AI & Data Strategy Leader – Hybrid

MetLife, Inc.; Cary (NC); Hybrid; USD 148,000 - 155,000; Full time

Benefits offered by this job

Health plan

401(k) with employer matching

Paid time off

Job summary

MetLife, Inc. in Cary, NC is seeking a high‑impact Data & Analytics leader to drive AI‑driven product development and analytics initiatives.

You will shepherd problem framing, design, development, testing, and deployment, collaborating with cross‑functional teams including Business, Technology, Operations, and Data capabilities. You will mentor teams, accelerate delivery, and advance reusable analytics frameworks.

Qualifications

• Bachelor’s or Master’s in CS/IT or related field with extensive data experience for dashboards and models.
• Experience curating data and summarizing data for multiple dashboards and models.
• Experience applying statistical and machine learning techniques for ML model development and deployment.
• Experience leading mid‑sized data and analytics teams and delivering Agile solutions.

Responsibilities

• Lead data, analytics, and AI initiatives across the product life cycle.
• Collaborate with Business, Technology, Operations and D&A capabilities to design and deploy analytics solutions.
• Mentor analytics talent and promote best practices in data governance, quality, and insight delivery.
• Deliver analytics projects on time with high business impact and reusable frameworks.

Skills

Data analytics

AI product development

Machine learning techniques

Leadership

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field

Master's degree in Computer Science, Computer Engineering, Information Technology or related field

Tools

Data Modeling

Data Architecture

DevOps

BI & Insights

Job description

MetLife, Inc. in Cary, NC is seeking a high‑impact Data & Analytics leader to drive AI‑driven product development and analytics initiatives.

You will shepherd problem framing, design, development, testing, and deployment, collaborating with cross‑functional teams including Business, Technology, Operations, and Data capabilities. You will mentor teams, accelerate delivery, and advance reusable analytics frameworks.