Senior Data Program Manager

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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Metropolis is an artificial intelligence company for the real world.
The Role
Own end-to-end management of cross-functional data platform and data science programs, including roadmaps, milestones, agile ceremonies, risk tracking, status reporting, and executive communication. Coordinate data platform migrations, infrastructure upgrades, and AI-powered product launches while partnering with engineering, data science, analytics, and business teams. Support machine learning initiatives across data preparation, experimentation, deployment, and monitoring.
Summary Generated by Built In
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.

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 [email protected].

What the Team is Saying

Metropolis Technologies Compensation & Benefits Highlights

  • Healthcare Strength — Health insurance is described as subsidized for eligible staff, including medical, dental, vision, and mental-health support. Wellness initiatives and fitness programs further reinforce the breadth of care.
  • Leave & Time Off Breadth — Time off is characterized as flexible or generous (often unlimited for salaried roles), with paid holidays and premium pay when required to work them. Additional elements like volunteer time and sick leave are noted in some listings.
  • Retirement Support — A company 401(k) match is offered, signaling meaningful employer support for long‑term savings. This adds durable value to total rewards alongside salary and equity potential.

Metropolis Technologies Insights

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The Company
HQ: Santa Monica, CA
23,100 Employees
Year Founded: 2017

What We Do

Metropolis Technologies, Inc. is an artificial intelligence company whose computer vision platform enables checkout-free payment experiences for the real world. Its proprietary AI-driven technology reaches more than 50 million customers while reducing costs, increasing transparency and capturing additional revenue for real estate partners. Following its take-private acquisition of SP+, Metropolis is now the largest parking network in North America with more than 4,000 locations. To learn more about Metropolis, please visit www.metropolis.io.

Why Work With Us

We’re not your typical technology company. We’re world-class software and hardware engineers, we’re neighborhood urbanists and operators, we’re caring customer support specialists, we’re nerdy data scientists and machine learning engineers, we’re designers and architects… and many things in-between and beyond.

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Metropolis Technologies Offices

OnSite Workspace

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week.

Typical time on-site: None
HQSanta Monica, CA
Austin, TX
India
Chicago, IL
Nashville, TN
New York, NY
Seattle, WA
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