Senior Data Science Manager

Job description

**About the Role** We are looking for a seasoned Data Science leader with strong experience in **Generative AI**, **machine learning**, and **analytics solution delivery**. The Senior Manager will be responsible for leading project teams, managing client engagements, and delivering high-impact AI/ML solutionsespecially GenAI-driven transformation programs. This role requires someone who can balance technical depth with strong delivery management and stakeholder communication skills. **Key Responsibilities** **1. Project & Delivery Management** - Lead end-to-end delivery of GenAI and ML/AI projects across multiple domains. - Manage project scope, timelines, risks, and quality assurance. - Ensure solutions meet client expectations and business objectives. - Collaborate with cross-functional teamsengineering, product, cloud, and business. - Drive implementation of best practices, delivery frameworks, and standard operating procedures for AI projects. **2. Technical Leadership** - Provide thought leadership and architectural guidance on GenAI, LLMs, NLP, machine learning, and data science methodologies. - Oversee development of models using transformers, LLM fine-tuning, RAG pipelines, prompt engineering, and model evaluation. - Guide teams in building scalable production-grade AI systems. - Stay updated with advancements in Generative AI, embeddings, model optimization, and multi-agent frameworks. **3. Team Management** - Lead and mentor a team of data scientists, ML engineers, and analysts. - Drive capability building through training, technical sessions, and hands-on guidance. - Perform performance evaluations and support career growth of team members. **4. Client & Stakeholder Management** - Engage directly with senior client stakeholders to understand business problems and translate them into AI solutions. - Present proposals, PoCs, and solution architectures. - Manage expectations, communicate progress, and ensure smooth delivery. **5. Business & Strategy** - Contribute to developing the GenAI roadmap and reusable solution accelerators. - Support pre-sales activities, RFP responses, estimations, and solutioning. - Identify opportunities to expand accounts and demonstrate ROI through AI initiatives. **Required Skills & Qualifications** - 12–16 years of overall experience in **Data Science / AI / ML**, with at least **3–5 years in Generative AI**. - Strong experience delivering AI/ML projects in a client-facing and leadership capacity. - Hands-on expertise with transformer models, LLMs (OpenAI, Claude, Llama, etc.), RAG, fine-tuning, and generative modeling techniques. - Strong understanding of Python, ML frameworks (TensorFlow/PyTorch), NLP libraries, vector databases, and MLOps pipelines. - Experience deploying models on cloud platforms (AWS/Azure/GCP). - Excellent communication, stakeholder management, and presentation skills. - Proven track record of leading teams and managing large-scale delivery engagements. **Preferred Qualifications** - Master’s degree in Computer Science, Data Science, AI, or related fields. - Experience in consulting or professional services environment. - Familiarity with enterprise-grade AI governance, security, and compliance frameworks.