Senior Data Program Manager

Role: Senior Data Program Manager

Function: Data / Program Management

Location: Bengaluru

Type: Full-time

Industry: Information Technology & Services / Artificial Intelligence / Computer Vision

About Company

The company is a Santa Monica-based AI firm founded in 2017. It is the largest parking operator in North America, operating at 4,500+ locations.

Its computer vision and deep learning platform automates vehicle recognition and payment processing. This enables checkout-free experiences across parking, gas stations, car washes, and retail venues.

Backed by $4.1B in Series D funding, the company is pioneering intelligent physical infrastructure at massive scale.

Position Overview

This role sits at the heart of the company's Data Platform and Data Science organization. The Senior Data Program Manager drives complex, cross-functional programs from inception through delivery across data infrastructure and machine learning systems. The role serves as the connective tissue between engineers, data scientists, analytics engineers, and business stakeholders — bringing clarity, structure, and momentum to initiatives ranging from data platform migrations to AI-powered product launches. Success means critical programs deliver predictably, dependencies are managed proactively, and the data organization operates with increasing rigor and velocity.

Role & Responsibilities

• 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
• Translate technical concepts into clear business language for executive audiences, and translate business priorities into actionable technical requirements for engineering teams
• 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
• Drive operational excellence by identifying process gaps, maintaining program documentation and runbooks, and improving delivery predictability without introducing bureaucracy
• 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

Must Have Criteria

• 10+ 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, including ELT pipelines, data warehousing, data modeling, and analytics engineering
• Experience managing ML or data science programs, with working knowledge of the ML lifecycle across data preparation, experimentation, model training, deployment, and monitoring
• Experience coordinating programs that advance AI enablement strategies, feature engineering workstreams, and LLM-powered product integrations
• Proven ability to manage complex, cross-functional programs with multiple workstreams and stakeholders across engineering, product, and business teams
• Exceptional written and verbal communication skills, with a proven track record of writing crisp status updates, meeting summaries, and executive briefings
• Proficiency with program and project management tools such as Jira, Asana, Linear, or Notion

Nice to Have

• Hands-on experience with SQL, Python, analytics engineering tools like dbt, or data platforms including Snowflake, Tableau, and StatsSig
• Experience supporting generative AI or LLM-based product initiatives
• PMP, PgMP, or equivalent program management certification
• Background working in a fast-growth technology company or startup environment

What We Offer

• Opportunity to shape AI and data infrastructure strategy at one of North America's most well-funded computer vision companies (Series D)
• Direct partnership with senior engineering, data science, and product leadership on high-visibility, company-defining programs
• Fast-paced, ownership-driven culture that rewards builders who bring structure to ambiguity and move initiatives forward
• Exposure to cutting-edge AI enablement work, including LLM-powered product integrations and large-scale ML platform programs