Job OverviewThe Data Product Manager is responsible for leading a team of Data Product Developers and overseeing the day-to-day delivery of standard data products and business-facing analytical outputs. This role translates business priorities into team execution, manages workload and delivery expectations, and ensures outputs meet enterprise standards for accuracy, consistency, and usability.
Duties & Responsibilities- Lead, coach, and performance manage Data Product Developers to ensure effective execution, development, and accountability across the Data Product Developer I and II levels
- Prioritize, assign, and oversee day-to-day delivery of standard data products, dashboards, reports, and recurring analytical outputs
- Partner with business stakeholders and leadership to align work intake, priorities, and delivery expectations to business needs
- Monitor delivery quality, remove blockers, and ensure outputs align to enterprise standards, approved logic, and support expectations
- Support continuous improvement of team processes, delivery methods, and role development across the Data Product Developer family
- Other duties as assigned
Knowledge, Skills, & Abilities- Experience leading or supervising teams responsible for reporting, analytics, or data product delivery
- Strong understanding of dashboards, reporting, data products, and business-facing analytical output delivery
- Ability to prioritize work, balance team capacity, and manage delivery against business demand
- Experience coaching, developing, and performance managing individual contributors
- Ability to translate business priorities into clear work direction and execution plans
- Strong communication and stakeholder management skills
- Understanding of enterprise data standards, delivery processes, and support expectations
- Ability to identify delivery risks, remove blockers, and improve team effectiveness
Minimum Qualifications- Bachelor's degree (4 years)
- 5 to up to 7 years of relevant work experience
Preferred QualificationsBachelor's degree in Business Analytics, Information Systems, Computer Science, Data Analytics, Business Administration, or a related field is preferred.
Work EnvironmentOffice Environment
