SR MGR Data Science

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 Overview

TE Connectivity Ltd. is a $14.9 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 7,500 engineers, working alongside customers in approximately 150 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com

Key Responsibilities:

The Senior Manager of Supply Chain Analytics & Digital Transformation will lead the Business Unit's digital, analytics, AI, and automation agenda. This role is responsible for identifying, evaluating, and scaling technologies that improve supply chain performance, productivity, cost competitiveness, resilience, and customer service.

The successful candidate will act as a bridge between Supply Chain, Operations, IT, Corporate Functions, external technology partners, and startups to accelerate innovation and build sustainable organizational capabilities. This role combines strategy, analytics, program management, and change leadership to deliver measurable business value.

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Key Responsibilities

Digital & Analytics Strategy

• Develop and execute the BU Supply Chain Analytics and Digital Transformation roadmap.
• Identify high-impact opportunities across planning, procurement, logistics, manufacturing, inventory, and customer fulfillment.
• Establish a data-driven culture across Supply Chain functions.
• Define business cases, ROI targets, and value realization plans for digital initiatives.
  
  

Analytics & Insights

• Build advanced analytics capabilities to improve decision-making.
• Develop KPI frameworks, Executive dashboards, control towers, and predictive analytics solutions.
• Utilize AI, Machine Learning, optimization, and simulation techniques to improve supply chain performance.
• Translate complex data into actionable business insights for senior leadership.
  
  

Technology Scouting & Innovation

• Evaluate emerging technologies including:
• Artificial Intelligence
• Agentic AI
• Supply Chain Control Towers
• Digital Twins
• Process Mining
• Automation / RPA
• Predictive Analytics
• GenAI Applications
• Build relationships with startups, technology vendors, universities, and innovation ecosystems.
• Pilot and scale innovative solutions with clear business outcomes.
  
  

Program & Project Leadership

• Manage a portfolio of multiple transformation initiatives simultaneously.
• Lead cross-functional teams across:
• Supply Chain
• Procurement
• Manufacturing
• Finance
• IT
• Commercial organizations
• Ensure projects are delivered on time, on budget, and achieve targeted business benefits.
• Establish governance, milestone tracking, risk management, and executive communications.
  
  

Capability Building

• Create and scale digital capabilities across the Supply Chain organization.
• Develop training programs and adoption plans.
• Build communities of practice around analytics, AI, automation, and data-driven decision making.
• Coach business teams on analytics and digital tool usage.
  
  

Stakeholder Management

• Partner with BU leadership teams and corporate functions.
• Align priorities across business units and enterprise transformation initiatives.
• Influence senior stakeholders without direct authority.
• Manage external partners and startup collaborations.
  
  

Value Delivery

Own Measurable Business Outcomes Including:

• Cost reduction
• Productivity improvement
• Service level enhancement
• Inventory optimization
• Lead-time reduction
• Planning accuracy improvement
• Supply chain resilience improvement
• Working capital improvement
  
  

Mandate Skills:

Education

• Bachelor's degree in Engineering, Supply Chain, Operations Research, Computer Science, Analytics, or related field.
• MBA preferred.
  
  

Experience

• 8–15 years of experience in Supply Chain, Analytics, Consulting, Digital Transformation, or Operations Excellence.
• Proven experience leading large cross-functional transformation programs.
• Demonstrated success delivering measurable business value through technology and analytics.
• Experience working with startups, external technology providers, and enterprise platforms.
  
  

Technical Skills

Strong understanding of:

• Supply Chain Planning
• Procurement
• Logistics
• Manufacturing Operations
• Data Analytics
• AI/ML
• SQL
• Python
• Power BI / Tableau
• Power Platform
• Cloud Platforms (Azure, AWS, GCP)
• Process Mining Tools
• Optimization & Simulation
  
  

Leadership Competencies

• Strategic thinker
• Strong executive presence
• Influencing skills
• Excellent communication skills
• Project portfolio management
• High learning agility
• Entrepreneurial mindset
• Bias for action
• Ability to manage ambiguity