Data Product Manager

***Strengthening and empowering all of the communities we serve.*** **Data Product Manager, Monetization** Advance Local is looking for a Data Product Manager to own the revenue and monetization side of our data product portfolio. Our journalism builds audience, known audiences generate data, and data powers the monetization, products, and insights that fund more journalism. You will sit in the central Data and Innovation hub, on the data engineering team. The data behind these products is already drawing interest from some of the largest names in streaming, content, and global media, and you would help shape what we create with them. This is not a roadmap only role. Staying hands on is essential, whether that means tagging content, standing up search for our internal users, building interfaces in tools like Streamlit, or doing analytics engineering and exploring new data to bring in. Advance Local operates across multiple revenue lines that share an audience and growing first and third party data. You will own how we turn that data into revenue. ## **What you'll be doing** - Own the strategy and roadmap for the data products that generate revenue, and decide what gets built first. - Lead the conversations about how we derive revenue from our audiences across advertising, subscriptions, programmatic, and new audience products, and translate audience and behavioral signal into opportunity. - Package first and third party data into products tailored to specific buyers, including healthcare, financial services, and institutional demand, and work through channels such as the Snowflake Marketplace, clean rooms, and content and signal licensing. - Identify what we know and what we still need to learn about our audiences, and turn those gaps into monetization opportunities rather than leaving them as open questions. - Partner with legal and engineering to keep every external package privacy safe through aggregation and suppression. - Stay hands on by building search and internal interfaces in tools like Streamlit, and doing analytics engineering or bringing in new data yourself when that is the fastest way to move the work forward. - Ability to write, review, and own production quality SQL, Python, and dbt used in the data products and workflows you build. - Build with AI as a core part of the toolkit, including natural language access to data, content classification, and assisted workflows. - Sit with business stakeholders and external partners to understand their pain points, then convert what you hear into clearly scoped requirements the engineering team can deliver. - Lead the team's planning ceremonies, including sprint planning and backlog grooming, and drive prioritization so the highest value work ships first. - Bring discipline to how data product requests come in, so each one has a clear business case and owner before it enters the backlog. - Collaborate with the data engineering and data science teams so the products you ship are reliable, scalable, and aligned with how the platform is built. - Maintain clear documentation for the data products, definitions, and logic you own so the work is transparent and can be extended by others. ## **Our ideal candidate will have the following** - Bachelor's degree in computer science, statistics, economics, information systems, or a related field, or equivalent experience. - Minimum 5 years in a data product, analytics engineering, or analytics role, ideally with a revenue or monetization focus. - Deep proficiency in SQL, Python, and dbt, with comfort working directly in the data. - Experience with Snowflake or an equivalent modern cloud data warehouse, Snowflake strongly preferred. - Comfort building with AI rather than around it, including natural language access to data, content classification, and assisted workflows. - Commercial instinct, an understanding of how data becomes revenue, and the credibility to hold a conversation with an internal executive and an external buyer. - A…