Data Science Manager - Generative AI

About The Role

• Lead and mentor a high-impact team of data scientists and ML engineers in designing and deploying scalable AI/ML solutions.
• Architect and implement Generative AI models, including LLMs, GANs, VAEs, and RAG pipelines for domain specific applications.
• Develop statistical models for forecasting, segmentation, and experimentation to support business insights and data-driven decisions.
• Integrate vector databases and real-time knowledge retrieval systems to enhance LLM performance using RAG frameworks (e.g., LangChain, LlamaIndex).
• Ensure operational excellence with best practices in MLOps, model monitoring, governance, and
  

Responsible AI & Strategic Impact

• Collaborate with product, marketing, operations, and executive teams to identify high-impact GenAI use cases that improve customer experience, optimize workflows, and unlock new revenue streams.
• Translate complex AI concepts into clear business language and actionable strategy for leadership and stakeholders.
• Drive AI/ML adoption across business units, identifying opportunities to automate, personalize, and scale key business processes.
• Use data-driven storytelling and visualization to present findings, KPIs, and business outcomes to non technical audiences.
• Contribute to the companys innovation roadmap by proposing and piloting new AI-powered features and Qualifications :
• Masters in Computer Science, Data Science, Statistics, or related fields.
• 10+ years of experience in data science with 2+ years in leading GenAI initiatives.
• Proven experience in building and deploying LLMs, RAG systems, and embedding-based search solutions.
• Strong foundation in statistical analysis, predictive modeling, A/B testing, and experiment design.
• Proficient in Python and key libraries (e.g., Hugging Face, PyTorch, TensorFlow, scikit-learn).
• Strong understanding of cloud platforms (AWS/GCP/Azure), vector databases (Pinecone, FAISS), and MLOps.
• Excellent business acumen with experience influencing product roadmaps and executive strategy through Qualifications :
• Experience commercializing GenAI-powered solutions in B2B or B2C products.
• Background in sectors like legal tech, fintech, retail, or health tech is a plus.
• Publications, patents, or open-source contributions in AI/ML fields.
• Experience with cost optimization of LLM usage and performance benchmarking