Lead end-to-end delivery of data science, ML, and AI programs from scoping to production. Build roadmaps, manage cross-functional resourcing, run Agile ceremonies, manage risks/dependencies, coordinate model lifecycle and data engineering readiness, oversee executive reporting, and mentor PMs and technical leads to establish delivery best practices.
About the Role
We are hiring a Technical Program Manager (TPM) to lead delivery of our Data Science, Machine Learning, and AI roadmap — spanning optimization, forecasting, and advanced analytics initiatives — from business case through production. You will be the connective tissue between Data Science, Data Engineering, Operations, and executive leadership, turning ambiguous business goals into scoped, sequenced, de-risked delivery plans, and making sure programs actually ship.
What You'll Do
Program Delivery
- 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.
Stakeholder & Executive Management
- 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.
Technical & Data Science Oversight
- 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.
Team Leadership
- Mentor project managers, scrum masters, and technical leads; establish delivery best practices and program governance across teams.
What You'll Need
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Tools & Technologies
Program & Portfolio Management • Agile / Scrum / SAFe • ML Lifecycle • Azure / Databricks / Snowflake • SQL •Jira / Azure DevOps / Confluence •Risk & Dependency Management •Executive Reporting
TechBlocks Vaughan, Ontario, CAN Office
Suite 4,, 399 Applewood Crescent, , , Vaughan, Ontario , Canada, L4K 4J3
Similar Jobs
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead regional retail training and customer experience initiatives, deliver and implement sales, service, and clienteling programs, monitor KPIs, coach store teams and managers, support onboarding and digital tool adoption (Coach Journey, Client Compass), and drive consistent brand service standards across the market.
Top Skills:
Client CompassCoach JourneyExcelMS OfficePowerPointWord
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.
Top Skills:
Ai ToolsAirflowAWSBigQueryCi/CdDelta LakeGoHadoopIso-8583JavaKafkaKubernetesObservabilityPysparkPythonSnowflakeSparkSQLTemporalTerraform
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.
Top Skills:
Ai/MlAlgorithmic Impact AssessmentGenerative AiLlmsModel CardsModel Monitoring
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
