Enterprise Data & AI Product Lead

The Estée Lauder Companies Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

The Estée Lauder Companies Inc. is seeking a Data & AI Product Manager, Digital to lead strategy, development, and evolution of enterprise data, analytics, and AI products enabling faster, more informed decision making across the organization.

You will build foresight capabilities and AI-powered insights, transforming complex data into scalable business intelligence, collaborating with business, data, AI, engineering, and UX teams to deliver lifecycle-managed products.

Qualifications

• 6+ years in data/analytics product roles incl enterprise products.
• 3+ years direct product mgmt; strategy, roadmap, delivery, adoption.
• Experience with enterprise data, BI, or AI-enabled products.
• Strong knowledge of SQL, cloud data platforms, data pipelines, APIs.
• Experience with Looker, Power BI, or similar BI tools.
• Experience with GenAI, conversational analytics, or AI-enabled products.

Responsibilities

• Own multi-year product vision, strategy, and roadmap.
• Translate priorities into scalable product capabilities.
• Drive AI-enabled insights, anomaly detection, and automation.
• Lead cross-functional delivery across engineering, analytics, UX.
• Define success metrics and monitor business impact.

Skills

Data product mgmt

Enterprise product

Stakeholder mgmt

Executive communication

Analytics strategy

AI/GenAI experience

Data collaboration

Product leadership

Cross-functional leadership

Tools

SQL

Looker

Power BI

Databricks

GCP

Python

Job description

The Estée Lauder Companies Inc. is seeking a Data & AI Product Manager, Digital to lead strategy, development, and evolution of enterprise data, analytics, and AI products enabling faster, more informed decision making across the organization.

You will build foresight capabilities and AI-powered insights, transforming complex data into scalable business intelligence, collaborating with business, data, AI, engineering, and UX teams to deliver lifecycle-managed products.