Principle Optimization Engineer

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Location:Raynham Massachusetts United StatesLoughbegRingaskiddy Ireland

DePuy Synthes is recruiting fora(n)Principal Optimization Engineer.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings we recommend focusing on the specific country(s) that align with your preferred location(s):

• Raynham MA US - Requisition Number: R-071956
• Loughbeg Ringaskiddy Ireland - Requisition Number: R-073814

Remember whether you apply to one or all of these requisition numbers your applications will be considered as a single submission.

Johnson & Johnson announced plans to separate our Orthopedics business toestablisha standalone orthopedics companyoperatingas DePuy Synthes. The process of the planned separation isanticipatedto be completed within 18 to24 months subject to legal requirements including consultation with works councils and other employee representative bodies as may berequired regulatory approvals and other customary conditions and approvals. Should you accept this position it isanticipatedthat following conclusion of the transaction you would be an employee of DePuySynthesand your employment would be governed by DePuy Synthes employment processes programs policies and benefit that case details of any planned changes would be provided to you by DePuy Synthes atan appropriate timeand subject to any necessary consultation processes.

Job Overview

As aPrincipalOptimizationEngineer you will lead the design and delivery of high-impact optimization and simulation capabilities. This means crafting algorithms and heuristics tailored to complex supply chain problems piloting solutions with business partners and scaling and deploying them across the enterprise to unlock improvements in supply chain experience effectiveness and efficiency. Core solution areas include end-to-end optimization multi-echelon inventory optimization (MEIO) production planning capacity management network modeling simulation and digital twin technologies. You will report to the Director of Digital Strategy & Deployment.

In this role you will partner closely with global supply chain leaders in-house AI anddatascientists data engineers and product management teams bridging the gap between advanced analytical methods and real-world operational impact.

Key Responsibilities

• Define and own the operations research strategy and solution roadmap spanning optimization simulation and digital twin to address unmet supply chain needs aligned with DePuy Synthes strategicobjectives. Lead the full solution lifecycle: frame the problem develop andvalidatemodels pilot with business partners then scale and deploy solutions that drive measurable improvements in supply chain experience effectiveness and efficiency.

• Partner with supply chain business leaders across DePuy Synthes functions including manufacturing quality procurement planninglogistics and customer experience toidentify prioritize and frame complex problems amenable to analytical solutions. Effectively manage communication of execution timelines and performance with customer senior leaders and other key stakeholders

• Craft novel algorithms heuristics and modeling frameworks to solve high-complexity supply chain problems including end-to-end optimization multi-echelon inventory optimization (MEIO) network modeling simulation and digital twin and own deliverables end to end.

• Conduct strategic build vs. buy analysis -leaddetailed financial operational and technical analysis to evaluate in-house vs. external development. Ability to assess strategic implications of these sourcing decisions considering factors such as cost quality speed-to-market and long-term business goals.

• Incorporate AI/ML techniques including machine learning Generative AI and Agentic AI where they strengthen or complement core operations research solutions enabling more adaptive and intelligent decision-support capabilities.

• Develop and monitor success metrics tied to adoption operational impact and realized savings ensuring solutions deliver quantifiable business value and continue to perform at scale.

• Collaborate with data scientists data engineers full-stack developers and product management teams to produce sustainable reusable solutions backed by comprehensive documentation and user training reducing technical debt and enabling broad organizational adoption.

• Drive innovation of next-generation supply chain methods staying at the forefront of the operations research literature and translating emerging techniques into practical deployable solutions.

Qualifications

Education:

• Masters or Ph.D. (preferred) in Operations Research Industrial Engineering Applied Mathematics or a related technical discipline is strongly preferred.

Experience and Skills:

Required:

• 6 years of progressive work experience in operations research supply chain modeling or advanced analytics witha track recordof designing developing and deploying optimization and simulation solutions in complex operational environments.

• Experience incubating andproductionalizingnew analytical capabilities working closely with data engineers data scientists and technical teams from idea generation through implementation.

• Deepexpertisein mathematical modeling algorithm design and heuristic development for large-scale supply chain problems including network optimization inventory optimization and scheduling.

• Significant hands-on experience with optimization engines such as CPLEXGurobi FICO Xpress and Lyric

• Hands-on experience with discrete-event and continuous simulation platforms such as SimioFlexSimAnyLogicSimPy or Arena; familiarity withadditionalsimulation environments is a plus.

• Proficiencyin one or more programming languages Python R Julia or equivalent isrequired; experience building production-grade analytical solutions is a strong plus.

• Strong working knowledge of AI/ML techniques including machine learning deep learning Generative AI and Agentic AI and the ability to integrate these methods into operations research solutions whereappropriate.

• Strong knowledge of data science statistical modeling and visualization tools including decision trees neural networks clustering regression and data mining techniques.

• Demonstratedexpertisein supply chain modeling across planning procurement manufacturinglogistics and customer fulfillment including deep understanding of supply chain fundamentals inventory theory BOM structures lead times demand planning

• Experience engaging with and managing university and research institution partnerships including co-developingmethodologiesand translating academic research into applied solutions is a plus.

• Demonstrated success in creative problem solving with proven ability to work cross-functionally build partnerships and influence change across a large complex organization.

• Strong business acumen able to assess the mostappropriate analyticalapproach given business requirements constraints and trade-offs.

• Demonstrated ability to develop business cases and track business benefits includingROI P&L savings cash flow impact and other key financial metrics.

• Self-starter with a hands-on approach to fast prototyping and a bias toward action in ambiguous fast-moving environments.

• Proven ability to manage and prioritize multiple competing projects and stakeholder demands in a deadline-driven environment.

• Excellent written and verbal communication skills including model documentation andanalysesanddemonstratedexperiencepresenting toand influencing senior leaders.

Preferred:

• Familiarity with supply chain domainswithin MedTechor similar industry

• Familiarity with tools like Jira and Confluence

• Experience at the OR/ML interface or experience applying ML/GenAI methods to enhance and improve optimization algorithms

• UX/UI design experience or familiarity partnering with UX/UI designers

• Familiarity with design tools such as Figma and Adobe XD

Other:

• Language: Englishproficiencyrequired.

• Travel: Up to 15% domestic travel.

• Lean Six Sigma Black Belt or equivalent preferred.

• APICS certification (CPIM CSCP) is a strong plus.

• For more information on how we support the whole health of our employees throughout their wellnesscareerand life journey please visit.

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Required Skills:

Preferred Skills:

The anticipated base pay range for this position is:

Benefits:

In addition to base pay we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location where the actual amount is based on the employees and companies performance of the previous calendar year or sales commissions. Moreover we offer vacation days parental leave for a minimum of 12 weeks bereavement leave caregiver leave volunteer leave well-being reimbursement programs for financial physical and mental health. We also offer service anniversary and recognition awards and subject to the terms of their respective plans employees - and in some locations eligible dependents - can participate in several insurance plans. For more information visit Employee benefits Supporting well-being & career growth Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.