Director of Quality Business Intelligence and Analytics at Estée Lauder

Director of Quality Business Intelligence & Analytics

Job Number: 220669

Brand: Este Lauder Companies

Job: Quality Assurance – Supply Chain

Primary Location:Americas-United States

Schedule: Full-time

Shift: 1st (Day) Shift

Job Type: Standard


There is the opportunity to work remote anywhere within the US.

The Director Quality Business Intelligence & Analytics is a critical role in driving Estee Lauder’s Quality organization performance through designing and delivering a robust global, cross-functional quality analytics strategy. This role will craft a vision and direction for quality BI and analytics that matches our maturity, corporate and functional strategy and goals, and will execute on that vision. The Director will build a high performing, responsive program that can gather and synthetize data quickly and accurately and translate it into actionable and proactive insights and recommendations.

BI & Analytics Framework Development & Maintenance (40%)
Partner with quality and business leadership across the organization to craft and refine a vision for quality data analytics and governance at all relevant levels of the organization to provide real-time insight into GxP compliance, process performance, and resource utilization
Set the strategic vision for and drive development and maintenance of data models, reporting systems, data automation systems, dashboards, descriptive, investigative, and predictive analytics, and performance metrics to support quality delivery and organizational decision-making
Collaborate with IT BI & Analytics team to design a scalable, stable backend database platform and provide ongoing technical support
Define and drive a structured and nimble approach for ongoing and timely translation of data into actionable insights that drive continuous quality improvement.
Define a strategic framework for leveraging AI, machine learning, and other techniques to efficiently deliver analyses and reports
Manage and lead a team, defining and delivering an operational model that appropriately considers organizational needs and business strategies
Develop and foster peer, cross-functional relationships to maximize team effectiveness

BI & Analytic Projects (30%)
Bring reporting products from conception to launch, define requirements, create a roadmap and work with developers to build and launch
Consult with internal teams/stakeholders to gather reporting requirements
Interpret and present data in formats that are easy to understand
Develop easy-to-use / automated KPI frameworks/dashboards and reports to support business decision making by working close with the Manager pf Quality Tools & Technology

KPI Analysis (15%)
Analyze KPIs to identify trends, summarize performance and provide other insight to inform Quality strategy
Identify continuous improvement opportunities through analysis of KPIs and other data to support all Quality (R&D QA, Brand QA, Compliance, sites/regions, etc.)

External Benchmarking, Best Practices & Consumer Intelligence (10%)
Establish ELC as a thought leader in quality data analytics via relevant industry forums
Closely monitor industry developments and proactively engage with external analytics experts to design best-in-class analytical concepts and models supporting effective and efficient quality and operational delivery in a regulated environment and consumer intelligence
Map internal and external stakeholders against benchmarks and best practices

Provide input into strategic plans based on findings from competitor benchmarking, best practices and consumer intelligence

Organizational Data Analytics Proficiency (5%)
Develop data analytics and data literacy as a core competency across the organization via the development and delivery of a comprehensive training program
Collaborate with the Training & Capabilities manager to establish a mid-and-long-term training roadmap and budget to support reporting and analytical needs of the organization


Bachelor’s degree
8+ years of technical experience
10% travel
Demonstrated ability to turn data into information that helps drive decisions
Expertise in data analytics
Expertise in mining data for quality insights for product and process improvement opportunities
Highly skilled in data modeling, leveraging analytical languages and tools
Strong data visualization skills and experience with relevant tools (e.g. Power BI, and/or Tableau).
Knowledge and experience of end-to-end supply chain, preferably within Quality and/or Manufacturing
Collaborate with both internal and external organizations
Strong oral, written and presentation skills with ability to explain complex concepts clearly to a variety of audiences

We are an equal opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. It is Company’s policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. The Company will endeavor to provide a reasonable accommodation consistent with the law to otherwise qualified employees and prospective employees with a disability and to employees and prospective employees with needs related to their religious observance or practices.