We are seeking a Data Science Manager Generative AI to lead the design, development, and deployment of GenAI solutions that drive business impact. This role blends people leadership, advanced machine learning expertise, and product thinking, with a strong focus on Large Language Models (LLMs), multimodal models, and AI-driven applications.

You will manage a team of data scientists and ML engineers, partner closely with product and engineering leaders, and ensure GenAI initiatives move from experimentation to scalable, responsible production systems.

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and grow a team of data scientists working on GenAI and advanced ML initiatives
• Define GenAI roadmap aligned with business and product strategy
• Translate ambiguous business problems into actionable AI solutions
• Drive best practices for model development, evaluation, and deployment

Generative AI & Machine Learning

• Design and oversee solutions using LLMs, embeddings, RAG pipelines, fine-tuning, and prompt engineering
• Evaluate and select foundation models (OpenAI, Anthropic, open-source models, etc.)
• Guide experimentation with multimodal AI (text, image, audio, video)
• Ensure model quality, robustness, fairness, and explainability

MLOps & Productionization

• Partner with engineering to deploy GenAI systems at scale
• Establish MLOps standards: versioning, monitoring, retraining, and cost optimization
• Ensure performance, latency, security, and reliability of GenAI systems

Stakeholder & Product Collaboration

• Work closely with Product Managers to define AI-driven features and success metrics
• Communicate complex AI concepts to non-technical stakeholders and executives
• Support go-to-market and customer-facing GenAI capabilities

Governance & Responsible AI

• Implement responsible AI practices, including privacy, compliance, and risk mitigation
• Ensure ethical use of GenAI models and adherence to regulatory standards