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The Estée Lauder Companies Inc.Posted 30+ days ago

Data & AI Product Manager

Full-time
On-site
6+ years
Competitive
Posted 30+ days ago

The Estée Lauder Companies Inc. is seeking a Data & AI Product Manager, Digital, to lead enterprise data, analytics, and AI products that improve business decision-making. The role owns product strategy and the full lifecycle while partnering with business, engineering, data, AI, architecture, UX, governance, and vendor teams to deliver scalable insights, automation, and decision-support capabilities.

Posted
30+ Days Ago
Source
elcompanies.eightfold.ai
Sector
Product

Opens the employer's application page in a new tab

Responsibilities

  • Own the **multi-year product vision, strategy, roadmap, and prioritization** for strategic enterprise data, analytics, and AI products
  • Translate enterprise and Digital priorities into scalable product capabilities that improve how leaders and teams access insights and make decisions
  • Identify opportunities to evolve traditional reporting and analytics into **AI-powered intelligence and decision-support products**
  • 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 the evolution of product capabilities including **AI-enabled experiences, conversational analytics, automated insight generation, anomaly and opportunity detection, intelligent harmonization, and decision support**
  • Partner with Data Science, AI, Engineering, and business teams to identify high-value AI use cases and translate them into scalable product capabilities
  • 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
  • Serve as the bridge between business users and technical teams, ensuring products solve meaningful business problems rather than simply deliver technical functionality
  • Orchestrate delivery across **Product, Data Engineering, Analytics, Data Science/AI, Architecture, UX, business teams, governance functions, and strategic vendors**
  • Establish clear ownership, decision rights, dependencies, milestones, and escalation paths across complex enterprise initiatives
  • Manage strategic vendors and partners where required while maintaining clear internal ownership of product strategy and outcomes
  • Define product success measures spanning **adoption, engagement, data quality, reliability, efficiency, user experience, decision impact, and measurable business value**
  • Drive adoption through stakeholder engagement, enablement, change management, documentation, and continuous product improvement
  • Ensure product investments are connected to measurable business outcomes rather than delivery milestones alone

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
  • 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**
  • 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

Preferred

  • 3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption
  • 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

Required skills

APIsBusiness IntelligenceData ModelingData PipelinesDatabricksExecutive CommunicationGCPLookerProduct Strategy and RoadmappingPythonSQLStakeholder Management

Nice to have

2026-10-042026-10-072026-10-083.8AI ToolsBuild Cover LetterCompany data provided byCustomize Your ResumeGlassdoorGlobal Cosmetics NewsHindu Business LineJane HudisLate StageLeadership Team

Full job description

The Estée Lauder Companies Inc. is seeking a Data & AI Product Manager, Digital, to lead enterprise data, analytics, and AI products that improve business decision-making. The role owns product strategy and the full lifecycle while partnering with business, engineering, data, AI, architecture, UX, governance, and vendor teams to deliver scalable insights, automation, and decision-support capabilities.

Responsibilities

  • Own the **multi-year product vision, strategy, roadmap, and prioritization** for strategic enterprise data, analytics, and AI products
  • Translate enterprise and Digital priorities into scalable product capabilities that improve how leaders and teams access insights and make decisions
  • Identify opportunities to evolve traditional reporting and analytics into **AI-powered intelligence and decision-support products**
  • 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 the evolution of product capabilities including **AI-enabled experiences, conversational analytics, automated insight generation, anomaly and opportunity detection, intelligent harmonization, and decision support**
  • Partner with Data Science, AI, Engineering, and business teams to identify high-value AI use cases and translate them into scalable product capabilities
  • 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
  • Serve as the bridge between business users and technical teams, ensuring products solve meaningful business problems rather than simply deliver technical functionality
  • Orchestrate delivery across **Product, Data Engineering, Analytics, Data Science/AI, Architecture, UX, business teams, governance functions, and strategic vendors**
  • Establish clear ownership, decision rights, dependencies, milestones, and escalation paths across complex enterprise initiatives
  • Manage strategic vendors and partners where required while maintaining clear internal ownership of product strategy and outcomes
  • Define product success measures spanning **adoption, engagement, data quality, reliability, efficiency, user experience, decision impact, and measurable business value**
  • Drive adoption through stakeholder engagement, enablement, change management, documentation, and continuous product improvement
  • Ensure product investments are connected to measurable business outcomes rather than delivery milestones alone

Preferred

  • 3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption
  • 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
  • 3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption.
  • Product Management
  • Product Strategy
  • Roadmap Prioritization
  • Requirements Delivery
  • GCP
  • Databricks
  • Python
  • Looker
  • Power BI
  • Analytics Platforms
  • GenAI
  • Conversational Analytics
  • AI Agents
  • Automated Insights

Company

  • Luxury skin care, makeup, fragrance, and hair care products
  • New York, New York, USA
  • https://www.elcompanies.com/en
  • Founded in 1946
  • 10001+ employees

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
  • 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**
  • 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
  • 3+ years of direct product management experience preferred, including responsibility for product strategy, roadmap, prioritization, requirements, delivery, and adoption
  • 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
  • 6+ years of experience across **data/analytics product management, digital product management, analytics, data strategy, or related roles**, including experience owning complex enterprise products.

Required skills

  • APIs, Artificial Intelligence and Machine Learning, Business Intelligence, Data Modeling, Data Pipelines, Data and Analytics Product Management, Databricks, Executive Communication, GCP, Looker, Product Strategy and Roadmapping, Python, SQL, Stakeholder Management

Preferred skills

  • 2026-10-04, 2026-10-07, 2026-10-08, 3.8, AI Tools, Analyze How Well You Fit, Build Cover Letter, Company data provided by, Customize Your Resume, Executive Vice President and Chief Brand Officer, Glassdoor, Global Cosmetics News, Hindu Business Line, Jane Hudis, Late Stage, Leadership Team, Luxury skin care, makeup, fragrance, and hair care products., Make your application stand out, Marketing Dive, Maximize your interview chances, New York, New York, USA, President and CEO, Recent News, Stéphane de La Faverie, Sunday Business Review: Jobs & People, Understand your strength & weakness, https://www.elcompanies.com/en

Experience

  • 6+ years

Job details

Employment type

Full-time

Seniority level

6+ years

Sector · Sub-sector

Product · Product Management

Date posted

Oct 13, 2026

Work mode

On-site

Job source

elcompanies.eightfold.ai

Company

The Estée Lauder Companies Inc.

Product

Luxury skin care, makeup, fragrance, and hair care products

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