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Director, Digital Engineering
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The Estee Lauder Companies
Melville, NY (In Person)
Full-Time
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Job Description
- Long Description
- Connected Systems & Data Infrastructure
- Enable data sensing, acquisition, and analytics across the value chain to improve productivity, quality, and predictive capabilities.
- Establish data standards and governance frameworks for smart factory systems.
- Develop digital twins and simulation capabilities for process optimization.
- Architect and integrate end-to-end digital thread across ERP, MES, EBR, LIMS, and automation layers (PLC/SCADA).
- Ensure regulatory-compliant digital data flows (e.g., batch traceability, audit trails, and electronic signatures).
- Advanced Analytics & AI
- Enable predictive problem identification and performance optimization using real-time and historical data.
- Deploy machine learning models and analytics solutions to improve operational outcomes.
- Lead development and deployment of agentic AI systems capable of autonomous decision-making in manufacturing (e.g., self-optimizing processes, adaptive scheduling, intelligent deviation management).
- Implement AI-driven co-pilot systems for operators and engineers to enhance decision-making, troubleshooting, and continuous improvement.
- Digital Operations & Execution
- Identify and deploy digital capabilities to improve manufacturing efficiency, quality, and cost performance.
- Lead evaluation and management of digital software applications across manufacturing systems.
- Manage a portfolio of digital transformation projects aligned to global objectives.
- Oversee full lifecycle implementation of MES/EBR programs including requirements definition, system configuration, validation (CSV), and site rollouts.
- Drive adoption of paperless manufacturing and real-time release capabilities.
- Governance, Community & Collaboration
- Establish and sustain digital governance across the manufacturing and distribution network.
- Collaborate with vendors, engineering teams, and business stakeholders to deliver innovative solutions.
- Ensure training, adoption, and change management across sites.
- Establish and lead a Digital Manufacturing Community of Practice (CoP) across global sites to drive knowledge sharing, standardization, and scaling of best practices.
- Facilitate regular forums, workshops, and capability-building sessions to accelerate digital maturity across sites.
- Define standards for scalable, reusable digital architectures and ensure alignment across global sites.
- Success Metrics
- Number and scale of digital transformation initiatives delivered.
- Adoption rate of digital systems across the value chain.
- Measurable impact on productivity, quality, and cost performance.
- Successful deployment and adoption of MES/EBR across multiple sites.
- Quantifiable impact of AI-driven automation and autonomous decision systems on operational KPIs.
- Engagement and effectiveness of the Digital Manufacturing CoP (participation, reuse of solutions, speed of scaling).
- Qualifications
- Proven experience leading digital transformation initiatives in manufacturing environments.
- Strong background in project and program management for complex technical deployments.
- Deep expertise in MES (e.g., SepaSoft) and Electronic Batch Records systems.
- Experience implementing validated systems in regulated environments (e.g., GMP, FDA 21 CFR Part 11).
- Experience with / Interest in AI/ML and emerging agentic AI applications in industrial or manufacturing contexts.
- Strong stakeholder management experience working with senior manufacturing leadership and plant operations teams.