• Head of Enterprise Data Platform Eng

    MetLife (New York, NY)


    The Team You Will Join:

    This is part of the senior leadership role within MetLife's Data and Analytics organization. This role will directly report to the Head of Enterprise Data Engineering and will be working closely with the regional Chief data and Analytics officers and Senior Business leaders to assist them with their data engineering vision and challenges.

    The Opportunity:

    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.

    Equal Employment Opportunity/Disability/Veterans

    If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

     

    MetLife maintains a drug-free workplace.