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Project Manager
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In office (Gurgaon)
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 28, 2026. EXL scores B on the Alion truth index.
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EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
"Key Responsibilities
- Lead end-to-end delivery of Commercial Insurance data, analytics, reporting and dashboard implementation projects.
- Drive client workshops to clarify business objectives, KPIs, measures, dashboard requirements and acceptance criteria.
- Apply insurance domain knowledge across policy, premium, claims, underwriting, reinsurance and portfolio performance discussions.
- Translate business requirements into clear, implementable outcomes in collaboration with Business Analysts, Data Engineers, BI Developers and Architects.
- Understand the solution landscape, including SQL, data pipelines, data models, backend architecture and BI/reporting layers.
- Assess technical challenges and dependencies raised by the team and communicate their delivery and business impact to stakeholders.
- Own project plans, milestones, resources, RAID items, dependencies, UAT, production readiness and stakeholder sign-off.
- Delegate work across the delivery team, track progress and maintain
"Key Responsibilities
- Lead end-to-end delivery of Commercial Insurance data, analytics, reporting and dashboard implementation projects.
- Drive client workshops to clarify business objectives, KPIs, measures, dashboard requirements and acceptance criteria.
- Apply insurance domain knowledge across policy, premium, claims, underwriting, reinsurance and portfolio performance discussions.
- Translate business requirements into clear, implementable outcomes in collaboration with Business Analysts, Data Engineers, BI Developers and Architects.
- Understand the solution landscape, including SQL, data pipelines, data models, backend architecture and BI/reporting layers.
- Assess technical challenges and dependencies raised by the team and communicate their delivery and business impact to stakeholders.
- Own project plans, milestones, resources, RAID items, dependencies, UAT, production readiness and stakeholder sign-off.
- Delegate work across the delivery team, track progress and maintain
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