*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant’s IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Role Summary
Lead integrated planning, execution, and delivery coordination for the GMSx Manufacturing Workstream. This role will operate as both a Release Train Engineer (RTE) and Project Manager, connecting business stakeholders, manufacturing sites, product teams, Zoetis Tech & Digital (ZTD), and vendors to deliver priority capabilities in a coordinated, on-schedule, value-focused manner.
Key Responsibilities
Establish and manage the integrated workstream plan, release roadmap, delivery cadence, resources, milestones, dependencies, risks, action items and decisions.
Facilitate agile planning and execution across multiple teams, including program increment planning, cross-team ceremonies, retrospectives, and delivery reporting.
Coordinate stakeholders across Manufacturing, Quality, Training, Engineering, ZTD, Data Scientists, and site operations.
In conjunction with MES Program Leadership, oversee the MES of the Future implementation at the Kalamazoo site and coordinate the relevant Level 2 (L2) connectivity through the Manufacturing Data Fabric, recognizing these as critical dependencies for the workstream.
Ensure Golden Batch and Connected Worker/OEE initiatives remain aligned to business outcomes, operational priorities, governance, and implementation readiness.
Drive visibility and resolution of cross-functional dependencies, blockers, resourcing needs, and delivery risks.
Support evaluation and prioritization of PAT opportunities for both the Kalamazoo Use Case and three-year roadmap, including vendor interaction, stakeholder alignment, decision preparation (business value and project costs), and integration into the broader roadmap.
Produce concise executive-level status reporting, including progress against outcomes, decisions required, risks, and next steps.
Surface timely workstream status, milestones, dependencies, risks, and decisions to the PMO to support integrated program-level tracking and reporting.
Promote consistent agile ways of working while adapting delivery practices to the needs of a regulated pharmaceutical manufacturing environment.
Required Experience and Capabilities
Significant experience leading complex transformation programs or agile release trains in pharmaceutical manufacturing, biotechnology, or similarly regulated life-sciences environments.
Strong practical experience as a Release Train Engineer, Program Manager, Agile Program Lead, or equivalent role.
Demonstrated delivery experience involving manufacturing digitalization, MES, electronic batch records, manufacturing execution, shop-floor systems, OEE, connected worker, or industrial data platforms.
Familiarity with GMP, data integrity, validation/CSV principles, quality-system implications, and site implementation constraints.
Proven ability to lead senior stakeholders and resolve cross-functional delivery issues in a fast-paced environment.
Strong communication, facilitation, planning, and executive-reporting skills.
Preferred Experience
Direct experience with OEE, Golden Batch, process performance analytics, digital batch record transformation, PAT, or advanced manufacturing initiatives.
Experience supporting multi-site manufacturing rollouts or global operating-model implementation.
SAFe or comparable agile-at-scale certification and experience.
Compensation: - CAD 90,000 to CAD 120,000 + COLA and this position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 10/30/2026
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
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About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
