Technical Data Product Manager

At Forbes Advisor our mission is to help readers make confident decisions about their money health and life. We do this by combining expert journalism with deep product insights and high-performance technology all supported by a data-driven operating model.Were now scaling our internal data products to help drive better decisions across performance marketing product monetization and partner strategy and were looking for a technically strong technical and commercially-minded Product Manager to help lead that evolution.The RoleWere hiring a Technical Product Manager to own and scale our internal Revenue Attribution Pipeline the core data product that determines how revenue is ingested modeled and used across the business.This pipeline is essential to how we understand marketing ROI partner economics and long-term monetization strategies. Youll sit at the intersection of data engineering operations and business stakeholders translating requirements into clear specs driving adoption and shaping the vision for what comes next.This is a remote-first UK-based role with wide influence across the data and growth organization. Youll be embedded within the Data Strategy function and collaborate with teams across Engineering RevOps Paid Media and GM leadership.Key ResponsibilitiesOwn the Product Vision Define and evolve the strategy for our revenue attribution pipeline balancing current needs with future scalability. Maintain a clear roadmap of enhancements technical upgrades and new use cases aligned with business goals. Drive clarity around what good attribution looks like and where it can power better decision-making.Translate Business into Technical Collect and synthesize requirements from RevOps Paid Media and GM teams into actionable product specs. Write clear logic schema documentation and join requirements for data engineers to implement. Own the accuracy usability and interpretability of attribution outputs across stakeholders.Program & Stakeholder Management Coordinate delivery across Engineering Data Ops and RevOps in a matrixed environment. Track implementation progress flag blockers and ensure delivery aligns with sprint timelines. Communicate proactively with business stakeholders about whats changing why and what theyll get.Advocate for Adoption Work with business users to embed attribution into decision workflows from bidding strategies to partner payouts. Provide context documentation and structured demos to increase usage and trust. Identify where adoption gaps exist and iterate to close them.Shape the Future of Attribution Partner with leadership to define next-gen use cases from cross-channel attribution to modelled revenue to audience insights. Contribute to long-term visioning around how attribution evolves in a privacy-constrained ML-augmented world. Explore how new data platforms or frameworks could expand our impact.What Youll BringMust-Have Experience Experience working on attribution revenue modelling or marketing performance data products. Strong fluency in SQL data modelling and business logic you can write detailed specs for engineers but practical implementation not required. Excellent communication skills and stakeholder management instincts. Experience operating in matrixed or cross-functional environments. Ability to balance short-term delivery with long-term product thinking.Nice to Have Experience with GCP (BigQuery Cloud Composer Cloud Functions in particular). Familiarity with marketing data paid media (Google Ads Meta) and RevOps workflows. Exposure to ML use cases (e.g. modelled revenue LTV and attribution). Comfort building diagrams brief documents and supporting light QA or UAT when needed.Why Join Us Work on one of the most business-critical data products in the company. Collaborate with top-tier talent across data marketing and product. Remote-first culture with flexibility and trust. Influence both what we build and how we work shaping attribution for the future. Be part of a mission-driven team that blends journalism technology and strategy.Additional Information : Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.#LI-REMOTE #LI-NM1Remote Work : YesEmployment Type : Full-time Key Skills Time Management,Data Analytics,Analytical,Agile,Requirement Gathering,Strategic thinking,Visio,Communication,Problem Solving,Market Research,UML,Cross Functional Teams Experience: years Vacancy: 1