Senior Director, Enterprise AI & Decision Intelligence
TechBangaloreFull-time110 – 140
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About this role
The Senior Director, Enterprise AI & Decision Intelligence will:
- Define multi‑year strategy and roadmap for enterprise AI, agentic automation, and decision intelligence aligned with Ralph Lauren’s data strategy.
- Establish enterprise frameworks for model development, safety, and agent autonomy levels, setting OKRs for adoption, time‑to‑value, and cost savings.
- Lead development of predictive, prescriptive, and generative AI solutions, including autonomous agents that orchestrate multi‑step workflows with auditability.
- Build reusable AI agents for data engineering pipelines, data quality governance, and the ML lifecycle, partnering with AI Engineering to integrate them into production.
- Drive enterprise rollout of conversational AI copilots embedded in analytics tools and business applications, defining prompt patterns, safety filters, and usage analytics.
- Own strategy for enterprise visualization (Power BI/MicroStrategy) and AI‑native decision experiences, embedding agentic insights into dashboards.
- Co‑lead AI governance, establishing privacy, fairness, explainability, and risk‑management guardrails, and defining SLAs/SLOs for model health and agent actions.
- Publish a catalog of reusable agents, components, and prompts to accelerate delivery across the Data & Analytics organization.
- Build and mentor a global, high‑performing team of data scientists, decision scientists, AI engineers, and visualization experts, fostering communities of practice and responsible innovation.
- Partner with Data Product Management and Data & AI Engineering to embed AI capabilities into data products and ensure platform scalability.
- Define multi‑year strategy and roadmap for enterprise AI, agentic automation, and decision intelligence aligned with Ralph Lauren’s data strategy.
- Establish enterprise frameworks for model development, safety, and agent autonomy levels, setting OKRs for adoption, time‑to‑value, and cost savings.
- Lead development of predictive, prescriptive, and generative AI solutions, including autonomous agents that orchestrate multi‑step workflows with auditability.
- Build reusable AI agents for data engineering pipelines, data quality governance, and the ML lifecycle, partnering with AI Engineering to integrate them into production.
- Drive enterprise rollout of conversational AI copilots embedded in analytics tools and business applications, defining prompt patterns, safety filters, and usage analytics.
- Own strategy for enterprise visualization (Power BI/MicroStrategy) and AI‑native decision experiences, embedding agentic insights into dashboards.
- Co‑lead AI governance, establishing privacy, fairness, explainability, and risk‑management guardrails, and defining SLAs/SLOs for model health and agent actions.
- Publish a catalog of reusable agents, components, and prompts to accelerate delivery across the Data & Analytics organization.
- Build and mentor a global, high‑performing team of data scientists, decision scientists, AI engineers, and visualization experts, fostering communities of practice and responsible innovation.
- Partner with Data Product Management and Data & AI Engineering to embed AI capabilities into data products and ensure platform scalability.
Why we're hiring
Ralph Lauren’s Global Data & Analytics organization needs a senior leader to define, deliver, and scale enterprise‑wide AI, agentic systems, and decision‑intelligence capabilities. The role will accelerate AI‑powered efficiency, predictive decisioning, and modern insights across merchandising, supply chain, finance, digital, and store functions, ensuring solutions are responsible, secure, and embedded into daily operations. This hire enables the company to meet its multi‑year data strategy, drive measurable business outcomes, and maintain a competitive edge in retail through rapid, trustworthy AI deployment.
What we're looking for
Enterprise mindset & cross‑functional influence
Product/platform orientation & standardization
Responsible AI & risk‑aware decisioning
Strategic storytelling & stakeholder alignment
Talent development & community building
Bias to simplification, measurable value, speed to impact