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The ideal candidate should be a hands-on leader with deep technical knowledge in modern data platforms, strong client management skills, managing delivery quality and proven expertise in managing P&amp;L and driving margin improvements across large delivery engagements.\n</p>\n<p>\n <br/>\n</p>\n<p>\n Roles &amp; Responsibilities\n</p>\n<p>\n • Client Leadership: Act as the senior delivery leader and trusted partner for healthcare and/or pharma clients, ensuring successful execution of engagements that improve patient outcomes, optimize operations, and reduce costs for the client.\n</p>\n<p>\n • Delivery &amp; Execution: Lead large-scale, multi-year data, AI, and analytics programs across healthcare value chain—spanning clinical, operational, and financial domains.\n</p>\n<p>\n • Consulting &amp; Advisory: Shape and influence client strategies by aligning advanced analytics and data engineering solutions with healthcare industry priorities such as population health, patient engagement, care management and fraud/waste/abuse detection. Knowledge in clinical trials, commercial, Real World Data In Pharma sector will be valued.\n</p>\n<p>\n • Innovation &amp; Growth: Identify new opportunities in your client base for leveraging decision sciences, AI/ML, and digital platforms to accelerate healthcare transformation and therefore drive revenue growth for the account.\n</p>\n<p>\n • Collaboration: Work with cross-functional teams (engineering, product management, compliance, sales, and pre-sales) to ensure seamless onboarding, delivery excellence, and client success.\n</p>\n<p>\n • Margin management: Drive continuous margin improvement initiatives in your accounts through various levers like resource rotation, pyramid optimization, better pricing and so on\n</p>\n<p>\n • Two in a box with Client partner: Work very closely with client partner(s) of your accounts in managing the client relationship and handling any potential delivery escalations. 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