Overview
On Site
Depends on Experience
Full Time
Skills
SQL
ETL
POwer BI
Product Management
Data
Job Details
We are seeking for Data Product Manager with our client
Location: New York City, NY, USA
Duration: Full Time
Job Summary: We are seeking a highly skilled senior data product manager to lead the strategy, roadmap, and execution of data products that drive business impact. In this role, you will bridge the gap between data engineering, analytics, and business stakeholders to ensure the delivery of scalable, high-quality data products. You ll define and execute product visions that align with company objectives, enabling data-driven decision-making across the organization.
Description for Internal Candidates |
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.