239944-Senior Assistant Vice President

EXL; Dadri; Vor Ort; INR 4.200.000 - 6.600.000; Vollzeit

Zusammenfassung

EXL is seeking a Senior Assistant Vice President to lead and expand our Enterprise AI initiatives. The role focuses on orchestrating large-scale AI architectures, driving innovation, and aligning stakeholders across business units to deliver tangible business value.

You will mentor AI architects, engineers, and solution managers, ensuring scalable, secure, and compliant delivery while championing ROI, cost optimization, and revenue uplift through AI-driven initiatives.

Jobbeschreibung

Job Description – Senior Assistant Vice President (Sr. AVP), Enterprise AI Unit

Role Overview

We are seeking a dynamic and forward-looking Senior Assistant Vice President (Sr. AVP) to lead and expand our Enterprise AI initiatives. The Sr. AVP will be responsible for driving large-scale AI solution orchestration, innovation evangelization, and stakeholder alignment across business units. This leadership role requires strong expertise in AI architectures, Agentic AI frameworks, LLM applications, and enterprise-grade cloud solutions, combined with proven ability to deliver measurable business impact.

Key Responsibilities

• Strategic AI Leadership: Define, scale, and govern the AI adoption roadmap across the enterprise, ensuring alignment with business strategy.
• Solution Orchestration: Lead design and deployment of complex AI ecosystems leveraging LLMs, Agentic AI frameworks, RAG, AI avatars, and LangGraph-based workflows.
• Innovation Evangelization: Champion AI adoption with clients, partners, and internal teams, positioning the company as a thought leader in the AI space.
• Stakeholder Engagement: Collaborate with CXOs, business leaders, and technology stakeholders to build strong business cases, including ROI, investment, and risk frameworks.
• Enterprise Architecture Oversight: Ensure solutions meet scalability, security, compliance, and operational excellence requirements.
• Talent Leadership: Mentor and develop AI architects, engineers, and solution managers to build a high-performing innovation team.
• Business Impact Delivery: Translate AI capabilities into tangible business outcomes such as cost optimization, revenue uplift, process automation, and improved customer experience.