
Senior Product Manager, Analytics & Insights
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in Ohio, +4 more states.
β’ Take ownership of the vision, strategy, and roadmap for analytics products aimed at clients and programs.
β’ Conduct discovery, author PRDs and prototypes, prioritize the backlog, and maintain close communication during delivery.
β’ Collaborate with Data & AI, Software Engineering, Client Delivery and Success, and program leadership to create AI-driven analytics.
β’ Manage the integration of analytics products with upstream source products, the shared data platform, and both client and internal experiences.
β’ Establish a 1β3 year vision and a roadmap focused on outcomes that align with client needs, program priorities, and market trends.
β’ Oversee secure, multi-tenant client dashboards, value realization reporting, and scalable branded reporting solutions.
β’ Influence the development of conversational analytics and AI-generated insights, ensuring accuracy, explainability, data access, and human review are maintained.
β’ Collaborate with data engineering and platform teams on data ingestion, modeling, governance, and serving using Databricks.
β’ Engage with clients, program managers, and client success teams to validate solutions and facilitate roadmap reviews, intake, and release communications.
β’ Coordinate efforts with fellow product managers on shared data, instrumentation, integration points, and sequencing.
β’ Define and monitor KPIs, including analytics adoption, self-service usage, time to insight, data quality, reduced manual reporting, and client satisfaction.
β’ Leverage quantitative data and qualitative feedback to drive decisions and influence stakeholders without direct authority.
β’ Minimum of 5 years of product management experience, particularly in data, analytics, or BI products.
β’ Practical experience with the Databricks platform and strong collaboration with data engineering teams.
β’ Proven experience in delivering client-facing or embedded analytics within a multi-tenant setting.
β’ Familiarity with AI-powered products, such as conversational analytics, LLM-generated insights, or agentic tools.
β’ Experience in maintaining the accuracy of AI-powered product outputs.
β’ Demonstrated track record of delivering products that achieve measurable business outcomes.
β’ Background in a multi-product or platform organization.
β’ Ability to translate business inquiries into data requirements and convert complex data into easily understandable findings for clients.
β’ Experience in delivering analytics products for enterprise clients operating in regulated or program-driven sectors is highly preferred.
β’ Familiarity with data governance, access controls, and data sharing practices is strongly preferred.
β’ Must possess authorization to work in the country where the position is located without employer sponsorship or support.
β’ Must successfully complete pre-employment checks.
β’ If applicable, must satisfy all DOT qualification standards and adhere to relevant federal, state, and local transportation regulations.
β’ Comprehensive Medical, Dental, and Vision Insurance.
β’ Company-sponsored health care concierge service.
β’ 401(k) plan with company matching contributions.
β’ Paid time off for vacation, sick leave, personal time, and parental leave.
β’ Paid Volunteer Time to support community engagement.
β’ Employee Recognition Program with gift card rewards.
β’ Access to Employee Assistance Program.
β’ Availability of on-demand training courses for professional development.
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