Data & AI Market Chief Architect Leader (Toronto)
$91.6k - $214.9k per yearCapgemini
Capgemini Canada is seeking a Senior Data & AI Market Chief Architect Director based in Toronto.
In this pivotal role you will serve as the vital link between business needs and technological innovation, leveraging diverse emerging solutions to deliver practical, value‑driven outcomes for the client. You are directly responsible for building AI & data capabilities to address the needs of new and existing clients and for leading the successful growth of AI, Data & Analytics solutions within Eastern Canada.
Key Responsibilities
Go‑To‑Market
- Define and execute the Data & AI Go to Market Strategy, ensuring alignment with global corporate objectives and business goals.
- Accountable for GTM and Value Creation activities in Eastern Canada.
- Partner with industry leaders to develop PoVs that demonstrate the depth of Capgemini’s AI, Data & Analytics capabilities.
- Collaborate with business development executives to create tailored data & AI value propositions that address the complex needs of enterprise clients across Eastern Canada.
Data Architecture
- Data architecture with significant experience at enterprise scale.
- Proven leadership in data platform strategy, modernization, or transformation.
- Experience influencing decisions at executive and board levels.
- Hands‑on understanding of analytics, cloud data platforms, and data strategy.
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 and public speaking opportunities.
Trusted Client Advisor
- Build and nurture trusted relationships with key enterprise clients, serving as a strategic advisor and partner in their AI transformation journey.
- Help clients unlock the full potential of AI investments, offering insights and strategies that lead to success.
People Leadership
Mentor, coach, and develop an expanding team of Data Engineers, Data Scientists, Data Architects, and Data Analysts. Develop a talent acquisition strategy to attract top Data & AI professionals across Western Canada.
Required Skills
- Bachelor’s degree in business, Data Science, or related field.
- Master’s degree in business or related field.
- Strong knowledge of modern cloud data estates (Azure, Databricks, AWS, Snowflake).
- Advanced knowledge of practical applications of AI.
- Passion for developing innovative solutions leveraging emerging technologies including Gen AI & Agentic AI.
- Exceptional communication and stakeholder management skills.
Compensation
The base compensation range for this role in the posted location is $91,599 to $214,896. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. This range may be subject to change as permitted by law.
Benefits
- Paid time off based on employee grade (A‑F), defined by policy: 12‑25 days, depending on grade.
- Company paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
Equal Employment Opportunity Statement
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program, supporting meaningful engagement with Indigenous communities across Canada. 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.
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