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
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Own end-to-end delivery of Data Science, ML, and AI programs — from scoping through production deployment and adoption.
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Build and maintain roadmaps, project plans, milestones, and resourcing across Data Science, Data Engineering, and Business/Operations stakeholders.
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Run Agile ceremonies (planning, reviews, retrospectives) and own program-level risk, dependency, and blocker resolution.
Stakeholder & Executive Management
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Translate business priorities into scoped technical deliverables alongside Data Science and Engineering leads.
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Own executive-level status reporting and decision-making forums; manage competing priorities across multiple concurrent programs.
Technical & Data Science Oversight
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Partner with Data Scientists and ML Engineers to track model development, validation, deployment, and adoption; support model lifecycle and governance processes.
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Coordinate with Data Engineering on pipelines, cloud infrastructure (Azure, Databricks, Snowflake), and technical readiness ahead of launch.
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Facilitate architecture and technical design reviews — without owning the technical decisions yourself.
Team Leadership
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Mentor project managers, scrum masters, and technical leads; establish delivery best practices and program governance across teams.
What You'll Need
Required Qualifications
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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.
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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.
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Experience running large, multi-team enterprise technology programs using Agile, Scrum, SAFe, or hybrid delivery methodologies.
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Experience with cloud platforms (Azure, AWS, or GCP) and modern data platforms (Databricks, Snowflake, or equivalent).
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Excellent executive communication and stakeholder management skills, with a proven ability to run multiple concurrent programs in a fast-paced environment.
Preferred Qualifications
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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.
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PMP, PgMP, PMI-ACP, SAFe Agilist, or Scrum Master certification.
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Experience with MLOps and model governance, AI/ML platform rollouts, or data governance and data quality programs.
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Background in optimization/Operations Research-driven programs, supply chain, retail, or logistics.
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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
