Senior Product Manager, Analytics & Insights
About The Position
CLEAResult is seeking a strategic Senior Product Manager to own the vision, strategy, and roadmap for client- and program-facing analytics products that help clients and program teams understand and optimize program value. This is an individual contributor role involving product discovery, PRDs and prototypes, backlog prioritization, and close involvement in delivery. The role partners with Data & AI, Software Engineering, Client Delivery and Success, and program leadership to build AI-enabled analytics. Products are part of a larger integrated solution, so the Senior Product Manager also owns their connections to upstream source products, the shared data platform, and the client and internal experiences that use them. The role defines a one-to-three-year vision and outcomes-focused roadmap based on client needs, program priorities, and market trends. It owns secure, multi-tenant client dashboards, value realization reporting, and consistent branded reporting that scales across clients while reducing manual work. It also shapes AI-enabled analytics experiences, including conversational tools and AI-generated insights, and establishes guardrails for accuracy, explainability, data access, and human review. The Senior Product Manager works with data engineering and platform teams to translate business needs into data product requirements for data ingested, modeled, governed, and served on Databricks. The position works directly with clients, program managers, and client success teams to understand reporting needs, validate solutions, and conduct roadmap reviews, intake, and release communications. It coordinates with peer product managers on shared data, instrumentation, integration points, and sequencing, and defines and tracks KPIs including analytics adoption, self-service usage, time to insight, data quality, reduced manual reporting, and client satisfaction. CLEAResult describes its culture as people-first and built on trust, accountability, and transparency, with respect and equal opportunity for employees. The role offers the opportunity to help clients understand program value and help program teams improve outcomes for communities, using tools including Databricks and Claude.
Requirements
- At least 5 years of product management experience, including ownership of data, analytics, or BI products.
- Hands-on experience with the Databricks platform and close collaboration with data engineering teams.
- Experience delivering client-facing or embedded analytics in a multi-tenant environment.
- Experience with AI-powered products such as conversational analytics, LLM-generated insights, or agentic tools, including ensuring their output is accurate.
- A record of shipping products with measurable business results.
- Experience in a multi-product or platform organization where the product area is part of a larger solution.
- Ability to translate business questions into data requirements and explain complex data findings plainly to clients.
- Applicants must be authorized to work in the country where the position is located without employer sponsorship or support.
- Successful hires must pass pre-employment checks.
Nice To Haves
- Experience delivering analytics products for enterprise clients in regulated or program-driven industries such as energy, utilities, sustainability, government, healthcare, or financial services.
- Experience with data governance, access controls, and data sharing.
Responsibilities
- Define a one-to-three-year vision and outcomes-focused roadmap for client and program analytics, based on client needs, program priorities, and market trends.
- Communicate roadmap tradeoffs to leadership, clients, and partners.
- Own secure, multi-tenant client dashboards, value realization reporting, and consistent branded reporting that scales across clients and reduces manual work.
- Shape AI-enabled analytics, including conversational tools and AI-generated insights, and set guardrails for accuracy, explainability, data access, and human review.
- Partner with data engineering and platform teams to define how data is ingested, modeled, governed, and served on Databricks, translating business needs into data product requirements.
- Work with clients, program managers, and client success teams to understand reporting needs, validate solutions, and run roadmap reviews, intake, and release communications.
- Coordinate with peer product managers on shared data, instrumentation, integration points, and sequencing across the product ecosystem.
- Define and track KPIs such as analytics adoption, self-service usage, time to insight, data quality, reduced manual reporting, and client satisfaction.
- Use quantitative data and qualitative feedback to make decisions, bring structure to ambiguity, and influence without direct authority.
- Run product discovery, write PRDs and prototypes, prioritize the backlog, and stay close to product delivery.
Benefits
- Medical, dental, and vision insurance.
- Company-paid health care concierge service to help employees navigate their health plan.
- 401(k) with company match.
- Paid vacation, sick, personal, and parental leave time.
- Paid volunteer time.
- Employee Recognition Program with points that can be converted into gift cards.
- Employee Assistance Program.
- Access to on-demand training courses.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
