Technical Program Manager – Data Science

Location: Vaughan, Canada

Department: PMO

Experience: 10+ years

• Own end-to-end delivery of Data Science, ML, and AI programs — from scoping through production deployment and adoption.
• Build and maintain roadmaps, project plans, milestones, and resourcing across Data Science, Data Engineering, and Business/Operations stakeholders.
• Run Agile ceremonies (planning, reviews, retrospectives) and own program-level risk, dependency, and blocker resolution.

• Translate business priorities into scoped technical deliverables alongside Data Science and Engineering leads.
• Own executive-level status reporting and decision-making forums; manage competing priorities across multiple concurrent programs.

• Partner with Data Scientists and ML Engineers to track model development, validation, deployment, and adoption; support model lifecycle and governance processes.
• Coordinate with Data Engineering on pipelines, cloud infrastructure (Azure, Databricks, Snowflake), and technical readiness ahead of launch.
• Facilitate architecture and technical design reviews — without owning the technical decisions yourself.

• Mentor project managers, scrum masters, and technical leads; establish delivery best practices and program governance across teams.

• 15+ years of experience in Program Management, Technical Project Management, or Product Delivery, including 5+ years specifically managing Data Science, ML, AI, or Analytics programs.
• Working knowledge of the ML lifecycle, predictive analytics, and data engineering concepts — you don't need to build the models, but you need to speak the language fluently with those who do.
• Experience running large, multi-team enterprise technology programs using Agile, Scrum, SAFe, or hybrid delivery methodologies.
• Experience with cloud platforms (Azure, AWS, or GCP) and modern data platforms (Databricks, Snowflake, or equivalent).
• Excellent executive communication and stakeholder management skills, with a proven ability to run multiple concurrent programs in a fast-paced environment.

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; MBA or Master's in Data Science/Analytics is a plus.
• PMP, PgMP, PMI-ACP, SAFe Agilist, or Scrum Master certification.
• Experience with MLOps and model governance, AI/ML platform rollouts, or data governance and data quality programs.
• Background in optimization/Operations Research-driven programs, supply chain, retail, or logistics.
• Exposure to Generative AI or LLM-driven initiatives.