- the Est e Lauder Companies
- $92,040.00 -130,990.00/year*
101 Nichter Rd
Responsible for leading the data science / analytics activity for Global E2E Engineering Org across all pillars. Establish overall Engineering data strategy inclusive of data sourcing / capture, segmentation, analytics (predictive & responsive), and leveraging. Demonstrate strategy to action identifying strategic and tactical opportunities which drive all aspects of value across networks, categories and brands (e.g. cost, cash, speed, agility, quality, industry & consumer insights and benchmarking). Work with stakeholders to evolve relevant BI dashboards which provide real time performance optimization capability and create visibility of systemic performance gaps / root causes. Inform strategic decisions and contribute to global Supply Chain strategy development based on data insights. Lead Data Analytics team. ? Working with senior leaders in R&D, Procurement, Planning, Manufacturing, Distribution, and Quality, define and inform engineering enabled Supply Chain strategies leveraging data insights and benchmarks ? Lead the data science / analytics activity for Global E2E Engineering Org across all engineering pillars ? Establish overall Engineering Data Strategy inclusive of data sourcing / capture, segmentation, analytics (predictive & responsive), and leveraging ? Establish data capture specifications and requirements for all Smart Factory / DC systems and equipment to maximize performance and analytics leveraging ? Work with stakeholders to develop simulation and modeling tools / capability (digital Twin) to support iterative process design and end to end process optimization ? Recognize & adopt best practices in reporting and analysis: data integrity, analysis, validation and documentation ? Demonstrate strategy to action identifying strategic and tactical opportunities which drive all aspects of value across networks, categories and brands (e.g. cost, cash, speed, agility, quality, industry & consumer insights and benchmarking) meet or exceed value realization / network optimization targets ? Manage strategic data segment delivering value meeting or exceeding value realization targets ? Leverage data mining, model building, and other analytical techniques to develop predictive models identifying and supporting strategic opportunities and data-driven decision-making ? Work with stakeholders to identify, manage, and evolve relevant BI dashboards which provide real time performance / KPI optimization capability and create visibility of systemic performance gaps / root causes ? Align systems and reporting globally to ensure efficiency in reporting and a single version of truth ? Drive leveraging of data analytics across all pillars developing appropriate interfaces and tools maintaining cyber security while simplifying self-serve data access and leveraging ? Lead internal / external cost and technology benchmarking activity through best practice identification and deployment; ensure integration into standards & policies Qualifications Specs & Experience Demonstrated value realization track record, Digital transformation success leveraging predictive/prescriptive analytics, supply chain / distribution operational roles KPIs Value delivered (Speed/Cost/Cash), Predictive/trend analytics SC/Network benchmarks, Data strategy & realization roadmap developed and deploying per plan, Global report standardization and aligned Engineering BI dashboards Preferred degree in Industrial Engineer with strong past experience in data analytics -Bachelor's degree -10% travel time -Minimum 10 years experience \\#LI-AS5 Job: Manufacturing - Supply Chain Primary Location: Americas-US-NY-New York Job Type: Standard Schedule: Full-time Shift: 1st (Day) Shift Travel: Yes, 10 % of the Time We are an equal opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. Job Number: 197854 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. Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact ...@estee.com.
Associated topics: business, cost efficient, industrial engineer, manufacturing engineer, methods engineer, project, sap, supply, supply chain
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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