What It’s Like to Work on MetLife’s Data and Analytics Team

How MetLife’s Data and Analytics Team Solves Business Challenges

At insurance provider MetLife, the data and analytics team plays a critical role in turning data into insights — driving better decisions, enabling personalized experiences and delivering business impact at scale. With a global footprint, the team is uniquely positioned to transform data into solutions that matter.

That impact is what drew AVP of Business Analytics Himanshu Mittal to MetLife. With over 18 years of experience, his career has been shaped by curiosity and a passion for solving complex business challenges.

Before joining MetLife, Mittal spent much of his time in consulting, working across industries on high-impact problems. The work was fast-paced and engaging, but he found himself wanting more — specifically, the opportunity to see how his work translated into real outcomes.

“I had the opportunity to solve complex challenges, but once the recommendation was delivered, we often didn’t get to see what happened next,” Mittal said.

That desire to be closer to the outcome and see how ideas evolved, scaled and made a difference is what led him to MetLife. 

Today, based in Hyderabad, India, within the MetLife Global Capability Center, Mittal’s work applies AI and machine learning to solve real-world business challenges.

How MetLife Supports Growth and Continuous Learning

What stood out to Mittal early on was the culture.

“Across all teams at MetLife, the energy around innovation and creating meaningful solutions is palpable,” Mittal said. “Leaders encourage teams to challenge the status quo and take calculated risks.”

That mindset shows up in everyday work. Ideas are not limited by role or tenure, and teams are encouraged to contribute, test and iterate.

There’s also a strong focus on continued professional growth. Through programs like MyPath, which serves as a talent marketplace to empower employees to pursue and learn new skills, team members have access to continuous learning opportunities that help them stay current in a rapidly evolving space.

Learning is also embedded in day-to-day work. Internal enterprise-wide hackathons create space to experiment and innovate, while a strong culture of knowledge-sharing encourages employees to build new skills across disciplines and grow in ways that align with their career aspirations.

“The balance between structure, flexibility and ongoing learning at MetLife creates an environment where innovation can thrive,” Mittal said.

How MetLife’s Data and Analytics Team Builds Ownership Through End-to-End Work

At MetLife, the work within data and analytics doesn’t stop at insight generation.

Team members are involved across the full lifecycle, from shaping the idea to building, testing and bringing personalized customer experiences and solutions into production.

“Our team works on high-impact solutions across a variety of business needs,” Mittal said. “We’re involved from concept through rollout, and that specific visibility, how ideas translate into real outcomes, has made me a better practitioner.”

That shift has been one of the most meaningful parts of his experience. It creates a deeper sense of ownership and a clearer connection between the work, the people it ultimately serves and the company’s purpose.

How MetLife Applies AI and Advanced Analytics to Business Problems

Over the last five years, Mittal’s work has spanned multiple markets and lines of business. His contributions applying AI, machine learning and advanced analytics have been recognized with two MetLife Purpose Awards, which honor teams and individuals whose work brings MetLife’s purpose to life, creating meaningful impact across the company and the communities they serve. 

“I helped build an end-to-end automated claims solution for our Pet Insurance portfolio, using AI to process claims, which marked a significant step forward in automation within our business,” Mittal said. “I also developed a personalized recommendation engine for our B2C market in India, using data and generative AI to deliver tailored solutions and messaging. Both were very different use cases, underscoring the depth of visibility and impact we can create.”

For Mittal, these solutions reflected a broader mindset. 

“Success comes from focusing on the problem first,” Mittal said. “On the data and analytics team at MetLife, we think about the solution holistically and then apply technology as an enabler where it creates the most value. We don’t lead with the tech.”

He also emphasizes the importance of collaboration. Many of these solutions come to life through strong partnerships across teams, markets and disciplines.

Why Build a Data and Analytics Career at MetLife?

For candidates exploring opportunities in data and analytics, Mittal describes MetLife as offering a unique combination of scale and agility. 

“MetLife operates in over 40 markets, and the innovation driven internally often feels like a startup,” Mittal said. “It’s fast-paced and energetic, while still offering a strong sense of stability, work-life balance and the bonus: global exposure. I interact with team members all across the world.”

For those looking to grow their careers while gaining that level of exposure, this combination can be powerful. 

As AI and emerging technologies continue to evolve, Mittal remains focused on what matters most. Not the tools themselves, but the outcomes they enable. 

“At the end of the day, it’s about solving real problems and delivering lasting impact. At MetLife, our data and analytics team is doing just that. It’s a unique experience to see your work so closely tied to the company’s purpose,” Mittal said. “If someone is looking for a place to work across AI, predictive modeling and advanced analytics to deliver global solutions, I encourage them to apply. It’s an exciting time to join.” 

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