Senior Data & AI Product Manager - Digital

The Estée Lauder Companies Inc.

New York (NY)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

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

You will drive foresight capabilities, analytics infrastructure, and AI-powered insights to transform reporting into proactive decision support. You will own end-to-end product ownership across discovery to lifecycle management, collaborating

Qualifications

6+ years of experience across data/analytics product management, digital product management, analytics, data strategy, or related roles, including experience owning complex enterprise products.
3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption.
Demonstrated experience building or managing enterprise data, analytics, business intelligence, or AI-enabled products.
Strong understanding of modern data and analytics ecosystems, including SQL, cloud data platforms, data pipelines, semantic/data models, APIs, BI platforms, and AI/ML capabilities.
Technical familiarity with GCP, Databricks, SQL, and Python strongly preferred.
Experience with Looker, Power BI, or comparable business intelligence and analytics platforms preferred.
Experience with GenAI, conversational analytics, AI agents, automated insights, or AI-enabled enterprise products strongly preferred.
Strong understanding of data quality, governance, metadata, security, privacy, and responsible AI considerations within enterprise environments.
Demonstrated ability to translate ambiguous business problems and executive decision needs into clear product strategies and scalable technical capabilities.
Strong product judgment with the ability to prioritize across competing business needs, technical constraints, user experience, and long-term scalability.
Experience operating across global, cross-functional, and highly matrixed organizations.
Strong stakeholder management and executive communication skills, with the ability to influence without direct authority.
Highly analytical and comfortable defining and using product metrics to evaluate adoption, performance, and business value.
Strong written and verbal communication skills with the ability to communicate effectively across business, technical, and executive audiences.
Collaborative, curious, resourceful, and comfortable operating in an evolving environment where not all requirements or solutions are known upfront.

Responsibilities

Own the full product lifecycle across discovery, requirements, design, development, testing, launch, adoption, optimization, and transition/decommissioning.
Translate business needs into clear product requirements, user stories, acceptance criteria, and prioritized product backlogs.
Make product trade-offs across business value, user experience, technical feasibility, scalability, cost, and time-to-value.
Partner with engineering and architecture teams to ensure solutions are reliable, scalable, maintainable, and aligned with enterprise technology standards.
Drive evolution of AI-enabled insights, conversational analytics, automated insights, anomaly detection, and intelligent harmonization.
Establish appropriate human-in-the-loop workflows, transparency, validation, and monitoring for AI-generated insights.
Continuously evaluate emerging data and AI capabilities and determine where they can create meaningful business value.
Create alignment around product vision, priorities, scope, success measures, and roadmap.