GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS - TE Connectivity

The Group Product Manager, Data and Analytics leads the Digital COE’s Data Products Team and owns the strategy, roadmap, and delivery of TE’s enterprise data product portfolio. This role transforms customer, marketing, and digital data into scalable products that improve decision-making, customer experiences, and TE’s digital ecosystem.

Reporting to the Director, Digital & Data Product Management & UX, this leader manages a multidisciplinary team of data analysts, data engineers, and data scientists. The role partners closely with Product Management, UX, Marketing, business units, enterprise IT, and data platform teams to deliver trusted, actionable data products.

The portfolio includes WAVE, TE’s enterprise Customer Intelligence platform, as well as customer data capabilities, digital and marketing analytics, customer experience measurement, and future capabilities such as Customer Data Platforms, Customer 360, AI-powered insights, and personalization.

The ideal candidate combines strong product and people leadership with hands-on technical experience in analytics, data engineering, or data science and a proven ability to translate business strategy into measurable enterprise data products.

Key Responsibilities

Product Strategy and Portfolio Leadership

• Define and own the vision, strategy, and multi-year roadmap for TE’s enterprise data product portfolio
• Lead discovery with business units, Marketing, Sales, digital teams, and enterprise stakeholders to identify high-value opportunities
• Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic alignment
• Simplify and consolidate existing products where possible before investing in new capabilities

Product Delivery and Technical Leadership

• Lead and develop a multidisciplinary team of data analysts, data engineers, and data scientists
• Set priorities and allocate resources across multiple products and initiatives to maximize business value
• Partner with the team to define requirements, evaluate analytical approaches, review solution designs, and guide decisions involving data pipelines, models, cloud platforms, analytics, and AI
• Apply hands-on knowledge of SQL, Python, analytics, and data science concepts to support high-quality delivery

Enterprise Data and Platform Strategy

• Partner with enterprise IT and platform teams to shape scalable architecture, governance, integration, and data quality strategies
• Represent customer, marketing, and digital priorities within broader enterprise data investments
• Drive strategy for capabilities such as CDPs, Customer 360, advanced analytics, AI-powered insights, and personalization
• Identify emerging technologies that can improve customer experiences, marketing effectiveness, and business decision-making