Process Analysis & Adoption Specialist

Zoetis•Kalamazoo, MI

About The Position

Zoetis is the global leader in animal health, dedicated to nurturing our world and humankind by advancing care for animals. With over 70 years of expertise, we are committed to developing innovative solutions that span a continuum of care to predict, prevent, detect, and treat diseases in animals. Our inclusive workplace empowers colleagues to excel and make meaningful contributions every day, driving advancements in animal health and fostering a sustainable future. Zoetis Veterinary Medicine Research and Development (VMRD) is seeking a dynamic and motivated individual to lead and support process analysis, optimization, and adoption of transformative initiatives within R&D. As part of the Automation & Data Sciences (ADS) team, you will work closely with scientists to understand workflows, identify inefficiencies, and implement data, digital, and lab automation solutions in partnership with other ADS colleagues and our Zoetis Technology & Digital (ZTD) group. This role emphasizes collaboration, change management, and cross-functional innovation to enhance Zoetis' ability to deliver cutting-edge therapeutics, vaccines, biodevices, and diagnostics. Position Summary This position will require a highly motivated individual who can effectively collaborate with other team members across the organization to advance data, digital, and lab automation projects. The ideal candidate will lead and support the evaluation, optimization, and adoption of improved processes across functions. This individual will learn about and analyze scientists’ existing workflows and needs, recommend, and provide guidance on possible solutions to address gaps, and implement solutions in collaboration with scientists, lab automation/data specialists, business partners, data scientists, and Zoetis Tech & Digital. This role will also ensure successful adoption through training support and change management strategies, and the candidate should have a proven track record of driving process excellence and cross-functional collaboration. It is essential that the candidate possess excellent active listening and problem-solving skills, communicates effectively, is change agile, and can work both within a team and individually to deliver on objectives related to data, digital, and lab automation transformation.

Requirements

Bachelor’s degree (or equivalent) in biology, chemistry, computer programming, or a related field.
Minimum of 10 years’ experience in process analysis, improvement, and adoption within the life sciences sector.
Expertise in process optimization frameworks (Lean, Six Sigma, Agile)
Exceptional problem-solving and critical thinking skills, with demonstrated success in navigating ambiguous or dynamic environments.
Proven ability to engage and influence diverse stakeholders, resolve conflicts, and drive cross-functional alignment and collaboration.
Ability to manage multiple projects simultaneously while working independently or as part of a team with minimal supervision.

Nice To Haves

Lean Six Sigma certification preferred.

Responsibilities

Partner with interdisciplinary teams to assess workflows and drive process improvements in digital, data, and lab automation.
Act as a bridge between scientific teams, ADS technical teams (app developers, data modelers, data scientists), and ZTD, aligning transformation objectives and delivering integrated solutions.
Champion digital excellence through FAIR data practices and implementation of tools for seamless data capture, storage, integration, and visualization.
Develop and lead stakeholder engagement, communication strategies, and training programs to ensure smooth adoption of new processes.
Coordinate cross-functional activities, ensuring timely delivery of process enhancements and adoption milestones.
Define success metrics, track project progress, and refine processes based on performance insights and industry best practices.
Stay informed on cutting-edge trends and incorporate innovations into process improvement initiatives.
Train and mentor colleagues, fostering a culture of continuous improvement.
Document processes, solutions, and updates to maintain clear and accessible project history and accountability.