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Director, Data & Analytics – MDM, RIS & MLH

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: MetLife
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Role Value Proposition

The position sits within the Data & Analytics (D&A) organization supporting Met Life’s U.S. Business. Met Life is seeking an experienced Leader to provide strategic leadership and operational ownership for enterprise Master Data Management (MDM) and critical data platforms supporting Retirement & Income Solutions (RIS) and Met Life Holdings (MLH). This role is accountable for the stability, accuracy, and integrity of Global Party Management (GPM), Met Life’s enterprise MDM platform serving all Met Life products, while shaping and governing Azure cloud data engineering and Databricks enablement for enterprise data assets.

The Leader partners with architecture and platform teams to ensure secure‑by‑design, scalable integration patterns and sustainable operational performance across MDM and product‑aligned data platforms. The role balances run‑the‑business excellence with modernization readiness, partnering closely with enterprise transformation initiatives to influence future‑state architecture and capabilities. This is a leadership position with strong technical expectations; while not an individual contributor, the Leader brings deep working knowledge of MDM, data engineering, cloud data platforms, and Databricks‑based processing to enable informed decision‑making, architectural oversight, and credibility with senior engineers and architects.

Key Responsibilities Enterprise MDM Platform Leadership (GPM)
  • Provide end‑to‑end leadership and accountability for Global Party Management (GPM), Met Life’s enterprise MDM platform supporting all lines of business.
  • Ensure platform stability, availability, performance, and data integrity for mission‑critical business and regulatory processes.
  • Establish and enforce operational rigor, including SLAs, incident management, root‑cause analysis, and resiliency standards.
  • Own technology currency and upgrade strategy, including Informatica 10.5 readiness and forward roadmap, in partnership with vendors and enterprise technology teams.
Master Data Engineering & Identity Resolution Leadership
  • Set strategic direction and provide oversight for mastering logic, including match, merge, survivorship, identity resolution, and hierarchy management.
  • Ensure leadership teams maintain deep understanding of end‑to‑end data flows spanning:
    Source systems of record (SORs), Third‑party data providers, Ingestion pipelines, MDM mastering layers, APIs and cloud‑based analytical consumers.
  • Drive initiatives to reduce external mastering dependencies through adoption of native MDM and AI‑assisted match & merge capabilities.
  • Ensure mastering decisions are consistent, explainable, and aligned with business, risk, and compliance requirements.
RIS & MLH Data Leadership
  • Provide senior data leadership for RIS and MLH.
  • Ensure data accuracy, consistency, and confidence across platforms supporting RIS financial reporting, analytics, regulatory, and operational use cases.
  • Partner with RIS and MLH business and technology leaders to resolve data issues impacting product performance, analytics, and decision‑making.
  • Ensure strong integration and alignment between enterprise MDM (GPM) and product‑aligned data platforms.
Cloud Data Platform Oversight (Azure & Databricks)
  • Provide leadership oversight for cloud data engineering platforms operating on Microsoft Azure, including Databricks‑based data processing and analytics.
  • Establish governance and engineering standards to ensure secure, scalable, and cost‑effective cloud data pipelines and products.
  • Partner with architecture, platform, and security teams to ensure consistent integration patterns across MDM, RIS, and MLH data ecosystems.
  • Maintain sufficient technical depth to review designs, guide architectural decisions, and challenge implementation approaches when required.
Data Governance, Quality & Compliance
  • Partner with governance and stewardship teams to ensure data quality controls are embedded upstream and enforced consistently.
  • Define and track data quality, accuracy, and confidence metrics across mastered and analytical datasets.
  • Ensure compliance with privacy, security, and regulatory requirements across MDM and RIS, MLH data platforms.
  • Supp…
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