Data Product Manager Jobs

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Data Product Manager

Best Version Media•Goerke's Corners, WI
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About The Position

Best Version Media was founded in 2007 and now serves over 1,300 communities across the U.S. and Canada. We connect local businesses to customers with a suite of innovative print and digital solutions. Our print magazines, powered by our advertisers and readers, are tailored to the communities we serve by showcasing local families, nonprofits, events, and more. Our digital advertising works with our print campaigns to build brand awareness and help businesses expand their online reach with local customers. We also offer convenient tools to help businesses manage their online presence and enhance searchability. Our vision is to unite the hearts and minds of communities – one person, one home, one business at a time. We value family, teamwork, and an open exchange of ideas as we strive to become the best versions of ourselves. Our award-winning culture has been recognized countless times by organizations like Fortune, Glassdoor, Great Place to Work, and more. Are you a structured problem solver who loves connecting business strategy, data capabilities, and operational processes to drive real business impact? We are looking for a strategic, analytical, and execution-minded Data Product Manager to turn fragmented workflows and raw reporting requests into scalable, high-impact data products. In this role, you won’t just build dashboards—you will help redesign business workflows, untangle legacy reporting, and bridge the gap between business problems and the modern data solutions needed to solve them. Partnering closely with leaders, analysts, and cross-functional catalysts across approximately 1,400 locations, you will own the end-to-end data product lifecycle—from discovery and roadmap planning to adoption and success measurement. If you are a builder who thrives on turning ambiguous business challenges into clear, governed, and actionable data solutions, we want to talk to you.

Requirements

  • Bachelor’s degree in Business, Analytics, Information Systems, Product Management, Operations, Data Science, or a related field (or equivalent experience).
  • 4+ years of progressive experience in analytics, data product management, business intelligence, or operational process improvement.
  • Proven track record gathering business requirements, mapping workflows, and translating ambiguous business problems into clear product roadmaps.
  • Strong background supporting dashboards, KPI frameworks, analytics workflows, or operational reporting products.
  • Exceptional cross-functional communication skills with the ability to explain technical tradeoffs and requirements to non-technical stakeholders.

Nice To Haves

  • Master’s degree in Analytics, Information Systems, Business, or Data Science.
  • Experience in media, publishing, advertising, multi-location operations, or franchise-style business models.
  • Experience supporting both print and digital product lines, including advertising revenue, campaign performance, or local market economics.
  • Proven success helping organizations modernize analytics operating models, transition from fragmented reporting to governed systems, and drive change management/adoption.
  • Hands-on familiarity with modern BI tools, marketing/CRM platforms, project management tools like monday.com, and basic data exploration methods.

Responsibilities

  • Lead discovery with stakeholders to deeply understand business problems, map current-state workflows, and distinguish truly necessary metrics from legacy or courtesy reporting before automating.
  • Translate ambiguous business needs into prioritized roadmaps, user stories, clear requirements, and implementation plans that balance enterprise goals with available capacity.
  • Coordinate the end-to-end delivery of dashboards, analytics workflows, metrics, and reporting tools from initial concept through release, change management, and iteration.
  • Partner closely with Sales, Marketing, Operations, Finance, Product, and IS teams to align on priorities, communicate tradeoffs, and set realistic release expectations.
  • Collaborate with the data governance council to clarify KPI definitions and ownership while helping business teams adopt data products to improve decision-making and performance accountability.
  • Define key decision outcomes, adoption measures, and feedback loops to ensure every data product delivers measurable ROI and reduces manual overhead.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

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Based on current job postings on Teal, the average Data Product Manager salary in the US is approximately $160,000 per year, with a typical range of $101,000 to $248,000.

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