Senior Product Manager — Data Platform

GallupSan Francisco, CA
Hybrid

About The Position

Help unlock the potential of nearly a century of Gallup data. As a senior product manager of our data platform at Gallup, you’ll shape how we use nearly 100 years of data to power analytics, research, AI/ML workflows and product development. In this role, you’ll have a unique opportunity to modernize a complex legacy data environment and build a scalable, trusted, self-service platform. With the freedom to learn and experiment, you’ll create new possibilities for how Gallup uses its extensive data to deliver insights and solutions to leaders around the world.

Requirements

  • Bachelor’s degree or equivalent practical experience required
  • At least seven years of product management experience, including at least four years focused on data platforms, infrastructure or developer/platform products, required
  • Deep understanding of data engineering and platform concepts, including ingestion, pipelines, cloud data warehouses, transformation frameworks, orchestration and data modeling, required
  • Experience owning a platform road map serving internal engineering, analytics or data science teams required
  • A commitment to working on-site at Gallup’s San Francisco office at least three days per week required
  • Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship

Nice To Haves

  • Experience leading or contributing to a major data platform migration preferred
  • Experience as a data engineer or data architect preferred
  • Experience with AI/ML workflows, particularly where data quality and governance enable successful outcomes, preferred
  • Familiarity with data governance, compliance and multiregion data infrastructure strategies preferred
  • Experience in an organization that combines research or consulting with technology products preferred

Responsibilities

  • Own the strategy and road map for Gallup’s enterprise data platform, ingestion, transformation pipelines, semantic layers and platform tooling
  • Translate architectural direction into quarterly plans with clear milestones, dependencies and adoption goals
  • Partner with data architects and engineers to deliver reliable, scalable infrastructure that balances consumer needs, shared platform capabilities and long-term sustainability
  • Evaluate build-versus-buy decisions and identify reusable abstractions and self-service capabilities that reduce one-off engineering work
  • Establish data-as-a-product standards, including ownership models, service level agreements (SLAs), data contracts, interface standards, platform success metrics and data modeling conventions
  • Help shape governance frameworks for data quality, schema controls, change management and observability
  • Serve as the front door for platform needs, translating stakeholder demand into scalable platform problems, patterns and investment decisions
  • Communicate platform capabilities, road map progress, tradeoffs and constraints clearly to technical and nontechnical stakeholders

Benefits

  • medical, dental, vision, life and other insurance options
  • a fully vested 401(k) retirement savings plan with company matching
  • an employee stock ownership program
  • mass transit reimbursement
  • family-building benefits
  • an employee assistance program
  • various reimbursements and activities that enhance our associates’ wellbeing
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