Senior Analytics Manager

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October 15

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TE Connectivity

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Aerospace • Energy • Automotive

TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With customers in over 140 countries across 20 industries, you can touch billions of lives and ignite a transformative spark through your work.

10,000+ employees

🚀 Aerospace

⚡ Energy

💰 Post-IPO Debt on 2023-01

📋 Description

• Partner with leaders to identify high-value analytics, data science, and AI opportunities • Prioritize data-driven use cases aligned with business goals and solutions • Establish a demand management framework to connect BU needs with data capabilities, delivering $$ value targets • Drive adoption of the One Data Platform by aligning with business requirements and delivering value-driven solutions • Act as a strategic advisor on data integration and self-service analytics • Collaborate to retire legacy data platforms and transition to modern solutions • Track KPIs for legacy system decommissioning and ensure smooth data migrations • Lead Data & AI Literacy initiatives to ensure confidence in using data for decision-making • Execute a training strategy for self-service analytics and data-driven decisions • Foster a data culture by promoting awareness, best practices, and success stories

🎯 Requirements

• 5+ years in data analytics leadership • strong AI adoption • Ability to convert business needs into data strategies with measurable impact • Deep knowledge of enterprise data platforms, AI/ML, and cloud architectures • Skilled in engaging and influencing executives and teams • Proven in driving organizational change and data literacy • Experience in data governance and compliance • Preferred: manufacturing experience, operations, supply chain, and knowledge of modern data architectures (Databricks, Snowflake, Azure, AWS, GCP) • Strong grasp of AI ethics and data privacy

🏖️ Benefits

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