Engagement Manager

As an Engagement Manager, you will lead the end-to-end delivery of AI/ML solutions, drive client growth, and shape strategic programs. Your primary strength will be consulting, understanding client needs, crafting strategic solutions, and articulating value clearly. You'll bring strong technical depth in classical AI/ML, including neural networks and NLP, and a basic understanding of Generative AI to engage in meaningful discussions. You will also be responsible for proposal development, RFP responses, and creating compelling presentations that communicate business impact and technical strategy effectively.
The candidate will have responsibilities across the following functions:
Business Consulting and Client Relationship Management:
Lead strategic AI and data science engagements across industries such as Airlines, Automotive, and Retail.
Build and nurture senior-level client relationships, driving account expansion and long-term value.
Collaborate with sales and consulting teams to shape solutions for RFPs and new opportunities.
Own and drive proposal creation, including solutioning, pricing, and delivery models.
Develop and deliver impactful presentations that clearly articulate business value and technical strategy.
Develop and communicate AI roadmaps, aligning with client vision and business objectives.
Stay informed on trends in GenAI, LLMs, and Agentic AI, and contribute to internal innovation and client discussions.
Delivery Management:
Translate complex business challenges into AI/ML-driven solutions, ensuring relevance and impact.
Oversee multiple projects, ensuring timely delivery, quality outcomes, and proactive risk management.
Define and monitor KPIs to measure success and client satisfaction (NPS).
Build and mentor high-performing teams, fostering a culture of innovation and continuous learning.
Operationalise AI solutions at scale, integrating seamlessly with client ecosystems.
Manage account-level P and L, ensuring profitability and revenue growth.
Requirements:
10+ years of experience in analytics and consulting, with 4+ years in leadership roles.
Proven track record of leading end-to-end AI/ML solution delivery across global clients.
Strong domain expertise in or similar industries.
Hands-on experience with classical AI/ML techniques, including segmentation, recommendation systems, forecasting, neural networks, and NLP.
Basic understanding of GenAI concepts (e. g., LLMs, prompt engineering, use cases) to engage in strategic discussions.
Proven experience in proposal development, RFP responses, and client presentations.
Excellent stakeholder management, including C-suite engagement across geographies.
Strong business acumen with the ability to quantify and articulate business value.
Exceptional communication and articulation skills.
Willingness to travel for client engagements.

Experience
11-15 yrs