About the Role:

We are seeking an experienced and visionary Lead to manage a high-performing data team at the intersection of marketing, intelligence, and emerging AI. This role will define the strategic roadmap for Advanced Analytics, Machine Learning, and next-generation Generative AI / LLM solutions across BFSI, Retail, Pharma, and FMCG sectors.

The candidate has strong hands-on foundations in Data Science and AI, and has since moved into a strategic leadership role focusing on capability building, solution design, client advisory, and scaling intelligent marketing ecosystems.

Key Responsibilities:

Strategic Leadership:

- Define and drive the organizations Data Science + GenAI + LLM strategy aligned with business and client growth goals.

- Champion adoption of modern AI capabilities such as LLM fine-tuning, RAG pipelines, prompt orchestration, and AI agent workflows.

- Cultivate a culture of innovation, experimentation, and responsible AI across the data organization.

Client & Stakeholder Management:

- Act as the senior AI advisor for key clients, shaping solutions that address real business challenges.

- Translate complex data and AI opportunities into clear business narratives and marketing strategies.

- Drive engagement and trust with C-suite stakeholders across strategy, growth, and digital initiatives.

People & Team Management:

- Lead and mentor Data Scientists, ML Engineers, Data Engineers, Analysts, and GenAI Specialists.

- Drive hiring, capability expansion, knowledge sharing, and structured skill development initiatives.

- Establish scalable collaboration models across data, tech, and marketing teams.

Solutioning & Delivery Oversight:

- Oversee design and deployment of ML models, GenAI applications (chatbots, copilots, summarization engines, content automation), customer intelligence platforms, and prediction frameworks.

- Lead implementation of RAG pipelines, enterprise LLM integration, embeddings-based search, and multi-agent workflow automation.

- Ensure adherence to data governance, security standards, ethical AI, and regulatory compliance.

Desired Skills & Experience:

- Educational Background: Master's / PhD in Computer Science, Data Science, Statistics, Engineering, or related fields.

Core Expertise:

- Hands-on background in ML, Predictive Modeling, NLP, and GenAI/LLM architectures (GPT, LLaMA, Claude, Mistral, etc.)

- Experience with Vector Databases, Knowledge Graphs, and LLM Fine-tuning / Prompt Engineering.

- Proven experience deploying solutions on AWS / GCP / Azure and operationalizing ML pipelines (MLOps).

Leadership:

- 3+ years in a senior leadership role managing cross-functional, data-driven teams.

- Ability to build and scale teams, mentor senior talent, and define operating structures.

Business Acumen:

- Strong ability to connect analytical capabilities to marketing KPIs and commercial impact.

- Excellent communication, storytelling, and stakeholder influence skills.

What Youll Bring:

- A unique blend of technical depth and business strategy.

- Passion to build, scale, and institutionalize GenAI and data capabilities.

- Courage to experiment and drive innovation in a rapidly evolving AI ecosystem.

- A leadership style rooted in clarity, collaboration, and growth mindset.