93 Data Architecture jobs in Canada

Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Role
The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You'll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You'll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
- Educate customers on the value proposition of AWS and showcase the art of possible.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
- Capture and share best-practice knowledge amongst the AWS Architect community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.
Preferred Qualifications
- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Job Description

Job Description

At Katalyst Data Management, we are dedicated to delivering innovative solutions that drive success for our clients. Our commitment to excellence and continuous improvement has established us as a leader in the industry. As we expand our consulting services, we are looking to connect with talented individuals who can help us achieve our vision.

Position Overview:

We are currently accepting applications for the role of Data Management Consultant to build a pool of qualified candidates for future consulting opportunities. While there are no immediate openings, we recognize the growing demand for skilled data management professionals and want to be prepared to engage top talent as projects arise.

Key Responsibilities Examples:

• Collaborate with clients to assess their data management needs and develop actionable strategies.
• Design, implement, and optimize data management processes and systems.
• Ensure data quality and integrity through effective data governance practices.
• Analyze and interpret complex data sets, providing insights and recommendations for improvement.
• Train and support client teams on best practices in data management.

Qualifications:

• Bachelor’s degree in data management, Computer Science, Business Administration, or a related field.
• Proven experience in data management consulting, data governance, or relevant roles.
• Strong analytical skills and experience with data analysis tools and software.
• Excellent problem-solving capabilities and attention to detail.
• Effective communication and interpersonal skills to work collaboratively with clients and teams.

Why Join Katalyst Data Management?

• Opportunity to work on a variety of projects with diverse clients.
• Engage in a flexible work environment with opportunities for remote consulting.
• Contribute to innovative solutions that make a tangible impact.

If you are interested in being considered for future Data Management Consultant opportunities, please submit your resume and a brief cover letter outlining your qualifications and experience in the position by clicking the apply button.

We look forward to reviewing your application and possibly connecting with you for future opportunities!

Katalyst Data Management is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

Job Description

Company Overview 

At Ouster, we are pioneering the future of Physical AI by redefining the capabilities of deep learning. Through our groundbreaking digital lidar solutions, including the Ouster Gemini perception platform and BlueCity smart city applications, we deliver the critical intelligence needed to build a safer and more efficient world.

Job Summary

We are seeking a highly organized and detail-oriented Data Management Engineer to own, develop and operate our entire data pipeline, from collection to validation. In this critical role, you will be the bridge between our engineering teams, stakeholders, and external labeling partners. You will manage the full lifecycle of our datasets, ensuring the quality and integrity required to train and validate our advanced perception systems. The ideal candidate is a proactive problem-solver with a strong technical background in coding, data handling and a knack for process improvement.

---

Key Responsibilities

Data Acquisition & Management

• Stakeholder Coordination: Liaise with internal teams to define data collection requirements and priorities, maintaining clear documentation on collection needs.
• Data Collection: Perform on-site data recording using our systems and directly obtain datasets from key stakeholders or customers.
• Data Storage & Archiving: Manage and organize large datasets across various storage solutions, including Google Cloud (GCloud) and local Network Attached Storage (NAS), ensuring data is secure, accessible, and up-to-date.

Data Processing & Validation

• Lidar Pre-processing: Conduct initial alignment and pre-validation of raw Lidar point cloud data to ensure its quality and usability.
• Data Validation & Quality Assurance: Design, Develop and Perform rigorous validation processes on labeled data received from vendors to confirm it meets our standards before being integrated into training or validation sets.
• Dataset Management: Handle the strategic splitting of datasets for training and validation purposes. Identify and document errors or inconsistencies in current datasets and coordinate with labeling teams for corrections.
• Validation & Regression Framework: Add new datasets into our validation framework, which includes creating precise Areas of Interest (AOIs) and generating new baseline performance metrics.

Labeling & Process Improvement

• Labeling Coordination: Manage the end-to-end labeling process by sending data to our labeling partners, tracking their progress, and serving as the primary technical point of contact.
• Documentation: Own and update all labeling documentation, including defining new classes and clarifying labeling instructions to ensure data consistency.
• Metrics & Reporting: Continuously improve the metrics and reports used for our validation, performance and regression testing, adding new parameters as needed to enhance our evaluation framework.
• Automation & Efficiency: Run, maintain, and improve our pre-labeling pipeline to increase the efficiency of our data operations.
• Tool & Industry Research: Conduct industry research to identify and evaluate new tools and technologies that can make our labeling and data management processes more efficient.

---

Qualifications & Skills

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in managing large-scale datasets and complex validation pipelines  for machine learning and computer vision applications.
• Proficiency in scripting languages such as Python for automation and data manipulation.
• Familiarity with data labeling processes and managing multiple labeling vendors.
• Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.
• Excellent communication skills, with experience coordinating between technical teams and external vendors.
• Meticulous attention to detail, especially in data validation and quality control.
• Ability to identify a gap in processes and define a proper process to bridge over the gap.

Nice to have:

• Strong knowledge of C++ / RUST.
• DevOps or MLOps experience.
• Hands-on experience with Lidar data and point cloud processing.

Powered by JazzHR

OiE8OSEjGF

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:

Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

This position is responsible to ensure and maintain a high level of support corresponding to the team leads in all activities of the department and ensure active participation in the daily business of his/her functional responsibilities. Need an analytical, well-educated, knowledgeable, experienced, and motivated team-player with strong IT background, work ethic and integrity that will become a key part of IT-SAP Team to implement and provide adequate support for MM/SD/FICO modules to SAP users across locations of North and South America region.

Knowledge of SAP MDG and SAP MDM, Data Quality tools, Dashboard reporting, ETL tools is considered asset. Able to provide training to users if needed or requested. This role uses business knowledge, IT background, SAP processes and excellent interpersonal and communication skills.

Your Responsibilities

• Analyze business requirements and gaps not met by the existing systems / implementations
• Identify feasible solutions within SAP framework and estimate effort needed to meet those business requirements and gaps
• Implement solutions using SAP configuration, master data setup or code and support roll-out projects
• Provide day-to-day SAP and MDM end-user support
• Create a positive work environment by demonstrating and sharing functional/technical knowledge
• Complete other duties as required by the Manager from time to time
• Effectively uses teamwork to positively contribute to a high morale/high-performance team culture, consulting attitude and strong personal integrity
• He/she ensures global support
• Perform a complete, detailed needs analysis evaluating available applications and identifying opportunities for enhancing existing systems
• Assist in system-related issues of manufacturing information processes/procedures
• Assist in the coordination and collaboration of external consultants (Customer & Suppliers) as well as internal team members
• Consult where requested for research and implementation assistance in regards to new modules, features or interfaced/integrated new products
• Time tracking and documentation according to Magna Global IT standards
• Support roll-out projects
• Design practical, creative, conceptual technical solutions for business requirements balancing appropriate technology, cost and implementation timeline
• Ability to map business processes to master data domains (e.g., customer, product, supplier)
• Perform Root cause analysis for data quality issues
• Identifying and resolving data conflicts and duplicates
• Designing golden record strategies

Who we are looking for

• Completion college diploma/certificate
• A minimum of 5 years working as a business analyst, systems analyst, systems training, systems design, technical support, or applications programming
• Interface knowledge between modules such as MM/SD interaction with FI/CO is an asset
• Experience in Automotive Industry is desirable
• Min 5 years of SAP working experience
• Min 3 years of Master Data Management/Data profiling/Data governance hands-on experience
• Must be able to work independently as well as a team player and can manage own workload
• Previous experience in SAP implementation and development of SAP configurations is preferred
• Knowledge of SAP MDG - Master Data Governance/MDM - Master Data Management is preferred.
• Understanding of Data modelling, Data profiling and Cleansing, Meta Data Management is preferred.
• Knowledge of Business Intelligence (BI) is preferred.
• Knowledge of Power BI reporting is preferred.
• Review and work up development requests & specs for ABAP programmers to develop customized functionality or reports to meet business requirements
• Experience in project management with technical competence in SAP
• Project and Time Management Skills
• Analytical and flexible approaches in the projects and coordination of available resources
• Able to configure and support in at least two of MM/SD modules in SAP

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.

In addition, we offer you the following site benefits:

An overview of our benefits will be discussed during the recruitment process.

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:

Regular / Permanent

Group:

Magna Corporate

Missions 

Concevoir et définir des architectures Cloud centrées sur la donnée (Data Lake, Data Warehouse, Big Data, IA/ML).

Piloter l’implémentation de solutions Data & Analytics sur les principales plateformes Cloud (Azure, AWS, GCP).

Évaluer les besoins métiers et techniques pour proposer des solutions adaptées et innovantes.

Encadrer et accompagner les équipes techniques dans le déploiement et la mise en production des solutions.

Assurer la gouvernance des données (qualité, sécurité, conformité RGPD).

Conseiller sur les bonnes pratiques en matière de data engineering, data governance et BI/Analytics.

Réaliser une veille technologique afin d’anticiper les évolutions des solutions Cloud et Data.

Profil recherché

Diplôme en informatique, ingénierie des données ou équivalent.

Expérience confirmée (5 ans minimum) en architecture Cloud et projets Data/Analytics.

Maîtrise d’au moins une plateforme Cloud (Azure, AWS, GCP) et de ses services Data/AI.

Connaissances solides en bases de données (SQL, NoSQL), ETL/ELT, Big Data et BI.

Bonne compréhension des enjeux de sécurité et de gouvernance des données.

Excellentes compétences en communication et en gestion de projet.

Capacité à accompagner des clients dans leur transformation digitale autour de la donnée.

Compétences supplémentaires appréciées

Certifications Cloud (Azure Solutions Architect, AWS Certified Solutions Architect, Google Professional Data Engineer).

Expérience en Data Science ou Machine Learning.

Connaissance d’outils de visualisation (Power BI, Tableau, Looker).

Pourquoi nous rejoindre ?

Participer à des projets stratégiques de transformation digitale basés sur la donnée.

Intégrer une équipe d’experts passionnés par les technologies Cloud et Data.

Opportunités de certification et de formation continue.

Un environnement favorisant l’innovation et la montée en compétences.

management training sourcing job jobs offer internship morocco africa java développement developpement développeur developpeur informatique application it jee android consultant devops fullstack. D’abord. Tout d’abord. En premier lieu. Ensuite, de plus. Finalement. En outre. Par ailleurs. En dernier lieu. enfin. D’abord, En premier lieu, Pour commencer, Premièrement, En conclusions ur conclure, Enfn, Finalement, En dernier lieu, bien que. il y a aussi il est vrai que… mais. tout en reconnaissant que… on peut supposer que. Par exemple . En fait . Prenons le cas de. Considérons, par exemple. L’exemple le plus r. Cependant. Mais. Pourtant. Toutefois. Néanmoins. Contraste. Alors que. Tandis que. Par contre. En revanche Data & Analytics

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Sales & Customer Distribution Support
**Pay Details:**
$108.800 - $163,200 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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:**
Accountabilities includes:
+ Help in establishing the Data Management standards and processes for the CPB business
+ Work with partners across CPB to determine cross-functional alignment
+ Develop and maintain relationships with data partners, Enterprise Data Management office, and other stakeholders to support data management initiatives
+ Stay current on industry trends and best practices, implementing new tools and methodologies as needed
+ Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
+ Design and implement complex business data information management frameworks to provide a solution that meets business requirements
+ Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
+ Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data management activities are aligned with enterprise standards
+ Establish and implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
+ Develop and maintain knowledge of data available from upstream sources and data within various platforms
+ Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
+ May be responsible to understand and utilize business information management data deliverables
+ Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
+ Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis
+ Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
+ Lead the investigation of root causes for data issues and ensure data issues are resolved
+ Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
+ Adhere to enterprise frameworks or methodologies that relate to data activities for business area
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
**EXPERIENCE & EDUCATION**
+ Undergraduate Degree in a Technical Discipline (e.g. Engineering, Data Science, Computer Science)
+ 8+ years relevant experience with large program/project delivery with enterprise impact
+ 6+ years relevant experience in Data Governance, Data Management, and/or Data Quality
+ Strong skill in managing partners and stakeholders to ensure solutions meet strategic direction, business and technical requirements, budget, scalability and architectural goals with risks and impacts considered
+ Knowledge and experience of the financial services industry, banking and insurance products, corporate finance, risk management, statutory reporting practices, and regulatory compliance practices and the data that supports it
+ Knowledge and experience of data discovery, data classification, de-identification, and anonymization tools and techniques including understanding of in-house and third-party architectures
+ Ability to quickly gain understanding of the TD Data Risk, Privacy, Compliance, and Legal control functions and TD as a whole with expertise and specialized knowledge of data concepts and related technology and tools
**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.

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Sales & Customer Distribution Support
**Pay Details:**
$108.800 - $163,200 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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:**
Accountabilities includes:
+ Help in establishing the Data Management standards and processes for the CPB business
+ Work with partners across CPB to determine cross-functional alignment
+ Develop and maintain relationships with data partners, Enterprise Data Management office, and other stakeholders to support data management initiatives
+ Stay current on industry trends and best practices, implementing new tools and methodologies as needed
+ Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
+ Design and implement complex business data information management frameworks to provide a solution that meets business requirements
+ Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
+ Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data management activities are aligned with enterprise standards
+ Establish and implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
+ Develop and maintain knowledge of data available from upstream sources and data within various platforms
+ Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
+ May be responsible to understand and utilize business information management data deliverables
+ Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
+ Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis
+ Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
+ Lead the investigation of root causes for data issues and ensure data issues are resolved
+ Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
+ Adhere to enterprise frameworks or methodologies that relate to data activities for business area
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
**EXPERIENCE & EDUCATION**
+ Undergraduate Degree in a Technical Discipline (e.g. Engineering, Data Science, Computer Science)
+ 8+ years relevant experience with large program/project delivery with enterprise impact
+ 6+ years relevant experience in Data Governance, Data Management, and/or Data Quality
+ Strong skill in managing partners and stakeholders to ensure solutions meet strategic direction, business and technical requirements, budget, scalability and architectural goals with risks and impacts considered
+ Knowledge and experience of the financial services industry, banking and insurance products, corporate finance, risk management, statutory reporting practices, and regulatory compliance practices and the data that supports it
+ Knowledge and experience of data discovery, data classification, de-identification, and anonymization tools and techniques including understanding of in-house and third-party architectures
+ Ability to quickly gain understanding of the TD Data Risk, Privacy, Compliance, and Legal control functions and TD as a whole with expertise and specialized knowledge of data concepts and related technology and tools
**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.

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Sales & Customer Distribution Support
**Pay Details:**
$108.800 - $163,200 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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:**
Accountabilities includes:
+ Help in establishing the Data Management standards and processes for the CPB business
+ Work with partners across CPB to determine cross-functional alignment
+ Develop and maintain relationships with data partners, Enterprise Data Management office, and other stakeholders to support data management initiatives
+ Stay current on industry trends and best practices, implementing new tools and methodologies as needed
+ Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
+ Design and implement complex business data information management frameworks to provide a solution that meets business requirements
+ Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
+ Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data management activities are aligned with enterprise standards
+ Establish and implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
+ Develop and maintain knowledge of data available from upstream sources and data within various platforms
+ Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
+ May be responsible to understand and utilize business information management data deliverables
+ Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
+ Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis
+ Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
+ Lead the investigation of root causes for data issues and ensure data issues are resolved
+ Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
+ Adhere to enterprise frameworks or methodologies that relate to data activities for business area
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
**EXPERIENCE & EDUCATION**
+ Undergraduate Degree in a Technical Discipline (e.g. Engineering, Data Science, Computer Science)
+ 8+ years relevant experience with large program/project delivery with enterprise impact
+ 6+ years relevant experience in Data Governance, Data Management, and/or Data Quality
+ Strong skill in managing partners and stakeholders to ensure solutions meet strategic direction, business and technical requirements, budget, scalability and architectural goals with risks and impacts considered
+ Knowledge and experience of the financial services industry, banking and insurance products, corporate finance, risk management, statutory reporting practices, and regulatory compliance practices and the data that supports it
+ Knowledge and experience of data discovery, data classification, de-identification, and anonymization tools and techniques including understanding of in-house and third-party architectures
+ Ability to quickly gain understanding of the TD Data Risk, Privacy, Compliance, and Legal control functions and TD as a whole with expertise and specialized knowledge of data concepts and related technology and tools
**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.