MetLife
Role Overview
We are seeking a technically strong and hands-on Director of Data Management to support the ERP/Finance data solution. The person will lead the design and delivery of scalable, reusable, and trustworthy data solutions for Data and Analytics to support our Corporate Functions stakeholders. This role will focus on data architecture, a scalable Corporate Systems Data hub solution based on Lakehouse architecture, delivering secure solutions with component reusability to enable high-performance analytics and AI capabilities. The ideal candidate will bring deep technical expertise, stakeholder engagement, strategic vision, and a collaborative mindset to drive business transformation through data. Key Responsibilities
Architect and Deliver Scalable Data Solutions. Design and implement Lakehouse architecture using modern cloud-native technologies. Lead development of reusable data components, frameworks, and pipelines for Corporate Data hub consumption. Evaluate current state infrastructure and recommend future-state data architecture aligned with business goals. Provide deep technical leadership to teams and peers. Provide hands-on guidance in building data layers, ETL/ELT pipelines, and data stores (e.g., data lakes, marts, mesh). Ensure performance optimization, reliability, and maintainability of data solutions. Strong understanding of data governance practices and setting it up for Finance Management Group. Partner with business, operations, and technology teams to co-create data solutions that drive measurable impact. Align data architecture with enterprise governance, privacy, and compliance standards (e.g., HIPAA). Lead and mentor a high-performing team of data professionals. Foster a culture of innovation, experimentation, and continuous learning. Institutionalize best practices in data engineering and architecture. Contribute to research and experimentation efforts, including hackathons and prototypes. Required Skills
8 - 10+ years' experience building data solutions development, data architecture, and engineering. 8+ years leading people/projects. 8+ years' experience building analytic solutions. Proven track record of delivering enterprise-grade data platforms and solutions. Education: Bachelor’s, or master’s degree in computer science, Information Technology, or related field. Experience with most of the following: Azure Cloud/AWS, Databricks, Azure Data Factory/Glue/Firehose, SQL, Delta Lake, Spark (Scala/Python), Synapse, Cosmos DB, PowerBI, or Alteryx. Expertise in scalable data architecture, knowledge of Lakehouse architecture, and other modern data stores. Strong understanding of data governance, Agile methodologies, and DevOps pipelines. Preferred Skills
Understanding of the Reinsurance space. Technical experience with Collibra and Attacama. Ability to implement descriptive, predictive, and prescriptive analytics. Experience in insurance or financial services. Familiarity with GenAI, LLMs, and AI integration in data platforms. Compensation and Benefits
The expected salary range for this position is $130,000 - $185,700. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more! About MetLife
MetLife is a leading financial services company providing insurance, annuities, employee benefits and asset management to individual and institutional customers, with operations in more than 40 markets. Our purpose is to help colleagues, customers, communities, and the world create a more confident future. We’re guided by empathy and #AllTogetherPossible. Equal Opportunity Employer
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (though applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable law. If you need an accommodation due to a disability, please email accommodations@metlife.com. 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. Locations
Cary, NC; New York, NY; Tampa, FL
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We are seeking a technically strong and hands-on Director of Data Management to support the ERP/Finance data solution. The person will lead the design and delivery of scalable, reusable, and trustworthy data solutions for Data and Analytics to support our Corporate Functions stakeholders. This role will focus on data architecture, a scalable Corporate Systems Data hub solution based on Lakehouse architecture, delivering secure solutions with component reusability to enable high-performance analytics and AI capabilities. The ideal candidate will bring deep technical expertise, stakeholder engagement, strategic vision, and a collaborative mindset to drive business transformation through data. Key Responsibilities
Architect and Deliver Scalable Data Solutions. Design and implement Lakehouse architecture using modern cloud-native technologies. Lead development of reusable data components, frameworks, and pipelines for Corporate Data hub consumption. Evaluate current state infrastructure and recommend future-state data architecture aligned with business goals. Provide deep technical leadership to teams and peers. Provide hands-on guidance in building data layers, ETL/ELT pipelines, and data stores (e.g., data lakes, marts, mesh). Ensure performance optimization, reliability, and maintainability of data solutions. Strong understanding of data governance practices and setting it up for Finance Management Group. Partner with business, operations, and technology teams to co-create data solutions that drive measurable impact. Align data architecture with enterprise governance, privacy, and compliance standards (e.g., HIPAA). Lead and mentor a high-performing team of data professionals. Foster a culture of innovation, experimentation, and continuous learning. Institutionalize best practices in data engineering and architecture. Contribute to research and experimentation efforts, including hackathons and prototypes. Required Skills
8 - 10+ years' experience building data solutions development, data architecture, and engineering. 8+ years leading people/projects. 8+ years' experience building analytic solutions. Proven track record of delivering enterprise-grade data platforms and solutions. Education: Bachelor’s, or master’s degree in computer science, Information Technology, or related field. Experience with most of the following: Azure Cloud/AWS, Databricks, Azure Data Factory/Glue/Firehose, SQL, Delta Lake, Spark (Scala/Python), Synapse, Cosmos DB, PowerBI, or Alteryx. Expertise in scalable data architecture, knowledge of Lakehouse architecture, and other modern data stores. Strong understanding of data governance, Agile methodologies, and DevOps pipelines. Preferred Skills
Understanding of the Reinsurance space. Technical experience with Collibra and Attacama. Ability to implement descriptive, predictive, and prescriptive analytics. Experience in insurance or financial services. Familiarity with GenAI, LLMs, and AI integration in data platforms. Compensation and Benefits
The expected salary range for this position is $130,000 - $185,700. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more! About MetLife
MetLife is a leading financial services company providing insurance, annuities, employee benefits and asset management to individual and institutional customers, with operations in more than 40 markets. Our purpose is to help colleagues, customers, communities, and the world create a more confident future. We’re guided by empathy and #AllTogetherPossible. Equal Opportunity Employer
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (though applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable law. If you need an accommodation due to a disability, please email accommodations@metlife.com. 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. Locations
Cary, NC; New York, NY; Tampa, FL
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