Senior Data Program Manager
- Level
- Lead
Not stated in the posting: salary, work type, visa.
Open. First seen 21 October 2026.
About the role
Metropolis's standard text
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.
The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Data Program Manager to embed within our Data Platform and Data Science organization. In this role, you will deeply engage with technical teams to drive complex, cross-functional programs from inception to delivery across data infrastructure and machine learning systems. You will partner directly with engineers, data scientists, analytics engineers, and business stakeholders to bring clarity, structure, and momentum to critical initiatives ranging from data platform migrations to AI-powered product launches.
As the connective tissue of our data organization, you will build trusted relationships, streamline operational rigor, and ensure our most ambitious programs deliver predictably and seamlessly.
What you’ll do
- Own end-to-end program management for multi-team data platform and data science initiatives from scoping and planning through launch and retrospective
- Define program roadmaps, milestones, and delivery timelines while facilitating flexible agile ceremonies tailored to team needs
- Proactively identify blockers, surface risks early, and track program health through concise status updates, dashboards, and executive summaries
- Develop a 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
- Support Data Science teams across the machine learning project lifecycle from data preparation and experimentation to model deployment and monitoring
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
Metropolis's standard text
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.
What this role asks for
Particular to this role
Agile · dbt
Rare in Metropolis's other 35 open postings.
53% of this description is written for the role. The rest is Metropolis's standard text, folded away below.
Compared with Metropolis's other open jobs.
The team: Data Engineering & Analytics HIRES STEADILY
This role is one of 6 open in Data Engineering & Analytics. 4 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (6 of 6), Airflow (5 of 6), AWS (5 of 6), Data Warehousing (5 of 6), dbt (5 of 6), Looker (5 of 6), Python (5 of 6)
OTHER ROLES ON THIS TEAM
- Senior Data Scientist, Growth Marketing posted Oct 21
- Senior Data Scientist, Growth Marketing posted Oct 21
- Senior Data Scientist, Growth Marketing posted Oct 21
- Senior Data Scientist, Growth Marketing posted Oct 21
- Data Scientist posted Jan 19
From the team and dates on Metropolis's own job board.
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