MetLife

SVP, Head of Enterprise Data Engineering

Location: Cary, North Carolina highly preferred 

Setting: Hybrid

Reports to: SVP Chief Data Officer

MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to individual and institutional customers. We’re united by our purpose to help our customers and each other create a confident future; we’re guided by empathy; and we’re inspired by each other to make a difference in the lives of our coworkers, customers, communities, and the world at large. At MetLife, it’s #AllTogetherPossible.  Join us!

The Opportunity 

As the Senior Vice President of Enterprise Data Engineering, you will play a pivotal role in transforming our global data management landscape. This role is responsible for developing and executing the company’s data engineering vision, ensuring that data infrastructure, architecture, and platforms support business growth, innovation, and digital transformation. Your expertise in data, analytics, and technology will be instrumental in ensuring that they remain competitive, secure, and adaptable in rapidly evolving business landscape.

How You’ll Help Us Build a Confident Future (Key Responsibilities)

• Define and execute the enterprise data engineering strategy, leveraging Cloud, AI, and advanced analytics to align with business goals.
• Oversee design and implementation of enterprise-wide data platforms and tools, establishing best practices for data integration, pipelines, architectures, and self-service options.
• Create and execute a comprehensive global data program strategy to simplify and modernize legacy data systems and tools, ensuring data agility, scalability, and quality.
• Work with the security team to implement data privacy, encryption, and access control strategies.
• Incorporate AI and machine learning solutions into the data ecosystem to enhance legacy modernization and data democratization efforts.
• Lead a high-performing team of data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with Data and Analytics, Technology, and Business leaders to enable seamless data accessibility and utilization.

What You Need to Succeed (Required Qualifications)

•  20+ years of experience and knowledge in data engineering tools and strategies, including 10+ years in senior leadership roles within large and matrixed organizations.
•            Proven ability to navigate complex stakeholders across all levels of the organization and cultivate strong partnerships, being able to influence and communicate the organizations direction and ensure results are achieved.
•            Strong knowledge of database management, data architectures and modern data and cloud technologies
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