Job Description

• Strategic Leadership: Define and execute enterprise-level digital transformation strategies centered on Generative AI (Gen AI), automation, and cloud technologies to drive innovation and business value.
• Transformation Execution: Lead complex transformation programs across business units, ensuring delivery of scalable AI solutions that improve customer experience, operational efficiency, and decision-making.
• Project Oversight: Manage a team of 4-5 Project Managers alongside multiple high-impact AI initiatives simultaneously, ensuring delivery on time, within scope, and on budget. Provide governance and oversight on Agile and hybrid project methodologies.
• Stakeholder Collaboration: Partner with senior business stakeholders, Clients, technology leaders, and product owners to shape AI adoption strategies and ensure solutions align with business goals.
• Change Management: Act as a change agent to drive the adoption of Gen AI across teams. Champion digital culture shifts, enable business readiness, and address change resistance effectively.
• AI/ML Oversight: Guide the architecture, development, deployment, and monitoring of AI models and ML workflows, ensuring performance, fairness, and compliance.
• Platform & Tool Leadership: Direct use of tools/platforms such as ServiceNow, Appian, JIRA, AWS, and other low-code/no-code and cloud technologies in delivery initiatives.
• Innovation Culture: Promote an innovation-driven environment through regular experimentation, pilots, and training around emerging AI/Gen AI technologies.
• Risk & Compliance Management: Identify, assess, and mitigate delivery, operational, and technical risks. Ensure compliance with internal standards and external regulatory requirements.
• Vendor & Partner Management: Evaluate and manage third-party vendors, negotiate service contracts, and ensure partner accountability on deliverables.
• Budget & Resource Management: Develop, track, and manage program budgets, resource allocation, and capacity planning for current and upcoming projects.

Performance Reporting: Establish metrics and KPIs to measure success. Deliver strategic reporting and executive summaries to High-level stakeholders.

• Strategic Leadership: Define and execute enterprise-level digital transformation strategies centered on Generative AI (Gen AI), automation, and cloud technologies to drive innovation and business value.
• Transformation Execution: Lead complex transformation programs across business units, ensuring delivery of scalable AI solutions that improve customer experience, operational efficiency, and decision-making.
• Project Oversight: Manage a team of 4-5 Project Managers alongside multiple high-impact AI initiatives simultaneously, ensuring delivery on time, within scope, and on budget. Provide governance and oversight on Agile and hybrid project methodologies.
• Stakeholder Collaboration: Partner with senior business stakeholders, Clients, technology leaders, and product owners to shape AI adoption strategies and ensure solutions align with business goals.
• Change Management: Act as a change agent to drive the adoption of Gen AI across teams. Champion digital culture shifts, enable business readiness, and address change resistance effectively.
• AI/ML Oversight: Guide the architecture, development, deployment, and monitoring of AI models and ML workflows, ensuring performance, fairness, and compliance.
• Platform & Tool Leadership: Direct use of tools/platforms such as ServiceNow, Appian, JIRA, AWS, and other low-code/no-code and cloud technologies in delivery initiatives.
• Innovation Culture: Promote an innovation-driven environment through regular experimentation, pilots, and training around emerging AI/Gen AI technologies.
• Risk & Compliance Management: Identify, assess, and mitigate delivery, operational, and technical risks. Ensure compliance with internal standards and external regulatory requirements.
• Vendor & Partner Management: Evaluate and manage third-party vendors, negotiate service contracts, and ensure partner accountability on deliverables.
• Budget & Resource Management: Develop, track, and manage program budgets, resource allocation, and capacity planning for current and upcoming projects.

Performance Reporting: Establish metrics and KPIs to measure success. Deliver strategic reporting and executive summaries to High-level stakeholders.

• Strategic Leadership: Define and execute enterprise-level digital transformation strategies centered on Generative AI (Gen AI), automation, and cloud technologies to drive innovation and business value.
• Transformation Execution: Lead complex transformation programs across business units, ensuring delivery of scalable AI solutions that improve customer experience, operational efficiency, and decision-making.
• Project Oversight: Manage a team of 4-5 Project Managers alongside multiple high-impact AI initiatives simultaneously, ensuring delivery on time, within scope, and on budget. Provide governance and oversight on Agile and hybrid project methodologies.
• Stakeholder Collaboration: Partner with senior business stakeholders, Clients, technology leaders, and product owners to shape AI adoption strategies and ensure solutions align with business goals.
• Change Management: Act as a change agent to drive the adoption of Gen AI across teams. Champion digital culture shifts, enable business readiness, and address change resistance effectively.
• AI/ML Oversight: Guide the architecture, development, deployment, and monitoring of AI models and ML workflows, ensuring performance, fairness, and compliance.
• Platform & Tool Leadership: Direct use of tools/platforms such as ServiceNow, Appian, JIRA, AWS, and other low-code/no-code and cloud technologies in delivery initiatives.
• Innovation Culture: Promote an innovation-driven environment through regular experimentation, pilots, and training around emerging AI/Gen AI technologies.
• Risk & Compliance Management: Identify, assess, and mitigate delivery, operational, and technical risks. Ensure compliance with internal standards and external regulatory requirements.
• Vendor & Partner Management: Evaluate and manage third-party vendors, negotiate service contracts, and ensure partner accountability on deliverables.
• Budget & Resource Management: Develop, track, and manage program budgets, resource allocation, and capacity planning for current and upcoming projects.

Performance Reporting: Establish metrics and KPIs to measure success. Deliver strategic reporting and executive summaries to High-level stakeholders.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.