38 Data Solutions jobs in Canada

Amilia is transforming the recreation and activities market with its innovative, purpose-built SaaS platform. Designed for municipalities, community centers, nonprofits, businesses, and recreation organizations, Amilia SmartRec™ streamlines operations, optimizes facility management, and simplifies program and membership management. 

Since 2009, Amilia has been on a mission to revolutionize how communities connect and participate in activities. By combining cutting-edge technology with deep industry expertise, the software empowers organizations to manage registrations, memberships, facilities, and finances more efficiently while enhancing community engagement. 

Over 1,500 organizations across 6,600 locations in North America rely on Amilia to serve 4.5 million participants and process $750M in transactions annually. 

Caring is at the core of Amilia’s culture: for customers, tailored products, and colleagues alike. Driven by an entrepreneurial spirit and a passion for innovation, this mindset shapes everything we do. 

What you can expect:

As a Data Solutions Consultant, you’ll be at the heart of our client onboarding experience. You’ll lead the charge in migrating complex datasets from legacy systems to SmartRec, while also designing custom data solutions that help our clients make smarter decisions. You’ll collaborate with cross-functional teams and act as a trusted advisor, solving real-world data challenges with creativity and precision. 

This is a unique opportunity to shape a growing team, build scalable processes, and make a direct impact on our clients’ success. 

You will be responsible for:

Data Migration & Onboarding  

• Scope and propose migration strategies during the sales cycle 

• Lead end-to-end data migration efforts (users, activities, payments) 

• Document and refine repeatable migration processes 

• Partner with Implementation Consultants to ensure smooth transitions 

Customer-Centric Data Solutions  

• Solve data-related business challenges with tailored solutions 

• Build custom reports and dashboards using tools like Power BI, API connectivity, automation tools  

• Support integrations with third-party applications 

• Advise clients on SmartRec’s data structures and best practices 

Process Improvement & Collaboration  

• Identify opportunities to improve and scale migration workflows 

• Maintain internal knowledge bases and integration guides 

• Collaborate with Product and Engineering to enhance platform features 

• Contribute to new service offerings that meet evolving client needs

**SAP Data Architecture Leader**
**Location: T** **oronto, Montreal, Calgary and Vancouver**
Capgemini Canada is seeking a dynamic and experienced SAP Data Architecture Technical Leader to spearhead the design, development, and implementation of cutting-edge data solutions. In this strategic role, you will act as a key bridge between business objectives and technological innovation, harnessing emerging technologies to deliver impactful, transformative results. This position offers a balanced mix of responsibilities- **50% focused on go-to-market strategy and client engagement** , and **50% dedicated to overseeing technical delivery** . It's an ideal opportunity for a professional who excels at solving complex data challenges and thrives in a fast-paced, collaborative environment.
**Required Skills**
**Selective Data Transition (SDT) Expertise** : Hands-on experience with SDT methodologies, including data carve-outs, harmonization, and consolidation.
**Project Delivery** : Proven track record of successfully delivering at least three greenfield SAP implementations and one SDT project.
**SAP Data Strategy** : Deep experience in defining and executing SAP data migration and analytics strategies, particularly within SAP S/4HANA environments.
**Tool Proficiency** : Strong working knowledge of data migration tools such as SAP Data Services (BODS), Syniti, SNP, CBS, Natuvion, or comparable platforms.
**Analytics Tools** : Expertise in SAP Analytics Cloud (SAC), Analysis for Office (AFO), and Embedded Analytics for real-time insights and reporting.
**ETL & Data Quality** : Hands-on experience with ETL processes, data profiling, cleansing, and data quality management across complex SAP landscapes.
**Data Governance** : Familiarity with data governance and stewardship tools such as SAP Information Steward or equivalent platforms.
**Cloud & Integration** : Understanding of SAP Business Technology Platform (BTP) and experience with hybrid or cloud-based data integration scenarios (e.g., Azure, AWS).
**Data Architecture & Modeling** : Proficiency in enterprise data architecture, data modeling (e.g., CDS Views, HANA Calculation Views), and data lineage practices.
**Security & Compliance** : Awareness of data privacy, compliance (e.g., GDPR), and security best practices in SAP environments.
**Pre-Sales & Solutioning** : Experience in preparing RFP responses, designing data solutions, and contributing to pre-sales and go-to-market activities.
**Leadership & Collaboration** : Demonstrated ability to lead data teams, mentor junior architects, and drive cross-functional collaboration.
**Stakeholder Engagement** : Exceptional communication and stakeholder management skills, with the ability to present complex technical concepts to both technical and executive audiences.
**Time Management** : Strong organizational skills to effectively balance delivery responsibilities with pre-sales and strategic initiatives
**Life at Capgemini**
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
+ Collaborating with teams of creative, fun, and driven colleagues
+ Flexible work options enabling time and location-based flexibility
+ Company-provided home office equipment
+ Virtual collaboration and productivity tools to enable hybrid teams
+ Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
+ Other perks and wellness benefits like discount programs, and gym/studio access.
+ Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
+ Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
+ Tuition assistance and weekly hot skill development opportunities
+ Experiential, high-impact learning series events
+ Access to mental health resources and mindfulness programs
+ Access to join Capgemini Employee Resource Groups around communities of interest
**About Capgemini**
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.
Get The Future You Want | ( is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.
**Job:** _Project Manager_
**Organization:** _I&D_
**Title:** _SAP Data Solutions Leader_
**Location:** _CAN-ON-Toronto_
**Requisition ID:** _ _

Job Description

Job Description

Senior Manager, Data Solutions Delivery
Toronto, Canada | Hybrid Model

Our client, ranked among the top 25% of the most engaged companies globally , is seeking a Senior Manager, Data Solutions Delivery to lead strategic data initiatives, oversee technical teams, and ensure alignment with enterprise architecture and security standards.

Key Responsibilities

• Lead end-to-end delivery of data solutions, ensuring alignment with business goals and technical standards.

• Partner with business stakeholders as a trusted advisor to define scope and outcomes.

• Oversee technical build teams to ensure quality, security, and compliance.

• Maintain technology roadmaps and manage backlog prioritization.

• Provide leadership, coaching, and support to delivery teams.

• Support application performance, incident resolution, and continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

• 7+ years in IT/data roles, including 5+ years in stakeholder-facing functions and 2+ years in project management.

• Strong experience in data management, integration, modelling, and quality practices.

• Hands-on expertise with Tableau and Informatica (required).

• Proficiency in SQL, Python, Power BI, and data warehousing technologies.

• Strong grasp of data engineering principles, pipelines, and BI solutions.

• Solid understanding of SDLC, Agile/Waterfall methodologies, and testing practices.

• Demonstrated leadership, team management, and stakeholder engagement skills.

• Strong communication, problem-solving, and organizational abilities.

Additional Details

• Must be legally eligible to work in Canada.

• Background check required.

Job Summary: We are seeking a highly skilled Senior Data Engineer with deep expertise in cloud-native data solutions, data warehouse migration, and pipeline orchestration.

This role focuses on designing, developing, and maintaining scalable data pipelines using Snowflake, Databricks, and Apache Airflow, with a

particular emphasis on data migration from Oracle to DBT Snowflake.

The ideal candidate will have a strong foundation in ETL/ELT processes, data modeling, and cloud architecture design.

Digital Competencies: Microsoft Azure, Python, Snowflake, PL/SQL

Key Responsibilities:

·    Design, develop, and optimize robust data pipelines using Snowflake, Databricks, and Apache Airflow.

·    Lead and execute data migration initiatives from Oracle to DBT Snowflake, including schema conversion, data transfer, and validation.

·    Build and maintain ETL/ELT processes for ingesting, transforming, and loading data from diverse sources.

·    Implement and manage data quality checks and governance standards.

·    Collaborate with data architects, data scientists, and business stakeholders to gather requirements and deliver effective solutions.

·    Monitor and troubleshoot pipeline performance to ensure data integrity and availability.

·    Maintain comprehensive documentation for pipelines, models, and migration processes.

·    Stay current with emerging data technologies and industry best practices.

Required Skills & Qualifications:

·    Bachelor’s degree in Computer Science, Engineering, or related field.

·    8+ years of experience in data engineering or a similar role.

·    Proven expertise in Snowflake: data warehousing, performance tuning, and security.

·    Strong experience with Databricks: Spark SQL, PySpark, Delta Lake.

·    Extensive experience with Apache Airflow for pipeline orchestration.

·    Demonstrated success in data migration projects, especially from Oracle to SQL Server or other RDBMS.

·    Proficiency in SQL and scripting languages such as Python and Scala.

·    Experience with cloud platforms: AWS, Azure, or GCP.

·    Solid understanding of data modeling techniques (e.g., dimensional modeling, normalization).

·    Excellent problem-solving, analytical, and communication skills.

Preferred Skills:

·    Experience with additional data migration tools and techniques.

·    Knowledge of data governance frameworks and compliance standards.

·    Familiarity with CI/CD pipelines for data solutions.

·    Certifications in Snowflake, Databricks, or cloud platforms.

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.

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.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director Data Engineering, Marketing Technology Solutions
Director Data Engineering, Marketing Technology Solutions
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
The Marketing Technology Solutions team at Mastercard is looking for a Senior Data Engineer to design, develop, and maintain data and analytics solutions that support Mastercard's B2B marketing initiatives. This role is key in building the data environment and integrations that will power advanced omni-channel marketing campaigns. As part of a small, collaborative team, you will work with large-scale data sets to unlock the value of big data across the global marketing team.
The ideal candidate is a hands-on engineer with a strong background in data engineering, a passion for building scalable solutions, and a commitment to driving business impact.
Role:
- Build and lead a team based in Toronto, Canada to build Mastercard's global marketing data platform to enable real time analytics and customer segmentation.
- Drive the evolution of data-driven marketing at Mastercard with a strong emphasis on data engineering and data science, ensuring impactful advancements in data quality, scalability, and efficiency.
- Develop and fine-tune methods and algorithms to generate precise, high-quality data at scale, including the creation and maintenance of feature stores, analytical stores and curated datasets for enhanced data integrity and usability.
- Solve complex data challenges involving multi-layered data sets though the building of data pipelines, libraries, and frameworks.
- Provide support for deployed data applications and analytical models, identifying data issues and guiding resolutions.
- Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
- Integrate diverse data sources, including real-time, streaming, batch, and API-based data, to enrich platform insights and drive data-driven decision-making.
- Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
- Collaborate with cross-functional teams to determine priority problems and innovative solutions.
- Develop and enforce best practices for data engineering, including coding standards, code reviews, and documentation.
- Ensure data security and privacy compliance, implementing measures to protect sensitive data.
All About You:
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- Experience building and leading teams through initial development.
- Inspirational leader with a strong focus on developing and growing talent.
- Extensive hands-on experience in Data Engineering, including implementing multiple end-to-end data warehouse projects in Big Data environments.
- Proven track record in building and deploying production level data driven applications and data processing workflows/pipelines.
- Proficiency in application development frameworks (Python, Java/Scala) and data processing/storage frameworks (Databricks, Spark, Kafka).
- Experience in designing and managing data orchestration workflows using tools such as Apache NiFi, Apache Airflow, or similar platforms to automate and streamline data pipelines using various types of Databricks connectors like Lakeflow and Spark Python Data Source API and Auto loader.
- Experience with performance tuning of database schemas, databases, SQL, ETL jobs, and related scripts, Unity catalog and Delta Live tables
- Experience of working in Agile teams
- Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale using Java, Scala, or Python. This includes all phases such as data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting analytics.
- Experience in developing integrated cloud applications such as Databricks and AWS.
- Excellent analytical and problem-solving skills, with the ability to analyze complex data issues and develop practical solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with and facilitate activities across cross-functional teams, geographically distributed, and stakeholders.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.