Job description

Job Posting: Director - Data Management (ERP) • Locations: Cary, NC, New York, NY, or Tampa, FL • Reports to: VP - Data & Analytics • Supervises: About 4-5 people Role Overview We are seeking a technically strong and hands-on Director of Data Management to support the ERP/Finance data solution. 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, scalable Corporate Systems Data hub solution based on Lakehouse architecture. Focused on delivering secure solutions with component reusability, enabling 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. • 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. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at 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. Job Posting: Director - Data Management (ERP) • Locations: Cary, NC, New York, NY, or Tampa, FL • Reports to: VP - Data & Analytics • Supervises: About 4-5 people Role Overview We are seeking a technically strong and hands-on Director of Data Management to support the ERP/Finance data solution. 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, scalable Corporate Systems Data hub solution based on Lakehouse architecture. Focused on delivering secure solutions with component reusability, enabling 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. • 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. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at 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.

Requirements