Lead Data & Analytics Product Manager

Rumpke Waste & Recycling•Colerain Township, OH

About The Position

As a member of Rumpke’s Data and Analytics team, the Lead Data & Analytics Product Manager partners directly with the business to ensure 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 solutions address the right problems. It also drives prioritization and scheduling for the cross-domain data governance program, working with Senior BI Analysts and Analytics Engineering on implementation. This position does not manage employees. The role requires a bachelor’s degree in Business, Analytics, Information Systems, or a related field and at least seven years of experience in product management, business analysis, or a related data and analytics role. The employee must be legally eligible to work in the United States, able to read and speak English, and able to travel between offices as required. A valid driver’s license is required if applicable, and pre-employment testing must be completed successfully. The work is performed inside. Physical activities include frequent sitting, occasional standing and walking, occasional stooping, kneeling, crouching, or crawling, frequently lifting or carrying up to 10 pounds and rarely up to 35 pounds, and rarely pushing or pulling up to 35 pounds. Flexible hours are required, with nights, weekends, overtime, and/or holidays as needed.

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.
Legally eligible to work in the United States.
Able to read and speak English.
Able to travel between offices as required.
Valid driver’s license, if applicable.
Must successfully complete pre-employment testing.

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 by balancing business impact against technical effort.
Build and maintain trusted stakeholder relationships and represent stakeholder needs 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 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 business stakeholders understand.
Develop and maintain personas for key data consumers, including understanding how they access and use data, to guide decisions about tooling, self-service, and AI-assisted access to data products.
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, gather ongoing feedback, and use it to refine priorities.
Perform other duties as assigned.