- Posting Location: Cary, North Carolina
- Posting Location: New York, New York
AVP, Head of Enterprise Data Platform Engineering
Location: Cary, NC or NYC (minimum 3-day a week in office hybrid schedule)
To lead the strategic design, development, simplification, modernization and governance of the MetLife's enterprise data platforms and data acquisition/transformation capabilities, ensuring it serves as a robust, scalable, and secure foundation for data-driven decision-making, advanced analytics, AI & agentic initiatives. The role is pivotal in enabling the company's digital transformation by delivering a modern data architecture that supports real-time insights, multi-disciplinary autonomous AI agents, regulatory compliance, and innovation across all business units.
Key functions:
Qualifications:
•Strategic Thinking & Vision Ability to align data platform strategy with business goals, platform-based architecture, data estate modernization and digital transformation initiatives for AI enablement.
•Technical Expertise Deep knowledge of cloud-native data platforms (Azure Cloud Platform), data lake houses (Databricks or similar), data mesh, and data acquisition tools(CDC, Streaming, batch). Hands-on-keyboard experience with Python, PySpark and other data processing/transformation software is highly recommended.•Leadership & Influence Proven experience in leading cross-functional teams and influencing senior stakeholders.
•Data Governance & Security Good understanding of data privacy regulations, data quality frameworks, and security best practices.•Program & Change Management Expertise in managing large-scale data platform programs and driving organizational change.
•Collaboration & Communication Excellent interpersonal and communication skills to work across business, IT, and regulatory functions.•TCO & Operational Efficiency Mindset Proven track record in optimizing TCO for data estate with FINOPS implementation and tooling simplification strategies and execution.
•Educational background B.S. in Computer Science or equivalent 4 years of Bachelor's degree
•Work Experience 12-15+ years of data engineering and 3-5+ years in cloud native data modernization experience is recommended.
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!