Data Product Manager

Product Strategy and Vision: Develop and communicate a clear product vision and strategy for data products aligned with company objectives. Define product goals success metrics and key performance indicators (KPIs).

Stakeholder Management: Collaborate with business stakeholders to understand data needs challenges and opportunities. Translate business requirements into actionable product roadmaps.

Data Product Development: Oversee the end-to-end lifecycle of data product development including ideation requirements gathering design execution testing and launch.

Cross-Functional Collaboration: Work closely with engineering data science and analytics teams to ensure timely delivery of data solutions that meet business needs. Ensure technical feasibility and alignment with data infrastructure.

Data Quality and Integrity: Ensure that the data products meet high standards of quality consistency and reliability. Work with technical teams to address data quality issues and implement best practices.

Customer-Centric Approach: Understand and anticipate the needs of both internal and external users of data products. Ensure that the product design and functionality enhance the user experience.

Continuous Improvement: Monitor product performance and feedback to iterate and enhance data products. Use insights and analytics to drive data product enhancements and optimizations.

Documentation and Reporting : Maintain comprehensive product documentation and provide regular updates to leadership on product status performance and impact