Role 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 solutions—especially GenAI-driven transformation programs. This role requires someone who can balance technical depth with robust 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 teams—engineering, 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.

📌 GEN AI Senior Manager (India)
🏢 Tredence
📍 India