Program Manager — Data, AI & Analytics Portfolio

Program Manager — Data, AI & Analytics Portfolio Location: Ottawa, Ontario, Canada (Hybrid — 3 days onsite/week) Job Description Program Manager to join our team in Ottawa, Canada, leading enterprise Data, AI, Analytics, and Digital Innovation portfolios. Responsibilities Lead enterprise Data, AI, Analytics, and Digital Innovation portfolios Develop and execute strategic roadmaps for data modernization and AI adoption Oversee large-scale analytics, data engineering, machine learning, and GenAI programs Drive alignment among business stakeholders, data teams, technology leadership, and vendors Manage budgets, resources, program risks, and value realization Establish governance frameworks for data quality, AI ethics, security, and compliance Track adoption metrics and business outcomes of data and AI initiatives Required Skills & Experience 12+ years of technology leadership and program management experience 8+ years managing enterprise data, analytics, AI, or cloud transformation programs Strong knowledge of modern data platforms (Azure, AWS, Snowflake, Databricks, Fabric) Experience delivering AI/ML, Advanced Analytics, Data Lake, and BI programs Strong executive communication and portfolio governance skills Experience managing globally distributed teams and partner ecosystems Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field (Master's preferred) Nice to Have Experience with GenAI, Copilot, MLOps, and Data Governance programs Certifications in Azure, AWS, Databricks, Snowflake, PMP, or PgMP Life Sciences industry experience Travel: Up to 20%

Lead enterprise portfolios for Data, AI, Analytics, and Digital Innovation while developing strategic roadmaps for modernization. Manage budgets, resources, and governance frameworks to drive business outcomes and AI ethics.

Requires over 12 years of technology leadership and 8+ years managing enterprise data or cloud transformation programs. A Bachelor's degree in a technical field is required, with experience in modern data platforms and executive communication.

• Machine learningPreferred
• Microsoft AzurePreferred
• Amazon Web ServicesPreferred

Identified from the job description. Confirm important requirements above.

• Program Management
• Data Modernization
• AI Adoption
• Machine Learning
• GenAI
• Data Engineering
• Portfolio Governance
• Executive Communication
• Azure
• AWS
• Snowflake
• Databricks
• Fabric
• Data Governance
• MLOps
• Budget Management

• Data & Analytics
• Management & Leadership
• Technology
• Consulting
• Software

Minimum education

Bachelor’s degree

Minimum experience

10+ years

Apply by

Sep 9, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available