Own and evolve data product roadmap including platforms, pipelines, models, APIs, and dashboards. Define strategy, prioritize features, lead Agile delivery, ensure governance/compliance, track KPIs, enable users, and identify data-driven innovation opportunities.
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.
Compensation, Benefits and Duration
Minimum Compensation: USD 57,000
Maximum Compensation: USD 201,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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