Senior Product Manager, AI-Driven Analytics & Insights

CLEAResult; Massachusetts; Sur place; USD 103 000 - 155 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision Insurance

401(k) with company match

Paid time off

Paid Volunteer Time

Employee Recognition Program

Employee Assistance Program

Access to on-demand training

Résumé du poste

CLEAResult seeks a Senior Product Manager, Analytics & Insights to own the vision, strategy, and roadmap for client- and program-facing analytics products. You will lead discovery, write PRDs, prioritize the backlog, and partner with Data & AI, Software Engineering, Client Delivery and Success, and program leadership to build AI-enabled analytics.

This individual contributor role requires defining a multi-year vision, delivering measurable outcomes, and ensuring analytics connect to the data

Qualifications

• 5+ years of product management experience with data/analytics/BI products.
• Hands-on experience with Databricks platform and collaboration with data engineering teams.
• Experience delivering client-facing or embedded analytics in multi-tenant environments.
• Experience with AI-powered products (conversational analytics, LLM insights, or agent tools).

Responsabilités

• Define a 1–3 year vision and outcomes-focused roadmap for client and program analytics.
• Own secure, multi-tenant client dashboards and branded reporting.
• Shape how AI makes analytics accessible, including conversational tools and AI-generated insights.
• Partner with data engineering and platform teams on data ingestion, modeling, governance, and serving on Databricks.

Connaissances

Vision & roadmapping

Databricks integration

AI-powered analytics

Client-facing analytics

Multi-tenant platforms

Outils

Databricks

Claude

Description du poste

CLEAResult seeks a Senior Product Manager, Analytics & Insights to own the vision, strategy, and roadmap for client- and program-facing analytics products. You will lead discovery, write PRDs, prioritize the backlog, and partner with Data & AI, Software Engineering, Client Delivery and Success, and program leadership to build AI-enabled analytics.

This individual contributor role requires defining a multi-year vision, delivering measurable outcomes, and ensuring analytics connect to the data