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Lead and manage Accounts Payable, S2P, Helpdesk and service delivery operations. Oversee invoice processing, payments, coding/approvals, vendor onboarding/changes, query resolution, accruals reporting and forecasting. Drive continuous improvement, stakeholder communication, and support business decision-making using Oracle and Ariba.

Lead end-to-end transitions for client engagements, design and implement transition solutions, assess processes for re-engineering and offshoring, build transitions capability, support RFP solutioning, and lead select business development efforts while coordinating with internal teams and client stakeholders.

Lead end-to-end execution of data analytics and architecture projects. Manage a team of 3–4 data analysts, perform data assessment and gap analysis, drive data mapping and process automation, liaise with stakeholders, translate business needs into technical roadmaps, mitigate risks, and present progress and insights to senior leadership.

Lead and execute third-party/vendor risk assessments, manage due diligence and contract review, maintain vendor risk registers and dashboards, collaborate with stakeholders, ensure governance and SLA adherence, mentor associates, and deliver risk reporting.

Prepare, collate, analyze, automate, and present process/functional reports (weekly, monthly, quarterly); maintain MIS; provide performance analysis; ensure compliance; liaise with leadership and support decision-making.

Implement, configure, and support Earnix-based pricing solutions; integrate with policy admin and data systems; collaborate with actuarial, data, and IT teams to design, deploy, and monitor pricing models; ensure scalability, performance, testing, and governance.

No job-specific responsibilities or qualifications are listed. Company overview: EXL delivers data analytics, AI-led solutions and digital operations to clients across insurance, banking, healthcare, retail, and logistics. Role title provided: Assistant Vice President.

Lead design, development, and production deployment of generative AI and LLM-based solutions. Build and optimize ML pipelines, fine-tune and evaluate models, manage infrastructure on Azure/GCP and Linux, ensure secure handling of PII/PHI, and collaborate across teams to integrate AI into enterprise applications.

Lead quality assurance for client clinical claims review: track transactions, implement sampling, audit per guidelines, provide feedback, support training needs, manage rebuttal calls, run inter-rater reliability tests, report quality trends, onboard new agents, and prepare periodic quality reports.

Design and execute test plans and cases to ensure software quality. Identify and document defects, collaborate with developers and stakeholders to resolve issues, optimize QA processes, and provide technical support for testing activities.