MetLife

At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. We’re building the future of data - one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business - you’re empowering it. Let’s transform insight into impact and data into action, together.

The position sits within the Data & Analytics (D&A) organization supporting MetLife’s U.S. Business. MetLife is seeking an experienced Leader to provide strategic leadership and operational ownership for enterprise Master Data Management (MDM).

This role is accountable for the stability, accuracy, and integrity of Global Party Management (GPM), MetLife’s enterprise MDM platform serving all MetLife 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.

Enterprise MDM Platform Leadership (GPM)
* Provide end‑to‑end leadership and accountability for Global Party Management (GPM), MetLife’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.

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 data platforms.
* Support audit readiness through clear lineage, documentation, and control frameworks.

Leadership & Stakeholder Engagement
* Lead and develop cross‑functional teams, including managers and senior technologists across MDM, data engineering, and data quality.
* Serve as a trusted data and technology leader for business, technology, and architecture stakeholders.
* Communicate complex data and platform topics in clear, executive‑ready language.
* Foster a culture of accountability, technical rigor, and continuous improvement.

* Bachelor’s or higher degree in Computer Science, Engineering, or related field.
* 10+ years of progressive experience in enterprise data and analytics, with leadership responsibility for complex data platforms.
* Demonstrated experience leading MDM, data engineering, and data quality teams.

* Strong working knowledge of: 
* Informatica MDM and platform upgrade strategy
* Master data concepts including match & merge, survivorship, and identity resolution
* Azure cloud data platforms and Databricks‑based data processing

* Proven ability to lead high‑availability, production‑grade platforms.
* Strong executive communication and stakeholder management skills.
* Experience operating in regulated financial services environments.

* Experience supporting large‑scale MDM or data platform modernization initiatives.
* Familiarity with Informatica or similar Cloud MDM and native AI/ML‑enabled match and merge capabilities.
* Working knowledge of enterprise analytics and reporting platforms, including the creation and maintenance of standard and ad‑hoc reporting solutions (e.g., Tableau, Power BI).
* Experience operating within modern data ecosystems, including Hadoop‑based platforms, and cloud‑native data processing frameworks.
* Experience leading or governing data platforms built on Microsoft Azure, including Databricks‑based data engineering and analytics environments, within large, regulated enterprises.
* Knowledge of HIPAA and other relevant consumer data regulations.
* Insurance, retirement, or financial services domain experience.

The expected salary range for this position is $142,100 - $212,750. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.