Lead Data & Analytics Product Manager

Rumpke Careers•Cincinnati, OH

About The Position

As a member of the Data and Analytics team, the Lead Data & Analytics Product Manager partners directly with business stakeholders to ensure the team's data products and reporting deliver business value. The role serves as the primary bridge between business stakeholders and technical teams, translating business needs into prioritized work, communicating progress in business terms, and validating that delivered solutions address the right problems. The role also drives prioritization and scheduling for the cross-domain data governance program, collaborating with Senior BI Analysts and Analytics Engineering on implementation. The position partners across lines of business to identify valuable opportunities for data products and reporting, owns the team's backlog and sprint/PI planning, and tracks progress against the data and analytics roadmap. It develops and maintains personas for key data consumers to inform tooling, self-service, and AI-assisted data access. In partnership with team leadership, the role defines success metrics, monitors adoption and business impact, champions adoption, and gathers feedback to refine priorities. This position does not manage employees.

Requirements

Bachelor's degree in Business, Analytics, Information Systems, or a related field.
At least 7 years of experience in product management, business analysis, or a related data/analytics role.
Demonstrated experience partnering directly with business stakeholders to identify priorities and translate them into actionable plans.
Experience partnering with technical teams to translate business needs into technical priorities.
Excellent analytical and problem-solving skills.
Strong planning, multitasking, and organizational skills.
Excellent interpersonal, verbal, and written communication skills.
Ability to build trust and credibility with business stakeholders.
Ability to analyze business problems in detail and translate them into prioritized, valuable work.
Ability to drive alignment and prioritization across multiple stakeholders and competing priorities.
Ability to travel between offices as required.
Ability to work flexible hours, including nights and weekends as needed; overtime, weekends, and/or holidays may be required.
Legally eligible to work in the United States.
Valid driver’s license, if applicable.
Must successfully complete pre-employment testing.
Must be able to read and speak English.

Responsibilities

Partner with business stakeholders across lines of business to understand priorities and identify where data products and reporting can create value.
Evaluate and recommend data products and reports based on business value, balancing impact against technical effort.
Build and maintain trusted stakeholder relationships across all lines of business and advocate for stakeholders in planning and prioritization.
Translate business priorities into clear, prioritized work for Analytics Engineering, Data Engineering, and BI Analysts.
Own prioritization and scheduling of the cross-domain data governance program, collaborating with Senior BI Analysts on consistency across domains and with Analytics Engineering on technical implementation.
Own and manage the team's backlog and sprint/PI planning process, keeping work aligned with business priorities.
Track and communicate progress against the data and analytics roadmap in terms the business understands.
Develop and maintain personas for key business data consumers, including their current data-access and usage habits, to guide decisions about tooling, self-service, and AI-assisted access.
Partner with team leadership to define success metrics and monitor adoption and business impact of data products, self-service tools, and AI-assisted reporting.
Champion adoption across the business and gather ongoing feedback to refine priorities.
Perform other duties as assigned.