Engagement Manager / Senior Engagement Manager - Data Analytics & AI

Location: India (Hybrid / Client-facing)

Employment Type: Full-time

Department: AI Consulting & Client Engagement

About the Role:

We are seeking a strategic and driven Engagement Manager / Senior Engagement Manager to lead and coordinate data analytics and AI engagements for strategic enterprise clients across global markets. As a trusted AI consulting partner, this is a high-impact, client-facing role offering significant exposure to senior client stakeholders and senior leadership. You will be responsible for translating complex business challenges into scalable AI and analytics solutions, acting as the primary bridge between business leaders and technical delivery teams. The ideal candidate possesses fluency in modern AI concepts (ML, GenAI, LLMs) and a proven track record of owning end-to-end delivery. You will oversee project execution, drive account growth, manage P&L, and shape strategic programs in an AI-first organization.

Key Responsibilities:

1. Engagement Planning & End-to-End Delivery:

- Define engagement charters, delivery plans, and milestones across concurrent AI and data workstreams.

- Oversee successful execution of analytics and AI initiatives from inception to completion.

2. Client & Stakeholder Management:

- Engage with CXO and VP-level stakeholders to understand business objectives, constraints, and success metrics.

- Build trusted-advisor relationships, managing expectations and delivering exceptional client experiences.

3. Strategic Translation & Solutioning:

- Translate unstructured client questions into clear problem statements, hypotheses, and analytical workplans.

- Develop AI roadmaps aligned with the client's vision and business objectives.

4. Account Growth & Business Development:

- Proactively identify new opportunity areas where AI and analytics can deliver incremental value.

- Drive proposal creation, RFP responses, SOWs, and executive presentations that clearly articulate business value.

Required Experience & Qualifications:

- Total Experience: 10+ years of professional experience across strategy consulting, analytics consulting, or technology-enabled transformation roles.

- Domain Experience: Minimum of 7+ years of relevant experience managing and delivering data analytics, data science, and AI-driven projects.

- Execution Track Record: Proven track record of leading end-to-end AI/ML solution delivery across global enterprise clients.

- Technical Fluency: Strong familiarity with AI terminology and concepts (e.g., classical AI/ML, Generative AI, LLMs).

- Executive Presence: Excellent stakeholder management skills, with demonstrated experience interfacing with C-suite and VP-level executives.

- Commercial Acumen: Experience managing account-level P&L and contributing actively to RFPs and business development efforts.