Data Product Ops Lead

2 weeks, 6 days ago
Full-time
Senior
Data Science and Analytics
Stand Together

Stand Together

Stand Together is a philanthropic community that empowers changemakers to address the underlying issues of significant societal challenges in America, focusing on areas such as education, healthcare, and fostering bipartisan collaboration.

Diversified Consumer Services
251-1K

Description

  • Own and evolve the product operating model, including standards, processes, structures, and operating rhythms for data product delivery.
  • Lead the Product + Analysis function, including AI/Technical PMs and analysts, with clarity, cohesion, and shared direction.
  • Diagnose current operating gaps and drive a start/stop/continue improvement plan within 60–90 days without interrupting delivery.
  • Define and manage the end-to-end data product lifecycle, including artifacts, stage gates, and decision rights.
  • Run intake, triage, governance, and evidence-based prioritization across the data product portfolio.
  • Partner with Engineering & Platform to align roadmaps, enforce SLAs/SLOs, and support platform reliability and observability.
  • Build productive relationships with domain stakeholders and enterprise governance bodies.
  • Personally lead strategy and delivery for select high-impact data products during key transitions or strategic moments.
  • Work with senior PMs and analysts to shape requirements, define success metrics, support prototyping, and validate outputs.
  • Establish KPIs and dashboards to track product maturity, throughput, quality, adoption, satisfaction, and documentation compliance.

Requirements

  • 6–10 years of experience in Product Management, Product Operations, Delivery Management, or similar strategy/execution leadership roles.
  • Proven ability to quickly assess an active organization and implement a pragmatic operating improvement plan.
  • Demonstrated success leading senior contributors, including PMs, analysts, and engineers, through influence and partnership.
  • Experience building and governing product operating models, including prioritization frameworks, lifecycle discipline, and governance.
  • Track record of translating strategy into execution in a player–coach role with hands-on ownership of critical workstreams.
  • Comfort working in fast-moving, ambiguous environments with evolving roles, processes, and technologies.
  • Strong facilitation and communication skills across technical and non-technical stakeholders.
  • Experience partnering with data engineering, analytics, and platform teams.
  • Experience in data product management, analytics product development, or enterprise data platforms such as Snowflake, dbt, or semantic layers preferred.
  • Familiarity with federated governance, data mesh, and AI-enabled product workflows preferred.
  • Experience in Finance & Strategy or a related enterprise data domain preferred.
  • Product Owner or Product Management certification, such as CSPO, preferred.

Benefits

  • 6% 401(k) match with immediate vesting.
  • Flexible time off.
  • Comprehensive health and dental plans.
  • Wellness and mental health support through Peloton and Talkspace.
  • Competitive salaries.
  • Bonus opportunities.
  • A non-hierarchical environment that supports employee growth and development.
  • The opportunity to join a mission-driven community of more than 1,300 employees.

Interested in this position?

Apply directly on the company website

Apply Now

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