Position: Group Product Manager, Data Products & Analytics based in the United States.
Overview:
Lead the evolution of enterprise data capabilities by shaping a portfolio of data products that turn complex information into actionable business insights. Define the vision, multi-year roadmap, and delivery of data products that enhance customer experiences and enable data-driven decision-making. Manage a multidisciplinary team of data analysts, data engineers, and data scientists, and collaborate with product, technology, marketing, and business leaders across the organization.
Responsibilities
Own the product strategy and multi-year roadmap for the enterprise data product portfolio, aligning with business objectives and customer needs.
Lead product discovery with business units, marketing, sales, digital teams, and stakeholders to identify high-impact opportunities.
Position: Group Product Manager, Data Products & Analytics based in the United States.
Overview:
Lead the evolution of enterprise data capabilities by shaping a portfolio of data products that turn complex information into actionable business insights. Define the vision, multi-year roadmap, and delivery of data products that enhance customer experiences and enable data-driven decision-making. Manage a multidisciplinary team of data analysts, data engineers, and data scientists, and collaborate with product, technology, marketing, and business leaders across the organization.
Responsibilities
Own the product strategy and multi-year roadmap for the enterprise data product portfolio, aligning with business objectives and customer needs.
Lead product discovery with business units, marketing, sales, digital teams, and stakeholders to identify high-impact opportunities.
Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic importance.
Guide the delivery of scalable data products by partnering with engineering on requirements, architecture, data pipelines, and AI capabilities.
Apply analytics, SQL, Python, and data science concepts to inform product decisions.
Develop capabilities such as customer data platforms, Customer 360, AI-powered insights, personalization, and digital analytics.
Build relationships with senior leaders across product, UX, marketing, business units, and technology.
Translate complex technical concepts into clear business recommendations and executive communications.
Establish standardized
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