At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management:

Job Sub Function:

Multi-Family Technology Product & Platform Management:

Job Category:

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium, Ringaskiddy, Cork, Ireland

Job Description:

Job Description:

Engineering & Property Services is recruiting for a Manager, Digital Process Design (DPD), located in New Brunswick, New Jersey, Cork, Ireland&Beerse, Belgium.

About Med Tech

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

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):

• United States

• Requisition Number: R-068828

• Ireland & Belgium

• Requisition Number: R-069562

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

The Digital Process Design (DPD) Manager is accountable for the **end-to-end design, performance, and digital enablement of assigned E&PS business processes.**This role ensures processes are fit-for-purpose, data-driven, and AI-enabled, with clearly defined data capture standards, automation opportunities, and continuous improvement mechanisms. The DPD Manager acts as the liaison between business operations, digital product teams, and data/AI capabilities, ensuring process outcomes, data quality, and technology solutions are tightly aligned!

Key Responsibilities:

• Co-Own assigned E&PS business processes across their full lifecycle (design → implement → measure → innovate).

• Support and guide functional teams on their business processes, end-to-end. (design → implement → measure → innovate).

• Define and co-maintain process maps, controls, indicators, and success metrics.

• Lead process re-engineering initiatives, including simplification, standardization, and automation.

• Ensure processes are designed to be digital-first and AI-ready, not retrofitted.

• Define “data at source” requirements within business processes.

• Partner with Data Stewardship to ensure clear data definitions and standards, consistent data capture methods and high data quality with respect to completeness and timeliness

• Embed data quality controls directly into workflows and systems.

• Act as the process-side owner of critical data elements associated with the process.

• Identify and prioritize AI use cases within owned processes (e.g., forecasting, anomaly detection, predictive maintenance, workflow optimization).

• Collaborate with Data Science, Analytics, and Digital Product teams to translate business needs into **AI/analytics requirements,**validate AI outputs against real-world process performance, and ensure AI solutions are operationalized, trusted, and embraced by users.

• Work with Digital Product Owners to ensure technology solutions enable standardized data capture, scale across sites and regions, and integrate cleanly into the E&PS data ecosystem

• Serve as the single accountable owner for process performance.

Qualifications Education:

• Bachelor’s or equivalent university degree in Engineering, Data, Business, Digital, or similar is required.

• Master's or equivalent degree in Engineering, Data, Business, Digital, or similar is preferred.

Experience and Skills: Required:

• 6-8 years of proven track record in: Business process ownership or operational leadership and Digital transformation or data-enabled programs

• Validated ownership of end-to-end business processes (design → implement → measure → innovate), including process mapping, controls, indicators, and continuous improvement.

• Data-first mentality: define “data at source,” act as process-side owner of critical data elements and embed data-quality controls into workflows.

• Experience partnering with Data Science/Analytics and Digital/Product teams to identify/prioritize AI/analytics use cases and translate business needs into implementable requirements.

• Technical fluency with SQL and data concepts, plus hands-on familiarity with process-mapping tools (Visio/Lucidchart/BPMN) and BI tools for measurement.

• Practical experience defining automation opportunities (RPA, workflows, system integrations) and working with product/engineering to operationalize them.

• Strong customer management, change leadership, and clear interpersonal skills; accountable for measurable process outcomes.

Preferred:

• Experience in Engineering, Facilities, Manufacturing, or asset-intensive environments strongly preferred.

• Hands-on analytics/ML experience (prototyping in Python/R, model validation, operationalization).

• Experience with cloud data platforms and data governance (e.g., Snowflake/Databricks) and modern BI tooling (Power BI, Tableau).

• Direct experience with RPA/orchestration platforms (Ui Path, Automation Anywhere) and IoT/predictive maintenance for physical assets.

• Demonstrated ability in engineering, facilities/asset management, construction, or regulated/safety-critical environments.

• Proven track record to scale processes and digital solutions across multiple sites/regions and influence in large, cross-functional organizations.

Other:

• Proficiency (oral & written) in the English language is required

• This position requires up to 10% domestic and international travel

• Certifications such as Lean Six Sigma (Green/Black Belt), PMP, CBPP, or CDMP preferred.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers. Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills: Preferred Skills:

Budget Management, Business Architecture, Business Process Design, Business Savvy, Computer Programming, Developing Others, Human-Computer Interaction (HCI), Inclusive Leadership, Leadership, Motivating People, Platform as a Service (PaaS), Product Knowledge, Resource Allocation, Software Development Management, Strategic Change, Tactical Planning, Team Management, Technical Credibility