90 Data Science Teams jobs in Toronto

Job Description

Job Description

Description

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

CI Financial is looking for an innovative leader to join our Data, AI & Analytics (DNA) team as the Manager of Data Engineering (Delivery). In this managerial role within the DNA team, you will oversee & perform the design, development, and optimization of scalable data pipelines and data models that enable seamless, reliable data flow and consumption across a variety of systems. Your work will support business objectives and empower data-driven decision-making. You will support the continuous advancement of our data engineering delivery practices, ensure data integrity, availability, and security, while promote strong collaboration across CI Global Asset Management.

KEY RESPONSIBILITIES:

Leadership & Strategy:

• Manage and lead a team of data engineers to deliver high-quality data solutions.
• Take ownership of project/initiative delivery, including planning, development, testing, and deployment, while working closely with cross-functional teams to ensure successful and timely outcomes.

Data Engineering:

• Design, development, and optimization of scalable data pipelines, data models to enable reliable data movement & consumption across diverse systems.
• Champion best practices in code quality and data architecture within the team.
• Develop and enhance data ingestion, transformation, and validation frameworks to improve productivity and ensure high data accuracy.
• Drive continuous improvements in platform architecture and CI/CD practices.

Collaboration & Communication:

• Collaborate closely with business analysts, product owners and business stakeholders to translate complex business problems into technical solutions.

Performance Optimization & Scalability:

• Troubleshoot and resolve production issues, including performance bottlenecks, data quality problems, and system failures; proactively identify recurring issues and optimize existing processes for reliability and efficiency.
• Drive continuous improvement of data platforms through automation, optimization, and monitoring.

Qualifications:

• 7+ years of hands-on experience in data engineering including 1–2 years of proven experience in  managing high-performing data engineering or technology teams.

• Expertise in architecting and building scalable data platforms, ETL/ELT pipelines, and data integration solutions.
• Solid understanding of data warehousing concept and data architecture (Kimball and/or Data Vault 2.0 methodologies)

• Proficiency in languages like SQL and Python and experience with Snowflake or similar data platforms.
• Strong project management skills with experience leading data engineering projects, including defining project scope, timelines, and deliverables, and managing project risks.

• Ability to navigate between technical and business audiences.

• Exceptional problem-solving abilities with proven record of tackling complex data challenges and delivering practical, impactful solutions.
• Experience with DevOps practices, including CI/CD pipelines and automated deployment/testing frameworks.

Preferred Qualifications:

• Knowledge of asset management, financial services, or wealth management industries

WHAT WE OFFER 

• Modern HQ location within walking distance from Union Station.
• Equipment Purchase Program.
• Training Reimbursement.
• Paid Professional Designations.
• Employee Share Purchase Program (ESPP).
• Corporate Discount Program.
• Enhanced group benefits.
• Parental Leave Top–up program.
• Fitness membership discounts.
• Volunteer paid Days.

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at , or call ext. 4747.

Job Description

Job Description

About Us!  
As part of the largest baking company in the world, Bimbo Canada is a leading producer and distributor of packaged fresh bread, bakery products and snacks. We produce and distribute more than 1,000 products across; 18 brands Canadians know and trust, like Dempster's®, Villaggio®, POM®, Bon Matin®, Stonemill®, Natural Bakery®, Takis®, Thomas'®, Little Bites™, Vachon®, Hostess® and more.

In business for more than 110 years, the company operates 15 bakeries and employs approximately 4,000 associates across Canada. Bimbo Canada creates value by being at the forefront of manufacturing and service delivery innovation in the baking industry through the continued improvement and refinement of its supply chain network while serving major grocery chains, retail outlets and foodservice operations across Canada.

At Bimbo Canada, we’re more than just a bakery - we’re a family dedicated to baking delicious moments for millions. Our beliefs are the foundation of our success, and we’re looking for people who share our commitment to excellence.

Position Summary:
We are looking for an Artificial Intelligence Specialist to champion AI adoption across our company while ensuring strategic alignment with business objectives and our technology ecosystem. The ideal candidate will be knowledgeable about AI technologies and skilled in educating, guiding, and translating needs of non-technical users to leverage AI solutions that improve efficiency, decision-making, and innovation. This role serves as a bridge between AI innovation and practical business applications, fostering adoption and best practices within our global ambassador community.

Key Responsibilities:
Alignment & Business Integration

• Partner with business leaders to identify AI opportunities that align with organizational strategy and deliver measurable value
• Translate business requirements into AI use cases and collaborate with technical teams on implementation roadmaps
• Monitor AI trends and assess their relevance to our industry and competitive landscape
• Develop business cases for AI investments and track ROI on implemented solutions

P latform & Technology Evangelism

• Serve as the primary advocate for our AI platforms and tools across all business units
• Design and deliver training programs, workshops, and demonstrations to drive platform adoption
• Collaborate with IT and platform teams to ensure seamless integration with existing technology stack
• Maintain expertise in our AI toolchain and stay current with platform updates and capabilities

Leadership & Knowledge Sharing

• Actively participate in our global AI ambassador network, sharing insights and best practices
• Organize and facilitate cross-functional AI working groups and communities of practice
• Create and curate content including case studies, tutorials, and success stories
• Represent the organization at internal and external AI conferences and events

Management & Adoption

• Develop change management strategies to overcome resistance and drive AI adoption
• Identify and train local AI champions within different departments
• Establish metrics to measure AI literacy and adoption across the organization
• Provide ongoing support and guidance to teams implementing AI solutions
• Advise on ethical considerations in AI development including fairness, transparency and accountability aligned to applicable regulations.
• Being able to travel 30% of the time nationally as well as internationally.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience with AI and machine learning concepts, tools, and applications.
• Strong communication and interpersonal skills to effectively educate and influence diverse audiences.
• Ability to translate complex AI topics into accessible language and practical business solutions.
• Familiarity with our specific AI platforms and technology stack (Microsoft, Oracle, ServiceNow) and programming skills (Python, R, or similar).
• Experience working in cross-functional teams and managing AI-related projects is preferred.
• Fluency in French and/or Spanish an asset but not mandatory

Preferred Qualifications:

• Experience in training or change management related to technology adoption.
• Knowledge of AI ethics, responsible AI practices, and data privacy regulations.
• Familiarity with cloud platforms and AI deployment environments.
• Experience tailoring AI solutions to specific industry challenges or business goals.

Growth Opportunities: Bimbo Canada is committed to personal and professional growth. We offer training, development, and advancement opportunities both domestically and internationally.

Innovation : Be part of a company that constantly innovates in the food industry. Your work will contribute to creating delicious products loved by millions.

The Bimbo Way:   We believe in the special dignity and value of the human person.  We believe that as people we form one community and we believe that this community is focused on getting results.  We do this by competing and winning in the market with superior quality in everything we do.  We believe in being sharp operators; that is, being very, very good at what we do, and always acting with integrity so that as a company we can transcend and endure for a very long time. That’s the Bimbo Way. 

We are incredibly proud of our distinction as one of Canada’s Most Admired Cultures by Waterstone Human Capital . This recognition is a reflection of how strong, people-first culture drives exceptional performance and sets us apart as industry leaders.  Bimbo Canada was also named one of the 2024 Best Places to Work by Canadian HR Reporter (CHRR) !    This tremendous honour recognizes our commitment to creating an outstanding workplace for our associates. 

If you are ready to join a company that values its associates and bakes delicious moments every day, apply today!

Your journey with Bimbo Canada starts here.

We thank all interested applicants, but only those selected will be contacted. Please note all offers of employment at Bimbo Canada (Formerly Canada Bread Company Limited) are conditional upon the successful completion of a pre-hire background check (including but not limited to criminal history, reference, credit and/or physical demands checks) as appropriate for the role and as permitted by law.

Bimbo Canada is an equal opportunity employer that is dedicated to building a diverse workplace that promotes diversity, equity and belonging in the workplace, and encourages applications from qualified people of all genders, visible minorities, aboriginal peoples and persons with disabilities. We welcome applications from all interested individuals; however, only those candidates selected for an interview will be contacted.

Job seekers with disabilities who require accommodation during the recruitment process, or would like more details about accessibility, should contact Bimbo Canada Accessibility at

Job Description

Job Description

Was wir bieten:

Bei Magna erwartet dich ein spannendes und dynamisches Arbeitsumfeld, in dem du dazu beitragen kannst, marktfhrende Automobiltechnologien zu entwickeln. Wir investieren in unser Personal und bieten ihm die Untersttzung und Ressourcen, die es bentigt, um erfolgreich zu sein. Als Mitglied unseres globalen Teams erwarten dich aufregende und vielfltige Aufgaben sowie ein breites Spektrum an Entwicklungsmglichkeiten. Wir sind nmlich der Meinung, dass dein Karrierepfad genauso individuell sein sollte wie du selbst.

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.

Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.

Job Responsibilities:

As an Artificial Intelligence Student, you will play a vital role in implementing AI projects on our production floor to enhance efficiency and quality. Collaborating with cross-functional teams, you will develop and execute innovative AI solutions, using your creative thinking to tackle complex challenges. Reporting on project progress and continuously improving AI implementations will be essential aspects of your role. Your expertise in AI technologies, programming, and machine learning algorithms will contribute to our company's digital transformation.

**Please note this is a 1 year contract. You must currently be enrolled in a Co-Op Program with your College or University

• Develop and Train machine learning models through our specialized AI Video tools
• Validate and test models using Python OpenCV
• Aid in building and deploying AI Systems on our production floor to integrate with existing systems.
• Evaluate the feasibility and potential impact of AI initiatives and propose innovative solutions.
• Work closely with cross-functional teams to gather requirements and design AI solutions.
• Monitor and continuously improve the performance and effectiveness of AI implementations.
• Stay up to date with advancements in AI technologies and identify opportunities for continuous improvement.
• Regularly report on the progress of AI initiatives, including milestones achieved, challenges faced, and future.
• Document all methodologies, processes and results
• Provide training and support to team members on AI-related projects

Requirements:

• Enrolled in Bachelors or Masters in Artificial Intelligence, Machine Learning or Equivalent Field
• Python, YOLO Models, Tensorflow, PyTorch
• Strong analytical skills with the ability to interpret and derive insights from complex data
• Proficiency in working with a wide range of AI toolboxes and frameworks
• Fluent English in reading, writing & communication.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

Fixed Term (Fixed Term)

Group:

Magna Exteriors

Senior Machine Learning Research Engineer - Artificial Intelligence
Location
Toronto
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.
At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.
In Toronto, our Machine Learning Engineers are central to advancing Bloomberg's efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.
**Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:**
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in ML and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
**We are looking for Senior ML Research Engineers with the following experience:**
+ Practical experience with solving Machine Learning problems and techniquesPh.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
+ Experience with machine learning and deep learning frameworks
+ Proficiency in software engineering
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
**If this sounds like you:**
Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Machine Learning Team Lead - Artificial Intelligence Group
Location
Toronto
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration.
For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 300 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.
The AI group contributes to Bloomberg's flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems.
We are looking for Machine Learning Team Leads in Toronto, who will guide and support teams of research engineers and software developers working on initiatives in query understanding and code generation. In this capacity, you will provide technical leadership, mentor team members, and manage projects from end-to-end. You will work hand-in-hand with key stakeholders across the business, and partner closely with Product, Data and our broader Code Generation organisation in NYC, to align technical objectives with business needs, drive innovative applications of cutting-edge GenAI techniques, and ensure the successful deployment of state-of-the-art models tailored for financial code generation tasks.
**What's In it for you:**
We are seeking a highly skilled and motivated Machine Learning Engineering Team Lead who will be responsible for leading a team of ML engineers that are driving applied research in ML/NLP and bringing innovative solutions to data-driven customer-facing products. You will lead the development and application of the state-of-the art machine learning models including leveraging cutting-edge NLP techniques such as Large Language Models (LLMs).
You will be collaborating with subject matter experts to gain valuable insights and use their domain expertise to guide building high quality machine learning models. You will closely be working with product owners, our domain experts, data engineers and front-end engineers to build and integrate ML solutions to our product.
**We'll trust you to:**
+ Participate in the development process of ML based financial products as a technical leader
+ Collaborate with colleagues on production machine-learning systems and applications
+ Design, experiment, and evaluate software systems
+ Write, test, and maintain production-quality code
+ Represent Bloomberg at conferences and open-source communities
+ Demonstrate technical leadership by owning cross-team projects
+ Build the libraries and frameworks that support fault tolerant and testable systems
**You'll need to have:**
+ Extensive experience building and deploying Machine Learning models to production
+ Extensive experience in software engineering
+ Previous experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ Ability to effectively communicate, challenge and influence team members, peers, and stakeholders
+ History of successfully delivering on key initiatives and driving long-term strategic technology plans
**We'd love to see:**
+ Demonstrated experience of building a suite of applications with extensibility in mind
+ Previous experience in a team leader capacity
+ An understanding and appreciation for agile development practices
+ Financial domain knowledge and experience (not required)
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

**Position Snapshot**
**Business area:** Nestlé Canada
**Job title:** IT Data Engineering Intern
**Location:** 25 Sheppard Ave W, North York, ON M2N 6S8
**Hybrid**
**Position Summary**
We are looking for an IT Data Engineering Intern based at our North York Location from May to August 2026.
**A day in the life of a IT Data Engineering Intern**
As a Data Engineering Intern, you will be working on the development, support and documentation of data pipelines in cloud.
You will also:
- Responsible for developing and maintaining data models for advanced analytics.
- Analyze data and data structures, as well as the design and build of all forms of database schemas (relational, OLAP, Big Data etc.) to support a wide range of strategies for secure data acquisition, data cleansing and blending, data storage, analysis and modelling.
- Ability to communicate verbally and written, and ability to present to all level of stakeholders throughout the organization.
- Translate technical requirements in a non-technical way to business stakeholders.
- Engage with stakeholders as appropriate to ensure business understanding and stakeholder satisfaction.
- Work closely with team of experts, locally and remotely to ensure quality and timeliness of data.
- Designing and supporting cloud data pipelines in Microsoft Azure, Databricks and Snowflake using a mix of SQL, Python, ETL and Data Warehousing concepts.
**What will make you successful?**
As the successful candidate, you will have the opportunity to support research into recyclable materials, complete analysis to validate current and potential materials and provide support to corporate engineering with their on-going projects.
You will also:
- Currently enrolled in relevant technology programs such as Applied Statistics, Mathematics and/or Computer Science, Engineering.
- Previous Engineering experience is an asset, but not mandatory.
- Involvement in extracurricular activities which demonstrate initiative and leadership.
- Team player with demonstrated ability to work effectively across all functions and levels.
- Fast learner, and must be comfortable working within a dynamic, challenging environment.
- A results and detail-oriented professional with strong analytical, problem solving skills and strong attention to detail
- Computer literate (PowerPoint, Word, Excel).
- Basic understanding of data warehousing and ETL concepts.
**Preferred Qualifications:**
- Strong understanding of SQL and familiarity with Python programming language.
- Exposure to Microsoft Cloud System- Azure and Azure Databricks.
- Effective communication and interpersonal skills.
- Basic understanding of Distributed processing system such as Apache Spark.
- Curious and an innovate mindset to drive improvements in existing processes.
We have a friendly, supportive team with a coaching and mentoring environment. There are real opportunities for future development and progression - this really could be a move towards the exciting Data Engineering career you've always wanted.
**Benefits**
+ Flexible and hybrid work arrangements
+ Excellent training and development programs as well as opportunities to grow within the company
+ Up to 50% off - Nespresso Coffee Machine, Capsules and accessories
+ Access to the Discount Company store with Nestlé, Nespresso, and Purina products (Located across various Nestle offices/sites)
+ Additional discounts on a variety of products and services offered by our preferred vendors and partnerships
**What you need to know**
Applications close on Friday, October 31, 2025. We will be considering applicants as they apply, so please don't delay in submitting your application.
Nestlé Canada is an equal-opportunity employer committed to diversity, equity, inclusion, and accessibility. We welcome qualified applicants to bring their diverse and unique experiences as a result of their education, perspectives, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran's status, colour, religion, disability, sexual orientation and beliefs.
If you are selected to participate in the recruitment process, please inform Human Resources of any accommodations you may require. Nestlé will work with you in an effort to ensure that you are able to fully participate in the process.
#2026Internships

**About the Role:**
**Grade Level (for internal use):**
13
**The Team:**
S&P Dow Jones Indices is seeking a Lead Data Engineer with AWS EMR and Databricks Expertise to be a key player in the implementation and support of data platforms for S&P Dow Jones Indices. This role requires a seasoned technologist who contributes to application development and maintenance. The candidate should actively evaluate new products and technologies to build solutions that streamline business operations, particularly in the context of migrating our data ecosystem to Databricks. The candidate must be delivery-focused with solid financial applications experience. The candidate will assist in day-to-day support and operations functions, design, development, and unit testing.
**Responsibilities and Impact:**
+ Lead the design and implementation of EMR / Big Data workloads using Python, including data access from relational databases and cloud storage technologies.
+ Design and implement data pipelines in Databricks, leveraging Delta Lake for efficient data management and processing.
+ Ensure performance, security, and reliability; coordinate with application teams to define database design.
+ Collaborate with cross-functional teams to support data-driven initiatives, including the integration of Unity Catalog for data governance and access management.
+ Mentor junior team members and promote best practices.
+ Oversee SPARK maintenance and troubleshooting.
+ Drive innovation by evaluating and integrating new technologies, including open-source delta formats and Iceberg data formats for advanced data lake solutions.
+ Produce system design documents and participate in technical walkthroughs.
+ Perform application and system performance tuning and troubleshoot performance issues.
+ Effectively interact with global customers, business users, and IT staff.
**What We're Looking For:** **Basic Required Qualifications:**
+ Bachelor's degree in computer science, Information Systems, or Engineering, or equivalent work experience.
+ 12+ years of IT experience in application support or development.
+ Strong experience in managing EMR workloads, including configurations.
+ Experience with Databricks and Delta Lake, along with NoSQL-related database technologies.
+ Experience in working with multi-threaded, high-performance, low-latency messaging systems.
+ Experience in AWS cloud-based technologies.
+ Experience using system tools, source control systems, utilities, and third-party products.
+ Experience with financial applications such as Index/Benchmarks, Asset Management, Portfolio Investment modeling, or trading systems.
+ Excellent communication skills, with strong verbal and writing proficiencies.
**Additional Preferred Qualifications:**
+ Proficiency in building data analytics solutions on AWS Cloud and Databricks.
+ Thorough understanding of replication strategies and implementation of HA protocols for 99.99% uptime.
+ Experience with the implementation of data governance and data lineage, particularly using Unity Catalog.
+ Proficiency in implementing data models in SQL and NoSQL databases.
+ Experience with microservice and serverless architecture implementation.
**About S&P Global** **Dow Jones Indic** **e** **s**
At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies.
S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Toronto, Ontario, Canada

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Technology Solutions
**Pay Details:**
$136,000 - $183,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
The Finance, Risk Data Curation Product Group, TD Data is accountable to provide high quality data solution for the Finance and Risk teams. The Senior Management, Data Engineering will act as the product owner and technology leader for the Finance workstream. This will include prioritization, backlog refinement, stakeholder management.
Accountable for building, maintaining and evolving the culture and community of Engineers and is responsible for coaching on knowledge, skills and performance, building and evolving their capabilities, and advising engineers on their work to ensure solutions meet business needs and aligned with technology strategies and emerging industry standards; this includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
**CUSTOMER**
+ Lead / manage a team of Engineers / Technology Specialists and oversee related engineering analysis activities and deliverables
+ Provide overall team leadership, training, coaching, development, succession, recruitment and resource management, and ensures on-going performance feedback and assessments occur and development plans exist for each team member. Engages team with Platform and Journey leads to ensure 2-way feedback of Practitioners occurs.  
+ Execute introducing engineering tools, methodologies and processes across the enterprise
+ Accountability to understand the current skills and capabilities within their practice, actively working to close gaps that may exist through additional learning, coaching, supports etc.
+ Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute  on their respective mandates
+ Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
+ Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
+ Work with partners across Business and Technology and apply in-depth understanding of relevant business needs to identify  andleverage synergies across the various areas
+ Act as the expert or lead innovator and agent of change for the programs and services under management
+ Lead interface with other technology teams to implement best practices, standards and management
+ Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
+ Identify and effectively manage stakeholder engagement and impacts across the enterprise
+ Engage executive stakeholders appropriately to review progress and obtain input, validation and approval of key decisions
+ Anticipate client needs to influence the development of innovative engineering solutions as well as business strategies
**SHAREHOLDER**
+ Anticipate internal/external business and regulatory issues; recommends process/product/organizational improvements
+ Manage resource requirements and assignment, ensuring project milestones are met and monitoring to keep projects on schedule and within budget
+ Oversee business expenses and FTE plans and ensure controls in place to monitor, effectively track and manage to established plans
+ Support team in staying knowledgeable on emerging issues, engineering trends and evolving regulatory requirements and assess potential impacts to the Bank 
+ Proactively identify emerging technologies and innovative solutions for building more robust platform domains
+ Contribute to the continuous enhancement of knowledge / expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective customer solutions.
+ May interact with governance and control groups, (e.g. regulatory and operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items relating to Engineering technology and tools
+ Lead teams to deliver solutions in assigned functional area, meet SLA's, Interface with IT, finance, audit, business unit management and other areas of TD to ensure integrated processes, efficient introduction of new technologies, retirement of obsolete technologies and support for business-led initiatives requiring the capabilities of the Engineering function
**EMPLOYEE / TEAM**
+ Cultivate and model the Colleague Promise to support colleague growth, and a culture of care; make an impact at work and in our communities by leading with authenticity and supporting well being to represent TD's brand
+ Connect the alignment of colleague's contributions with the TD Shared Commitments 
+ Build and retain an engaged and diverse team that embraces diversity of thought, creativity and curiosity; where every colleague and customer are valued, respected, and listened to; committed to a common goal and collaborate to move with speed and get things done
+ Demonstrate inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results
+ Sustain, identify strong talent, recruit and develop a diverse talent pipeline of qualified workforce to innovate and maximize individual strengths to lead to a better business outcome
+ Enable colleague growth by encouraging colleague development to achieve career and business objectives; ensuring timely feedback, motivating appreciation and recognition to all colleagues
+ Enable a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership
+ Foster an environment that promotes sharing of knowledge, information, skills, and subject matter expertise among the team; ensure timely management and escalation of issues and create opportunities to collaborate with other functions and teams
+ Lead your team through change and create an environment where teams feel psychologically safe to challenge current practices by modeling resiliency and flexibility, communicating a compelling vision with clarity and empowering colleagues to drive innovation
+ Contributes to the development of business segment and/or enterprise functional strategic priorities within their operational area or field of specialty that drive results
+ Develops annual and/or long-term plans for own area that are aligned with enterprise-wide priorities, reinforcing a focus on results that align to One TD
+ Foster a high-performance culture by setting team targets and objectives, promoting and facilitating on-going feedback/coaching and conducting Quarterly Check-Ins for all colleagues to drive accountability and business results
+ Manage employees in compliance with all human resources policies, procedures and guidelines of conduct
**BREADTH & DEPTH:**
+ Deep expertise and knowledge of big data and data engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues
+ Advanced and highly specialized knowledge of TD data applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
+ Expert technical skills and a strong understanding of the team's product; spends about half their time on technical issues
+ Provide people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
+ Participates in the development of business strategies
+ Possesses expert understanding of the technology and issues
+ Ensures solutions are consistent with organizational objectives
+ Utilize subject matter expertise to introduce new technologies, or new versions of existing technologies, into the organization
+ Generally reports to an executive
**EXPERIENCE AND / OR EDUCATION**
+ University or post-graduate degree
+ Strong academic background (e.g., computer science, engineering)
+ 10+  years relevant experience
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.**
We are looking for a **Regional Tech Engineering** **Lead** to manage the **technical operations and delivery** of our digital marketing product stack across NA/LA Region. This includes websites, the regional Customer Data Platform (CDP), media solutions, and emerging Marketing GenAI solutions. This role ensures the technology landscape runs smoothly, integrations are executed effectively, and platform performance meets the needs of our marketing teams. As the go-to technical expert in-region, you will partner with regional & global IT teams, vendors, and local market stakeholders to ensure seamless execution and support of our digital marketing ecosystem.
**Key Responsibilities:**
+ Oversee the **regional** **MarTech** **landscape** from a tech standpoint, ensuring platform reliability, integration, and performance
+ Act as the **technical point of contact** for global digital marketing product rollouts and support
+ Collaborate with global product and engineering teams to align on architecture, deployment, and enhancements
+ Oversee System Integration Testing (SIT) execution, including test plan approval, defect management, and quality gate enforcement
+ Ensure IT Operations setup is fully implemented in partnership with Global Product Team, including monitoring, alerting, and support procedures
+ Manage technical issue resolution, documentation, and user enablement for regional stakeholders
+ Align on key data quality monitoring scope and process, implementing data quality metrics and automated validation checks
+ Maintain comprehensive technical documentation and knowledge base for the platform
+ Ensure platforms comply with security, privacy, and Responsible AI principles
+ Support implementation of new features or tools by coordinating across business and IT teams
+ Identify and manage technical debt with prioritized remediation plans
+ Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.
**More about this role**
**Required Skills:**
+ 5-7 years of experience in marketing technology, IT solution delivery, or digital platform support
+ Technical knowledge of **CDPs, CRM, CMS, DAM, media platforms** , and marketing data flows
+ Proven experience supporting or delivering regional or global digital products
+ Strong troubleshooting, integration, and communication skills
+ Experience working in cross-functional and multi-market environments
+ Familiarity with cloud environments (e.g., GCP, Azure), APIs, and data privacy practices preferred
+ Proven hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics.
+ Proven skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner.
+ Proven experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives
+ Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.
+ Strategic and analytical thinker, setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions.
+ Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform
**Compensation:**
The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays, and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
**Business Unit Summary**
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
**Job Type**
Regular
Software & Applications
Technology & Digital
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.