Senior Data Product Manager

Key Responsibilities:

• Product Ownership: Own and evolve the data product roadmap, including data platforms, pipelines, models, APIs, dashboards, and other analytical tools.
• Strategy & Vision: Define the strategic direction for data products in collaboration with leadership and cross-functional teams.
• Stakeholder Collaboration: Work with business, engineering, analytics, and operations teams to gather requirements and translate them into actionable product plans.
• Data Governance: Ensure products adhere to data governance, privacy, security, and compliance standards (e.g., GDPR, CCPA).
• Execution & Delivery: Prioritize product features, create user stories, and lead agile ceremonies (e.g., sprint planning, retrospectives).
• Analytics & KPIs: Define and track key success metrics for data product usage, quality, and performance.
• User Enablement: Drive adoption by ensuring data products are well-documented, accessible, and easy to use.
• Innovation: Identify new opportunities for leveraging data to solve business problems or create competitive advantages.

Requirements:

• Experience: 10+ years in product management, with at least 5 years focused on data products.
• Technical Proficiency: Familiarity with data technologies such as SQL, data warehouses (Snowflake, Redshift, Big Query), ETL/ELT tools, APIs, and BI platforms (Tableau, Looker, Power BI).
• Analytical Skills: Strong analytical and problem-solving skills; ability to make data-driven decisions.
• Communication: Excellent verbal and written communication skills; capable of translating technical concepts to non-technical audiences.
• Agile Methodologies: Experience working in Agile/Scrum environments.
• Domain Knowledge: Understanding of data governance, data quality, metadata management, and data security best practices.
• Education: Bachelor s degree in computer science, data science, business, or a related field. A master s degree or MBA is a plus.