Key Responsibilities

• Vision & Roadmap: Define the product vision, strategic roadmap, and key performance metrics for data and analytics initiatives.
• Requirements Engineering: Partner with business leaders to gather needs and translate them into technical specs, epics, user stories, and acceptance criteria.
• Cross-Functional Execution: Collaborate with Data Engineering, BI, and Data Science teams to deliver robust dashboards, machine learning models, and analytical pipelines.
• Data Governance & Quality: Enforce data quality standards, security, accessibility, and governance best practices across all deliverables.
• Product Adoption & Enablement: Drive change management through stakeholder demos, user training, and continuous feedback loops to maximize adoption.
• Product Optimization: Monitor feature usage, data reliability, and business impact to continuously refine and iterate on delivered products.