Sr Director Data Sciences

Target Target · Retail · Bangalore, India

Senior Director of Search (Data Sciences & Engineering) at Target, leading a global organization of 60+ to build and evolve the end-to-end Search ecosystem. The role focuses on technical strategy, AI innovation, and operational excellence for query understanding, semantic retrieval, ranking systems, relevance AI, search platform architecture, evaluation frameworks, and conversational/agentic search capabilities. Key responsibilities include defining technical vision, leading the transition to agentic search, advancing AI capabilities (embeddings, transformers, RL, LLM reasoning), building AI systems for intent understanding and RAG, establishing evaluation frameworks, driving responsible AI and governance, and partnering with product and engineering leadership. Requires advanced degree, 16+ years of experience in production ML/AI systems, deep expertise in Search/IR, and proven leadership experience.

What you'd actually do

  1. Define and evolve Target’s multi-year technical strategy for Search.
  2. Lead the transition toward agentic and conversational search systems.
  3. Develop AI systems enabling intent-aware query understanding and contextual signals.
  4. Implement retrieval-augmented generation (RAG) where appropriate.
  5. Implement monitoring frameworks for AI quality, bias, safety, and privacy.

Skills

Required

  • Advanced degree (PhD or MS) in Computer Science, Machine Learning, AI, Mathematics, Statistics, or related field
  • 16+ years of experience building and scaling ML/AI systems in production
  • Deep expertise in Search and Information Retrieval, including learning-to-rank, NLP, transformers, embeddings, and retrieval architectures
  • Experience shipping AI/ML systems at scale in high-traffic consumer environments
  • Proven experience leading large global teams, including leader of leaders
  • Strong executive presence and ability to influence senior stakeholders

Nice to have

  • Experience integrating GenAI responsibly into consumer-facing systems

What the JD emphasized

  • building and scaling ML/AI systems in production
  • Deep expertise in Search and Information Retrieval
  • Experience shipping AI/ML systems at scale in high-traffic consumer environments
  • Proven experience leading large global teams, including leader of leaders
  • Experience integrating GenAI responsibly into consumer-facing systems

Other signals

  • leading a global organization of 60+ engineers, data scientists, and technical leaders
  • technical strategy, architecture, AI innovation, and operational excellence
  • building and evolving Target’s end-to-end Search ecosystem
  • defining and evolving Target’s multi-year technical strategy for Search
  • lead the transition toward agentic and conversational search systems
  • advance capabilities in embeddings, semantic retrieval, transformers, reinforcement learning, and LLM-powered reasoning
  • develop AI systems enabling intent-aware query understanding and contextual signals
  • Implement retrieval-augmented generation (RAG) where appropriate
  • Enable multi-turn conversational refinement and guided shopping experiences
  • Establish strong evaluation frameworks and experimentation systems
  • Drive Responsible AI & Governance
  • Implement monitoring frameworks for AI quality, bias, safety, and privacy
  • Ensure explainability, trust, and strong production standards
  • Experience integrating GenAI responsibly into consumer-facing systems