Estée Lauder Data & AI Product Manager

Role & 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
• Own the full product lifecycle across discovery, requirements, design, development, testing, launch, adoption, optimization, and lifecycle management
• 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
• Create alignment around product vision, priorities, scope, success measures, and roadmap across stakeholders
• Serve as the bridge between business users and technical teams, ensuring products solve meaningful business problems
• Orchestrate delivery across Product, Data Engineering, Analytics, Data Science/AI, Architecture, UX, business teams, governance functions, and strategic vendors
• 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

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

Skills

Experience

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. Experience operating across global, cross-functional, and highly matrixed organizations.

Education

Not specified

Workplace

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.