Digital Analytics jobs in India

The VP Digital Analytics will be responsible for leading data-driven initiatives to optimise customer experiences and drive business strategies within the financial services industry. The role requires expertise in analytics and a deep understanding of retail banking and loans providers.

The Global Delivery Head for Data & Analytics is a senior leadership role responsible for driving end-to-end delivery of data, analytics, and AI programs across the India delivery organization. They will build and scale delivery capabilities, manages cross-functional teams (data engineering, BI, data science, AI/ML), and ensures adoption of best practices in data architecture, governance, and analytics transformation.

Build and deploy AI-led solutions while embedded with business teams.

Own outcomes, not just code.

As an EXL_Agentic AI Architect,you will be responsible for defining and governing enterprise‑scale cloud, infrastructure, DevSecOps, security, and agentic‑AI-ready architectures. The leader shapes multi‑cloud and hybrid strategies, establishes reference architectures and guardrails, drives high levels of automation and efficiency, and ensures platforms are secure‑by‑design, scalable, and aligned to business outcomes.

As an AI Architect Lead, you will design, develop, and implement AI solutions to address complex business challenges in the Technology & Telecoms industry. Based in Gurgaon, this role requires expertise in analytics and infrastructure to drive innovative projects and deliver measurable results.

This role focuses on driving supply chain transformation by working closely with business teams implementing planning solutions and ensuring adoption. You'll act as the bridge between business and tech translating requirements into scalable outcomes

It's a high-ownership individual contributor role involving stakeholder management vendor coordination end-to-end delivery with a strong focus on business impact rather than pure technical execution

The AI Tech Lead will deliver intelligent systems from architecture to production at scale. They should be skilled in designing robust AI platforms, data pipelines, and MLOps frameworks, with strong focus on scalability, reliability, and performance optimization. They should also have experience in applying advanced techniques across machine learning, deep learning, NLP, and GenAI (including RAG and LLM-based systems), while embedding responsible AI practices.

The AI Product Manager will lead the development and implementation of AI-driven solutions within the energy and natural resources industry, focusing on the gas sector. This role is based in Bengaluru and requires expertise in analytics to drive innovation and optimize business processes.

The Senior Data and AI Officer will play a pivotal role in driving enterprise-wide adoption of AI-powered productivity tools, including generative AI assistants, workflow automation platforms and will design and execute AI enablement roadmaps that embed AI into daily workflows to enhance efficiency, collaboration, and data-driven decision-making.

We are seeking a user insights expert not merely a community or research manager；someone who can bridge player understanding with product and marketing strategy in the Indian gaming landscape.

The AI Engineering Director will lead the analytics department in developing and implementing AI-driven solutions to enhance business performance in the CPG/FMCG sector. This role requires expertise in analytics and a strategic mindset to drive innovation and efficiency in the beverages and alcohol segment.

This role offers the opportunity to lead digital and analytics strategy engagements, helping clients reimagine business models and deploy enterprise-scale technology solutions. As an Manager, you'll solve complex problems, drive innovation, and shape technology‑enabled transformations across industries.

This is a senior leadership role responsible for owning and transforming the organization's SAP ecosystem, digital platforms, enterprise analytics, and IT infrastructure. The role partners closely with executive leadership to drive financial transparency, operational efficiency, and secure, data-driven transformation at scale.