Company Name:-
The Estée Lauder Companies

Job Location:-
New York, NY

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionResponsible 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 develo

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details