Senior Manager – Data Scientist

Overview

Senior Manager, Data Scientist role leading AI and data science solutions for HR business problems, including RAG pipelines, multi-agent systems and LLM-based orchestration.

What you'll do

• Partner with HR leadership and functional SMEs to identify, prioritize and define high-impact business problems in the HR domain.
• Conduct cost-benefit analysis for proposed AI solutions and present data-backed recommendations.
• Pitch ideas, secure buy-in and maintain alignment with senior stakeholders.
• Provide regular executive updates highlighting progress, risks and mitigation plans.
• Lead end-to-end implementation of AI solutions using ML, Gen AI and Agentic AI.
• Translate business requirements into technical specifications and actionable roadmaps.
• Create design of solutions/products involving RAG pipelines, multi-agent systems, LLM-based orchestration and workflows.
• Oversee solution development, testing and deployment on cloud platforms (Azure, AWS).
• Ensure on-time delivery of the solution.
• Lead and mentor a team of data scientists and AI/ML engineers.
• Conduct code reviews and architecture reviews and ensure adherence to best practices.
• Brainstorm with SMEs to uncover latent HR challenges.
• Explore emerging AI trends (multi-modal LLMs, reasoning models, autonomous agents) for HR use cases.

What you'll need

• Bachelor's in Business Analytics, Computer Science or Statistics, or Master's in Data Science.
• Certification in Data Science Using R (SimpliLearn).
• Required skills include Artificial Intelligence (AI), Amazon SageMaker, Automated Machine Learning (AutoML), Computer Vision, Agile Methodology, CI/CD, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Change Management, Client Relations, Executive Presence, and Human Resources Operations, among others.
• English language proficiency: Proficient (C2).

Details

• Location: Gurgaon (Ph V, STPI), India.
• Job type: Regular.
• Work mode: Office.
• Work shift: Day job (India).