Head of Analytics

As a Senior Director / Delivery Lead in Data, Analytics & AI, you will be responsible for driving large-scale Analytics, Data Engineering, AI/ML, and GenAI engagements for global clients. Your role will include delivery leadership, client relationship management, business growth, consulting, and building high-performing analytics organizations. Your ideal qualifications include 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: - 1225 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 various domains. - Exposure to GenAI, LLMs, Agentic AI, MLOps, Cloud Platforms (AWS/Azure/GCP), Databricks, and modern data ecosystems. 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: - Analytics Leadership - Data Engineering & Data Platforms - AI/ML & Generative AI - Data Science & Decision Science - Consulting & Solutioning - Client Stakeholder Management - P&L Management - Delivery Governance - Business Development & Pre-sales - Cloud Technologies (AWS/Azure/GCP) - MLOps / LLMOps - Team Building & Leadership In summary, the ideal candidate for this role is 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. As a Senior Director / Delivery Lead in Data, Analytics & AI, you will be responsible for driving large-scale Analytics, Data Engineering, AI/ML, and GenAI engagements for global clients. Your role will include delivery leadership, client relationship management, business growth, consulting, and building high-performing analytics organizations. Your ideal qualifications include 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: - 1225 years of experience in Analytics, Data Science, Data Engineering, A