SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Metropolis Technologies is seeking a Senior Data Program Manager to embed within their Data Platform and Data Science organization. The company is pioneering the Recognition Economy through AI that makes the real world responsive, transforming experiences in parking, retail, and hospitality.
In this role, you will own end-to-end program management for multi-team data platform and data science initiatives, from scoping and planning through launch and retrospective. You'll define program roadmaps, milestones, and delivery timelines while facilitating agile ceremonies tailored to team needs. Key responsibilities include proactively identifying blockers, surfacing risks early, and tracking program health through status updates, dashboards, and executive summaries.
You'll develop deep understanding of the data platform stack—including pipelines, cloud data warehouses, dbt models, orchestration tools, and ML infrastructure—to coordinate migrations and upgrades with minimal disruption. You'll support Data Science teams across the ML project lifecycle from data preparation and experimentation to model deployment and monitoring.
As the connective tissue of the data organization, you'll translate technical concepts into clear business language for executives and business priorities into actionable technical requirements for engineers. You'll serve as the primary coordination point across Data Platform, Data Science, Analytics Engineering, BI Development, Product, Operations, and Finance to manage dependencies and resource planning.
You'll drive operational excellence by identifying process gaps, maintaining documentation and runbooks, and improving delivery predictability. You'll also coordinate programs advancing the company's AI enablement strategy, including data readiness initiatives, feature engineering workstreams, and LLM-powered product integrations while embedding data governance, compliance, and privacy.
Required: 5+ years of technical program management experience with at least 2+ years embedded in a data, analytics, or ML engineering organization. Strong understanding of the modern data stack (ELT pipelines, data warehousing, data modeling, analytics engineering). Experience managing ML or data science programs with working knowledge of the ML lifecycle. Proven ability to manage complex, cross-functional programs with multiple workstreams and stakeholders. Exceptional written and verbal communication skills. Comfort operating in ambiguity. Proficiency with program management tools (Jira, Asana, Linear, Notion).
Plus factors: hands-on experience with SQL, Python, dbt, or data platforms (Snowflake, Tableau, StatsSig); experience with generative AI or LLM-based product initiatives; PMP/PgMP certification; background in fast-growth tech or startup environments.
