Digital Acceleration Leader - Analytical & Decision Science
Job in
Midland, Midland County, Michigan, 48640, USA
Listed on 2026-08-05
Listing for:
DuPont
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Data Engineering
Job Description & How to Apply Below
** 08/03/20262개 지역에서 채용 중인 직무
* Wilmington, Delaware, United States of America
* Midland, Michigan, United States of America지금 지원듀폰은 필수적인 혁신을 통해 전 세계가 번영할 수 있도록 이바지하는 것을 목표로 삼고 있습니다. 우리는 중요한 사안을 해결하고자 노력합니다. 예를 들어 지구상 10억 명이 넘는 인구에게 깨끗한 물을 공급하거나, 스마트폰에서 전기차에 이르는 일상적인 기술 장치에 필수적인 소재를 생산하고, 전 세계 근로자를 보호하는 것 등이 우리가 생각하는 중요한 사안입니다.
세계 최고의 인재들이 듀폰을 직장으로 선택하는 수많은 이유를 알아보세요. 듀폰에 입사해야 하는 이유 | 듀폰 채용 DuPont, we are accelerating innovation by transforming measurement science into structured, decision-ready data. The Analytical & Decision Science (ADS) Digital Acceleration Leader will play a key role in advancing how DuPont leverages connected laboratory data, digital technologies, and AI/ML capabilities to drive innovation across R&D, Application Development, Manufacturing Technology, and Product Stewardship & Regulatory organizations.
This role is ideal for a hands-on scientific and digital leader with a proven ability to translate complex scientific data into actionable insights. The successful candidate will help establish the standards, workflows, and digital pathways needed to convert analytical and measurement science data into reusable, structured information within existing digital platforms, and apply that information to solve critical business and technical challenges.
Working closely with ADS, business innovation teams, and Information Technology (IT), this leader will accelerate project delivery, improve decision-making, and unlock greater value from both current and historical scientific data. Success in this role requires a combination of strategic vision, technical expertise, practical implementation experience, and the ability to influence across a highly matrixed organization. The individual will also help build organizational capability by advancing data-enabled measurement science and driving adoption of scalable, interoperable, and automated ways of working.
Responsibilities Develop and implement pathways that convert measurement science data into structured, reusable information within LIMS and other digital platforms to support innovation.
Lead the integration of laboratory measurements from ADS and business laboratories into connected digital systems, including the capture and utilization of historical data.
Partner with R&D, Application Development, Manufacturing Technology, and Product Stewardship & Regulatory teams to identify opportunities where structured data can accelerate the development of products, formulations, processes, and technical solutions.
Navigate complex technical and organizational challenges, identify practical solutions, and drive implementation through influence and collaboration.
Advance automation across measurement science workflows, including method development, data acquisition, analysis, interpretation, and reporting.
Apply data mining, data science, and digital technologies to extract value from current and historical scientific information.
Establish data standards and improve data fluency across laboratories, sites, and businesses to enable scalable and reusable solutions.
Collaborate with IT, digital teams, and laboratory automation resources to evaluate, pilot, and deploy tools that connect scientific workflows with enterprise digital capabilities.
Provide hands-on leadership through coaching, training, project engagement, and knowledge-sharing forums that build digital and data capabilities across the organization.
Qualifications Bachelor's degree in Chemistry, Chemical Engineering, Materials Science, Data Science, Computer Science, Engineering, or a related technical field;
Advanced degree preferred.
Minimum of 10 years of experience applying digital technologies, data science, automation, or structured data approaches to solve innovation, manufacturing, or technical service challenges.
Experience with LIMS, ELN platforms, connected laboratory technologies, automation workflows, or related scientific data systems.
Demonstrated ability to lead and influence cross-functional teams within a matrixed technical organization.
Proven ability…
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