ED, Data & AI, Enterprise

Estée Lauder Companies•, NY

8d•$177,100 - $304,500

About The Position

The Executive Director, Enterprise Data & AI Product Lead, drives the design, delivery, and measurable business impact of data and AI products that power our employees and corporate functions like Finance, HR, Legal, Technology, and Communications. This executive is accountable for transforming strategy into execution, building, scaling, and optimizing data, analytics, and AI solutions that enhance workforce productivity, financial performance, enterprise risk management, operational efficiency, and decision intelligence. The ED leads a global product organization responsible for setting the strategy, defining the roadmap, and delivering high-impact data and AI capabilities that enable end-to-end functional excellence. Every initiative must tie directly to business outcomes, operational effectiveness, and enterprise-wide KPIs. In addition to execution excellence, the ED acts as a senior partner to CFO, CPO, General Counsel, and Technology leadership, ensuring data and AI initiatives are aligned with functional strategies, capital allocation priorities, and global process transformation goals. The role requires a blend of strategic product leadership, domain expertise across corporate functions, and technical fluency in enterprise systems and data architectures.

Requirements

12–15+ years of progressive experience in enterprise data, analytics, AI, or product leadership roles.
Deep understanding of corporate function data ecosystems and processes, including HRIS, ERP workforce planning and talent intelligence, financial planning and forecasting, enterprise risk and compliance, productivity, and digital workplace enablement.
Technical fluency across modern data platforms, cloud architectures, integration frameworks, and automation technologies.
Experience building and leading global teams and driving cross-functional digital, data, or AI transformation initiatives.
Experience owning enterprise data strategy, including data architecture, data modeling, metadata, semantic layers, and data quality frameworks.
Experience deploying AI at scale across Finance, HR, Legal, or Technology environments.
Technical fluency in data platforms, integration frameworks, and modern cloud-based architectures (e.g., Azure, Databricks).
Proficiency in Agile and product-centric delivery methodologies.

Responsibilities

Define and own the multi-year Enterprise Data & AI product vision and roadmap, aligned to Finance, HR, Legal, Technology, and corporate priorities.
Serve as the primary Data & AI strategic partner to C-suite functional leaders, embedding intelligence, automation, and predictive insights into enterprise planning and performance processes.
Act as the data and AI owner for core enterprise functions, spanning: HR: workforce planning, talent intelligence, employee experience, and organizational analytics; Finance: forecasting, planning, performance management, and financial risk modeling; Legal & Compliance: contract analytics, policy intelligence, audit and regulatory insights; Technology: productivity analytics, automation platforms, service intelligence, and digital workplace enablement; Communications: employee engagement intelligence, sentiment analytics, and enterprise communication effectiveness insights; Enterprise Operations: KPI frameworks, executive dashboards, and cross-functional performance analytics.
Maintain fluency in the functional landscape and relevant enterprise platforms such as SAP, ServiceNow, HRIS, financial planning systems, and corporate risk platforms, while partnering with platform owners to ensure data and integration readiness.
Represent Enterprise Functions in enterprise forums, governance bodies, and investment reviews to align business and data priorities globally.
Translate data and AI strategies into defined OKRs, financial impacts, and P&L outcomes.
Collaborate with emerging technologies team to assess opportunities to introduce new capabilities into the Enterprise Function roadmap.
Lead the end-to-end delivery of the Enterprise Data & AI product portfolio, including: Workforce analytics and talent intelligence; Financial forecasting, risk modeling, and decision-support tools; Productivity insights, automation platforms, and digital workplace AI; Legal/Compliance analytics, policy intelligence, and contract analytics; Integrated enterprise dashboards and KPI frameworks.
Oversee prioritization, funding, and execution across global and regional roadmaps.
Own the end-to-end data architecture and data quality strategy for all Enterprise Function datasets, ensuring availability, trust, and readiness for analytics and AI.
Oversee the development, deployment, and lifecycle management of AI/ML models, forecasting engines, agent-based automation, dashboards, insights tools, and internal analytics applications.
Lead and develop a high-performing team of Data & AI Product Managers and Data Analytics experts.
Partner with the Build Organization (Engineering, AI/ML, Platforms) to align technical architecture, secure resourcing, ensure delivery excellence, and drive speed to value.
Establish processes to measure ROI, adoption, and value creation for all delivered products.
Act as the Data & AI lead within Finance, HR, Legal, and Technology leadership forums, guiding prioritization across competing demands and global transformation initiatives.
Strengthen collaboration across Corporate Functions, IT, Security, Strategy, and Regional Operations.
Champion enterprise-wide adoption of AI-enabled tools, decision intelligence, and predictive analytics.
Lead change management, training, and communication programs that build trust, adoption, and organizational readiness for enterprise AI.
Serve as an advocate for ethical, compliant, and responsible AI, particularly in workforce, finance, and risk domains.
Ensure adherence to enterprise data governance, privacy, and security standards.
Manage domain budgets, resource allocation, and OKRs in coordination with enterprise strategy and finance teams.
Establish transparent reporting for leadership, including product performance dashboards, delivery milestones, and realized business impact.
Partner with Governance, Architecture, and Strategy & Ops to continuously evolve operating models, tooling, and delivery maturity.