Digital Acceleration Leader - Analytical & Decision Sciences

DuPont; Midland (MI); On-site; USD 180,000 - 240,000; Full time

Job summary

DuPont seeks a hands-on Analytical & Decision Sciences (ADS) Digital Acceleration Leader to drive data-driven innovation across R&D, manufacturing, and regulatory teams. The role focuses on transforming measurement science into structured, decision-ready data and scalable digital pathways.

The leader will collaborate with ADS, business units, and IT to accelerate project delivery, improve decision-making, and unlock value from historical data while building organizational capability in

Qualifications

• Bachelor's degree in a technical field; advanced degree preferred.
• Minimum 10 years applying digital tech, data science, automation, or structured data to solve challenges.
• Experience with LIMS, ELN platforms, connected laboratory technologies, automation workflows, or related data systems.
• Ability to lead and influence cross-functional teams in a matrixed organization.
• Proven ability to translate scientific and business needs into practical data and digital solutions.
• Strong learning agility and interest in AI/ML and advanced analytics.
• Excellent communication across scientific, business, IT, and leadership audiences.
• Willingness to travel up to 25%.

Responsibilities

• Develop pathways to convert measurement data into structured, reusable information within LIMS and other digital platforms.
• Lead integration of lab measurements into connected digital systems, including historical data capture.
• Collaborate with R&D, manufacturing, and regulatory teams to identify opportunities where structured data accelerates product development.
• Navigate complex challenges and drive implementation through influence.
• Advance automation across measurement science workflows, including data acquisition, analysis, and reporting.
• Apply data mining and digital technologies to extract value from data.
• Establish data standards and improve data fluency across laboratories and sites.
• Collaborate with IT and digital teams to deploy tools that connect workflows with enterprise capabilities.
• Provide hands-on leadership through coaching and knowledge sharing.

Skills

Digital leadership

Data science

AI/ML

LIMS/ELN

Cross-functional leadership

Education

Bachelor's in Chemistry/Engineering/Data Science

Advanced degree preferred

Tools

LIMS

ELN platforms

Automation workflows

Job description

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers

At DuPont, we are accelerating innovation by transforming measurement science into structured, decision-ready data. The Analytical & Decision Sciences (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 to translate scientific and business needs into practical data, automation, and digital solutions.
• Strong learning agility and interest in emerging technologies, including AI/ML, automation, digital science, and advanced analytics.
• Excellent communication skills with the ability to engage scientific, business, IT, and leadership audiences.
• Demonstrated success operating in ambiguous environments, establishing direction, and delivering measurable business impact.
• Ability to travel up to 25%

Additional Information

This position requires access to export-controlled technology, technical data or defense services, as such, employment will be contingent upon the candidate’s ability to access export-controlled technology, technical data or defense services as authorized pursuant to US regulation or an export authorization obtained by DuPont approved by the controlling US government agency

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