As a seasoned Data Science Delivery Leader, your role will entail leading the end-to-end delivery of large, complex Data Science, Advanced Analytics, AI, GenAI, and Agentic AI-driven programs across multiple business verticals. Your primary responsibilities will include:- Own and drive end-to-end delivery of large-scale, multi-year Data Science, AI, GenAI, and Agentic AI programs, ensuring adherence to scope, timelines, quality, and cost.- Provide strong technical oversight across solution design, ML/AI model development, GenAI solution architecture, agent workflows, validation, deployment, and productionization.- Act as the senior escalation point for critical technical, architectural, and delivery issues, including GenAI and AI-agent related risks.- Lead multiple concurrent programs and projects using Agile, hybrid, or waterfall delivery models, including complex AI and GenAI engagements.- Establish and run delivery governance, cadence reviews, and executive-level status reporting for AI and GenAI initiatives.- Lead and manage delivery teams of data scientists, ML engineers, GenAI engineers, data engineers, and analysts to ensure execution excellence.Your qualifications should include:- 17 years of overall experience, with 8-10 years in Data Science / Advanced Analytics / AI delivery roles.- Strong hands-on technical foundation in Machine Learning, AI, Generative AI, and Agentic AI concepts.- Proven experience managing large programs, multi-project portfolios, and complex AI/GenAI delivery engagements.- Solid expertise in program and project management methodologies and delivery governance models.- Experience with tools and technologies such as Python, R,



ML frameworks (TensorFlow, PyTorch, scikit-learn) and exposure to LLM ecosystems.- Excellent communication, stakeholder management, and problem-solving skills.Preferred skills include:- Experience delivering AI, GenAI, and agent-based solutions on cloud platforms (AWS, Azure, GCP).- Exposure to LLM platforms, vector databases, orchestration frameworks, and AI pipelines.- Exposure to big data ecosystems (Spark, Hadoop, Hive).This role is a pure delivery leadership position with a focus on ensuring consistent, high-quality delivery outcomes without P&L; responsibilities. As a seasoned Data Science Delivery Leader, your role will entail leading the end-to-end delivery of large, complex Data Science, Advanced Analytics, AI, GenAI, and Agentic AI-driven programs across multiple business verticals. Your primary responsibilities will include:- Own and drive end-to-end delivery of large-scale, multi-year Data Science, AI, GenAI, and Agentic AI programs, ensuring adherence to scope, timelines, quality, and cost.- Provide strong technical oversight across solution design, ML/AI model development, GenAI solution architecture, agent workflows, validation, deployment, and productionization.- Act as the senior escalation point for critical technical, architectural,



and delivery issues, including GenAI and AI-agent related risks.- Lead multiple concurrent programs and projects using Agile, hybrid, or waterfall delivery models, including complex AI and GenAI engagements.- Establish and run delivery governance, cadence reviews, and executive-level status reporting for AI and GenAI initiatives.- Lead and manage delivery teams of data scientists, ML engineers, GenAI engineers, data engineers, and analysts to ensure execution excellence.Your qualifications should include:- 17 years of overall experience, with 8-10 years in Data Science / Advanced Analytics / AI delivery roles.- Solid hands-on technical foundation in Machine Learning, AI, Generative AI, and Agentic AI concepts.- Proven experience managing large programs, multi-project portfolios, and complex AI/GenAI delivery engagements.- Solid expertise in program and project management methodologies and delivery governance models.- Experience with tools and technologies such as Python, R, ML frameworks (TensorFlow, PyTorch, scikit-learn) and exposure to LLM ecosystems.- Excellent communication, stakeholder management, and problem-solving skills.Preferred skills include:- Experience delivering AI, GenAI, and agent-based solutions on cloud platforms (AWS, Azure, GCP).- Exposure to LLM platforms, vector databases, orchestration frameworks, and AI pipelines.- Exposure to big data ecosystems (Spark, Hadoop, Hive).This role is a pure delivery leadership position with a focus on ensuring consistent, high-quality delivery outcomes without P&L; responsibilities.

📌 Delivery Head - Data Science (India)
🏢 Tredence
📍 India