• Assist with crafting compelling strategy briefs, business cases, and product roadmaps to justify investments in analytics platforms, data products, and insight capabilities aligned with BigFuture’s divisional goals. • Lead the full analytics product lifecycle—from ideation and development of new datasets, dashboards, and analytical tools to enhancements and responsible sunsetting of legacy reports and pipelines. • Identify and validate stakeholder needs and analytical opportunities through data exploration, user research, and usage analytics; ensure business and analyst needs are integrated into solution design. • Partner with business stakeholders, data analysts, and data scientists to translate key questions into analytics requirements, metrics definitions, and success criteria. • Collaborate with cross-functional teams to refine the analytics roadmap in response to evolving business priorities, data maturity, and platform capabilities. • Clearly communicate analytics product strategy, roadmap, and insights across teams to drive alignment and informed decision-making. • Partner with cross-functional teams to support analytics launches through training, enablement materials, documentation, and adoption strategies. • Maintain strong domain knowledge while serving as a subject matter expert on BigFuture’s analytics capabilities, data assets, and measurement strategy. • Break down analytics initiatives into clear user stories and requirements—such as datasets, metrics, dashboards, and self-service tools—with well-defined acceptance criteria. • Partner closely with data engineering and technology teams to design and deliver scalable analytics solutions, including ETL pipelines, data models, and semantic layers. • Support and enable business analysts and data analysts by ensuring analytics tools, datasets, and documentation meet their needs for efficient insight generation. • Maintain a prioritized backlog of analytics work, balancing business value, technical complexity, data quality, and strategic objectives. • Drive delivery through active participation in Agile ceremonies—refinement, sprint planning, stand-ups, demos, and retrospectives—fostering continuous improvement and alignment. • Monitor analytics initiatives to identify risks related to data quality, performance, or adoption, and proactively resolve blockers. • Coordinate complex technical, legal, and data dependencies across teams to ensure reliable and compliant analytics delivery. • Continuously evaluate analytics product performance through usage data, feedback, and outcome metrics to ensure insights drive measurable impact.