Group Product Manager, Data Products & Analytics – Remote

GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS – REMOTE Job Description Job Alerts Link Job Title: GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS – REMOTE

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

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
• Promote consistent product management practices across TE’s growing data ecosystem

Stakeholder and People Leadership

• Build trusted relationships with senior business unit, segment, Marketing, digital, Product Management, UX, and IT leaders
• Translate complex technical topics into clear recommendations, priorities, and product strategies for executive audiences
• Embed data-driven decision-making into TE’s digital products and customer experiences
• Enable trusted measurement of customer satisfaction, digital engagement, marketing effectiveness, and business performance
• Coach and develop a high-performing team, establishing clear priorities, performance expectations, and development plans

What your background should look like:

• 10+ years of experience in product management, data products, analytics, data platforms, or a related technical product leadership role
• 3+ years of experience leading technical teams that include data analysts, data engineers, data scientists, or similar roles
• Proven experience defining and delivering enterprise data or analytics product strategies and roadmaps
• Strong technical foundation in analytics, data engineering, or data science, including professional experience using SQL and Python
• Experience partnering with engineers and data scientists to deliver scalable data products
• Ability to participate deeply in architecture and design discussions while balancing customer needs, business priorities, and technical feasibility
• Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
• Demonstrated success leading cross-functional work and influencing stakeholders in complex, matrixed organizations
• Strong executive communication, stakeholder management, prioritization, and business-case development skills

Competencies

Managing and Measuring Work Motivating Others Building Effective Teams Values: Integrity, Accountability, Inclusion, Innovation, Teamwork SET : Strategy, Execution, Talent (for managers)

COMPENSATION

• Competitive base salary commensurate with experience: $163,800 – $204,700(subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits

BENEFITS

• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

EOE, Including Disability/Vets

Job Locations:

680 E. Swedesford Road
Suite 100 and 200
Wayne, Pennsylvania 19087
United States

Posting City: Wayne Job Country: United States Travel Required: 10% to 25% Requisition ID: 155916 Workplace Type: Remote External Careers Page: Sales & Marketing

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Tagged as: BigQuery, Data Analysis, Python, Snowflake, SQL