Lead the Data Product Ops function, focusing on operating models, product lifecycle management, governance, and strategy execution for data products.
Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society.
The Enterprise Data & Information (EDI) team is seeking a Data Product Ops Lead to architect, run, and mature the Product + Analysis operating model for the organization. This is a player–coach leadership role that designs the operating system for how we prioritize, define, deliver, and scale data products, while also directly supporting the execution of the most strategic products in-flight.
You will step into a high-functioning team and immediately develop and drive a capability maturity plan. You will also partner with other core capabilities (Engineering & Platform, Data Governance) to ensure EDI delivers high-quality, AI-ready, strategically aligned data products at scale.
How You Will Contribute
- Own and evolve the Product Operating Model capability, defining standards, processes, structures, and rhythms for predictable, high‑quality delivery.
- Within 60–90 days, conduct a start/stop/continue assessment of current practices; sequence improvements without pausing delivery.
- Lead the full Product + Analysis function (AI/Technical PM, Analysts) to operate with clarity, cohesion, and shared direction.
- Work closely with Engineering & Platform to align roadmaps, enforce SLAs/SLOs, adopt standards, and maintain platform reliability and observability.
- Build productive relationships across domain stakeholder groups (Finance & Strategy, Audience, etc.) and enterprise governance bodies.
- Define and run the end‑to‑end data product lifecycle, including artifacts, stage gates, and decision rights.
- Drive evidence‑based prioritization (e.g., RICE); ensure consistent intake, triage, and governance for every product/enhancement and enable transparent prioritization and trade‑off decisions across competing needs in the product portfolio.
- Personally lead strategy and delivery for select, high‑impact data products as needed—especially during strategic moments or capability transitions.
- Work side‑by‑side with senior PMs and Analysts to shape requirements, define success metrics, support prototyping, and validate that outputs are meaningful and AI‑ready.
- Ensure ongoing product delivery continues at pace while the operating model matures (no “pause” on execution).
- Establish KPIs for product maturity, predictability, throughput, quality, adoption, satisfaction, and artifact/documentation compliance.
- Publish dashboards for leadership visibility; drive continuous improvement against targets.
- Embed AI‑assisted practices into product workflows (requirements, documentation, prototype testing, user guidance).
Capability Leadership & Operating Model Strategy
Governance, Prioritization & Lifecycle Ownership
Strategy + Execution (Player–Coach Delivery)
Product Operations, Measurement & Continuous Improvement
What You Will Bring
- 6–10 years in Product Management, Product Operations, Delivery Management, or similar strategy/execution leadership roles.
- Proven ability to enter an active organization and rapidly diagnose operating gaps; implement a pragmatic start/stop/continue plan.
- Demonstrated success leading senior contributors (PMs, Analysts, Engineers) through influence, clarity, structure, and partnership.
- Experience building and governing product operating models (prioritization frameworks, lifecycle discipline, governance).
- Track record of translating strategy into execution as a player–coach (able to own critical products/workstreams hands‑on).
- Comfort operating in fast‑moving, ambiguous environments with evolving roles, processes, and technologies.
- Strong facilitation and communication skills across technical and non‑technical stakeholders; excellent alignment skills.
- Experience partnering with data engineering, analytics, and platform teams.
- Enthusiasm to contribute to Stand Together's vision and principled approach to solving problems, and a commitment to stewarding our culture, which champions values including transformation and innovation, entrepreneurialism, humility, and respect.
Standout Candidates Will Bring
- Experience in data product management, analytics product development, or enterprise data platforms (e.g., Snowflake, dbt, semantic layers).
- Familiarity with federated governance/data mesh and AI‑enabled product workflows.
- Experience in Finance & Strategy or adjacent enterprise data domain approaches.
- Product Owner or Product Management certification (e.g., CSPO).
What We Offer
- Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace.
- A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
- Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
- Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.
Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.
We believe diversity fuels creativity, broadens knowledge, and helps drive success. That is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.
Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
Answer owner relations calls about revenue, land, division orders, JIB, A/R, and A&P. Log and track inquiries in a case system, follow up on unresolved issues, build client relationships, handle difficult interactions professionally, and cross-train to expand skills.
Top Skills:
MS Office
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage large group insurance client relationships with a focus on reporting and metrics. Serve as primary liaison, deliver client reports and insights, lead projects and implementations, drive strategic initiatives, mentor junior staff, and ensure accurate system data and documentation.
Top Skills:
ExcelMS OfficeMicrosoft Powerpoint
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Partner with U100 sales to drive small-business growth by delivering analysis, reports, dashboards, and strategic sales support. Recommend process improvements, correct operational errors, lead projects, train sales on platforms, and support renewals and financial/contract evaluations.
Top Skills:
CopilotMS OfficeSalesforce
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
