Data Product Manager Finance Tech

Data Product Manager – Finance Tech (Contract) Location : San Diego or Remote (U.S.-based, US Citizen or Green Card holder) Duration : 12 months with potential to extend (We are unable to partner with any third parties) Overview Come join a Finance, Legal and Privacy (FLP) Tech team in the CTREC organization as a Data Product Manager focused on supporting enterprise-scale finance data initiatives. The FLP Tech team is executing on a multi-year roadmap to modernize forecasting, streamline financial reporting, and enable AI-driven insights. We're seeking a customer-obsessed, data-savvy product manager to support delivery across key data programs in FY26. This is a contract role ideal for someone who blends strong analytical skills with product intuition and is energized by driving clarity across complex, cross-functional efforts. What You’ll Do Partner with product and engineering teams to define and document requirements for initiatives such as data governance, semantic layer development, and natural language querying (NLQ). Conduct user research (FMHs, interviews) to uncover internal finance user journeys, identify pain points, and translate insights into roadmap priorities and product direction. Support delivery execution for cross-functional projects, including the scaling of forecasting transformation and AI-powered reporting capabilities. Translate finance business needs into clear product artifacts (problem statements, user stories, success metrics) that guide engineering and design teams. Drive adoption of self‑serve and AI‑first capabilities by shaping intuitive experiences grounded in standardized finance data Collaborate across teams, including Finance Ops, Data Engineering, and AI/ML partners to ensure consistent understanding of data assets and intended use. What You’ll Bring 3–5 years of experience in product management, data analytics, or related roles Solid SQL proficiency and experience working with enterprise data models Experience with dashboarding or reporting tools (e.g., Tableau, Power BI, Looker) Exceptional verbal communication skills; able to drive alignment across technical and non‑technical audiences Proven ability to support cross‑functional teams in ambiguous or fast‑moving environments A customer‑first mindset and a strong bias toward execution Nice to Have Familiarity with finance data concepts or prior experience supporting Finance and FP&A teams Experience with AI/ML‑driven analytics and semantic layer architecture Exposure to enterprise data platforms (e.g., Snowflake, Superglue, Databricks, Qlik) #J-18808-Ljbffr Creative Solutions Services, LLC