Group Product Manager, Data Products & Analytics
New
J
JobgetherData & Analytics
Based in the United StatesFull-TimeManager
Salary163,800 - 204,700 USD per year
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Job Details
- Experience
- 10+ years of experience in product management, data products, analytics, data platforms, or related technical product leadership roles; 3+ years of experience leading technical teams
- Required Skills
- PythonSQLProduct ManagementSnowflakeData engineeringData scienceBigQueryDatabricksData analytics
Requirements
- 10+ years of experience in product management, data products, analytics, data platforms, or related technical product leadership roles.
- 3+ years of experience leading technical teams, including data analysts, data engineers, data scientists, or similar profiles.
- Proven experience defining and delivering enterprise data product strategies, roadmaps, and scalable analytics solutions.
- Strong technical foundation in analytics, data engineering, or data science, with professional experience using SQL and Python.
- Experience collaborating with engineering and data science teams to build and launch enterprise-grade data products.
- Ability to participate in architecture and technical design discussions while balancing business goals, customer needs, and technical constraints.
- Hands-on experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies.
- Demonstrated success leading cross-functional initiatives and influencing stakeholders within complex, matrixed organizations.
- Strong executive communication, stakeholder management, prioritization, and business case development skills.
- Excellent leadership abilities with experience coaching teams, motivating others, and building high-performing organizations.
Responsibilities
- Define and own the vision, strategy, and multi-year roadmap for an enterprise data product portfolio, ensuring alignment with business objectives and customer needs.
- Lead product discovery initiatives with business units, marketing teams, sales teams, digital organizations, and enterprise stakeholders to identify high-impact opportunities.
- Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic importance.
- Manage and develop a multidisciplinary team of data analysts, data engineers, and data scientists, establishing clear priorities, goals, and performance expectations.
- Guide the delivery of scalable data products by partnering with technical teams on requirements, solution design, analytics approaches, data pipelines, and AI capabilities.
- Apply strong knowledge of analytics, SQL, Python, data science concepts, and modern data platforms to support effective product decisions.
- Partner with enterprise technology teams to influence architecture, governance, integration, and data quality strategies.
- Drive the development of advanced capabilities such as customer data platforms, Customer 360 solutions, AI-powered insights, personalization, and digital analytics.
- Build strong relationships with senior leaders across product, UX, marketing, business units, and technology teams.
- Translate complex technical concepts into clear business recommendations, product strategies, and executive-level communications.
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