Product Vision and Strategy:
• Develop and communicate a clear vision and strategy for data products, aligning with business goals and objectives.
Product Roadmap and Planning:
• Create and maintain a detailed product roadmap, outlining the development journey and key milestones.
• Define key performance indicators (KPIs) to measure the success of data products.
Stakeholder Management:
• Act as a bridge between data teams, stakeholders, and end-users, translating complex data concepts into actionable insights.
• Collaborate with cross-functional teams to gather feedback and ensure data products meet stakeholder requirements.
Backlog Management:
• Create, maintain, and prioritize the product backlog, ensuring that the most valuable features are delivered first.
Cross-Functional Collaboration:
• Work closely with data engineers, data analysts, and other cross-functional teams to ensure successful product development and delivery.
Project Planning:
• Oversee project planning, resource allocation, and timeline management to ensure timely delivery of high-quality data products.
Quality Assurance:
• Ensure that data products meet quality standards and are delivered within budget.
Market Analysis:
• Conduct market research and competitive analysis to identify opportunities for innovation and improvement.
User Feedback:
• Gather and analyze user feedback to continuously improve data products and enhance user experience. Focus on the user experience, ensuring data products are intuitive and meet user needs
Data Governance:
• Ensure that data used within the data products is clean, secure, and adheres to company-wide governance policies Ensure data products comply with accepted standards and data governance rules. Provide detailed metadata descriptions and ensure data quality and integrity.
Data Literacy and Training:
• Promote data literacy within the organization, providing training and support to stakeholders.
• Foster a culture of data-driven decision-making
