Description:
About the Company
Willis Towers Watson (NASDAQ: WLTW) is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 45,000 employees serving more than 140 countries and markets.
- We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets and ideas — the dynamic formula that drives business performance.
- Together, we unlock potential.
About the team
The Central Operations team plays a pivotal role in ensuring our Employee Benefits operations run with consistency, precision, and scalability. As the second‑in‑command to the Central Operations Leader (Data/Endorsement Management), this function acts as the operational backbone—translating strategic priorities into reliable, day‑to‑day execution.
At the core of the team is a group of highly skilled Data Handlers who operate as Subject Matter Experts within the Employee Benefits segment. The team is accountable for maintaining data accuracy, driving operational excellence, and supporting seamless policy and endorsement management. Through proactive guidance, structured processes, and deep domain knowledge, the team ensures that operational workflows remain efficient, compliant, and client‑ready at all times. This is a hands‑on leadership function, responsible for delivering outcomes through strong process intelligence, sound judgement, and a steady presence in rapid‑moving situations. The team’s strength lies in its ability to bring clarity to complexity, stay composed under pressure, and uphold disciplined operational execution. Whether supporting daily activities or stepping in to independently run operations, the team ensures stability, quality, and continuous improvement across the
📌 Assistant Vice President (Mumbai)
🏢 WTW
📍 Mumbai