Senior Manager - AI Data Strategy

Capgemini; Calgary; On-site; CAD 110,000 - 140,000; Full time

Job summary

A leading technology consulting firm located in Calgary, Alberta is seeking a Senior Manager in AI Data Strategy. In this strategic role, you will enable clients to harness data for business agility, shape data operating models, and lead teams in complex transformations. A strong background in data strategy and agile principles is required. Join us to drive impactful data solutions and establish industry leadership in AI and data strategies.

Benefits

Healthcare including dental and mental health programs

Paid parental leave

Paid time off and holidays

Employee Share Ownership Plan

Mentoring and coaching programs

Qualifications

• Proven experience in designing and implementing data operating models in large enterprises.
• Strong understanding of Agile principles and product-oriented structures.
• Experience developing and executing data transformation roadmaps.

Responsibilities

• Architect data strategies to unlock business value.
• Lead implementation of modern data operating models.
• Develop roadmaps for complex data transformations.

Skills

Data strategy expertise

Agile delivery principles

Cross-functional leadership

Excellent communication

Stakeholder management

Familiarity with modern data platforms

Tools

Azure

AWS

Databricks

Snowflake

Job description

Job Description - Senior Manager - AI Data Strategy (082086)

Capgemini Canada is seeking a Senior Manager, Data & AI Strategist to join our growing I&D practice. This strategic role is focused on helping clients unlock business value and agility through modern data operating models and scalable delivery frameworks. The ideal candidate will bring deep expertise in data strategy, operating model design, and agile transformation, with a passion for enabling enterprise-wide data-driven decision‑making.

The Senior Manager will work closely with technology and business leaders to shape and implement data strategies that drive measurable outcomes. This role requires a strong understanding of product-oriented delivery models (PODs), data factory models, and the ability to lead complex transformations across diverse client environments.

Key Responsibilities

Client Strategy & Advisory

• Partner with senior stakeholders to architect how data can unlock business value through the right operating model.
• Refine and implement client Data Operating Model vision, strategy, and design—including organization structure, roles & responsibilities, governance, and processes.
• Provide insights on common pitfalls in operating model transformations and develop risk mitigation strategies.

Operating Model Design & Implementation

• Shape and lead the implementation of modern data operating models, including POD-based delivery and data factory constructs.
• Set up and scale PODs to meet evolving business needs, ensuring agility and efficiency.
• Support the creation of methods and processes to embed new ways of working across client organizations.

Transformation Leadership

• Develop actionable roadmaps for complex data transformations using Agile principles.
• Lead and coach client teams in adopting new operating models and data engineering practices.
• Mentor junior team members and foster a culture of continuous learning and innovation.

Strategy & Thought Leadership

• Inspire and educate both clients and internal teams about the latest trends and innovations in data & AI technologies (Databricks, Azure, OpenAI, Mistral, etc.), positioning Capgemini as a leader in the market.
• Build and maintain strategic relationships with Technology Partners and key stakeholders to ensure Capgemini remains a leading partner.
• Advance the AI & Data brand of Capgemini in Western Canada through curated media & public speaking opportunities.

Skills & Experience

• Proven experience in designing and implementing data operating models in large enterprise environments.
• Strong understanding of Agile delivery principles and product-oriented team structures.
• Experience with data transformation programs, including roadmap development and execution.
• Excellent communication and stakeholder management skills.
• Ability to lead cross-functional teams and influence senior decision‑makers.
• Familiarity with modern data platforms and cloud ecosystems (Azure, AWS, Databricks, Snowflake).

Why Join Capgemini Canada?

When you join Capgemini, you will get the support you need to shape your career in the way you would like. You will benefit from a collaborative community and be given opportunities to make a difference—for clients and society.

Everyday empowerment – Be empowered to explore, innovate, and progress in your projects, your organization, and your growth.

Shared energy – Bring your passion, enthusiasm, and individuality to work to express your uniqueness and connect for success.

Impactful experiences – Reimagine what is possible for our clients, use innovation to lead change, and champion the sustainable impact we can make on the world around us.

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:

• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging inclusion 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.

Please 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.