Head of Analytics

Senior Director / Delivery Lead – Data, Analytics & AI

Experience: 12–25 Years

Location: Pune / Mumbai / Chandigarh / Remote (based on business requirements)

About the Role

We are looking for a senior leader to drive large-scale Analytics, Data Engineering, AI/ML, and GenAI engagements for global clients. The role will be responsible for delivery leadership, client relationship management, business growth, consulting, and building high-performing analytics organizations. The ideal candidate should have experience managing enterprise analytics portfolios, leading large teams, and delivering measurable business outcomes through Data, AI, and Digital Transformation initiatives.

Key Responsibilities

• Lead end-to-end delivery of Analytics, Data Engineering, AI/ML, and GenAI programs for enterprise clients.
• Own client relationships and act as a trusted advisor to senior stakeholders and executive leadership.
• Drive account growth through upselling, cross-selling, solutioning, and consulting engagements.
• Manage P&L, revenue growth, delivery governance, utilization, and profitability targets.
• Build and scale high-performing teams comprising Data Scientists, Data Engineers, Analytics Consultants, and AI specialists.
• Define analytics and AI transformation roadmaps aligned with client business objectives.
• Collaborate with Sales, Consulting, and Practice teams to support RFPs, solution design, and business development initiatives.
• Establish delivery governance frameworks, operational excellence practices, and performance metrics.
• Drive adoption of modern technologies including Data Engineering, Cloud, AI/ML, GenAI, MLOps, and Analytics platforms.
• Mentor future leaders and strengthen organizational capability in Data & AI.

Preferred Experience

• 12–25 years of experience in Analytics, Data Science, Data Engineering, AI/ML, Decision Science, or Digital Transformation.
• Proven leadership experience managing large-scale client engagements and global delivery teams.
• Experience owning multi-million-dollar portfolios, revenue targets, and P&L responsibilities.
• Strong background in Analytics Consulting, AI/ML Strategy, Data Engineering, or Enterprise Data Platforms.
• Experience working with global clients across Banking, Financial Services, FinTech, Retail, E-commerce, Telecom, Manufacturing, Healthcare, or Technology domains.
• Exposure to GenAI, LLMs, Agentic AI, MLOps, Cloud Platforms (AWS/Azure/GCP), Databricks, and modern data ecosystems is highly desirable.
• Demonstrated success in stakeholder management, client engagement, and business growth initiatives.
• Experience leading geographically distributed teams of 30+ professionals.

Education

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Data Science, Business Analytics, or related discipline.
• MBA or advanced qualifications in Analytics, AI, Data Science, or Business Management preferred.

Key Skills

'14; Analytics Leadership

'14; Data Engineering & Data Platforms

'14; AI/ML & Generative AI

'14; Data Science & Decision Science

'14; Consulting & Solutioning

'14; Client Stakeholder Management

'14; P&L Management

'14; Delivery Governance

'14; Business Development & Pre-sales

'14; Cloud Technologies (AWS/Azure/GCP)

'14; MLOps / LLMOps

'14; Team Building & Leadership

Ideal Candidate

A strategic and commercially driven Data & AI leader who has successfully built analytics organizations, managed enterprise-scale delivery portfolios, driven business growth, and partnered with CXOs to deliver measurable business impact through Analytics, Data Engineering, AI/ML, and Generative AI solutions.