Description
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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Multi-Family Data Analytics & Computational SciencesJob Category:
People LeaderAll Job Posting Locations:
Leeds, West Yorkshire, United KingdomJob Description:
DePuy Synthes is recruiting for a Manager, Analytics & Reporting, located in Raynham, MA; West Chester, PA; Palm Beach Gardens, FL; Warsaw, IN; Zuchwil, Switzerland OR Leeds, UK.
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-091239
Zuchwil, Switzerland - Requisition Number: R-092038
St. Anthony's Road, Leeds, UK - Requisition Number: R-092043
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
The Manager, Reporting & Analytics, is the business process owner responsible for converting enterprise risk data into actionable intelligence that supports informed decision-making and proactive risk management. This role consolidates risk information across functions, defines and monitors key risk and performance indicators (KRIs/KPIs), and delivers executive and operational dashboards that reveal the organization’s risk profile, emerging trends, and mitigation effectiveness.
A high-impact position, it partners closely with cross-functional stakeholders to translate complex data into practical recommendations, increase visibility into performance, and advance strategic initiatives that boost efficiency, resilience, and service across the end-to-end supply chain.
Key Responsibilities
Lead the development, governance, and continuous improvement of Enterprise Riks Management reporting and analytics frameworks to support strategic and operational decision‑making.
Develop, monitor, and report KRIs and KPIs to measure risk exposure, control effectiveness, and organizational resilience.
Consolidate and analyze risk data across business functions, including Supply Chain, Operations, Quality, Compliance, Finance, and IT.
Ensure data integrity, consistency, and standardization across reporting solutions by establishing governance, controls, and best practices.
Design and maintain executive-level and operational dashboards that provide clear, data-driven insights into risk trends and emerging threats.
Identify patterns, correlations, and systemic risks to support risk-based decision-making and prioritization of mitigation activities.
Support risk reviews, board reporting, and strategic planning through advanced analytics and risk intelligence.
Qualifications
Education
Bachelor’s degree required, preferably in Business, Supply Chain, Engineering, Analytics, Data Science, or a related field.
Master’s degree (MBA or equivalent) preferred.
Experience and Skills
Required:
Minimum 5 years of progressive experience in reporting, analytics, business intelligence, or data‑driven roles, with demonstrated impact in a complex, global organization.
Strong experience developing executive‑level dashboards, performance metrics, and analytical insights.
Ability to translate complex data into clear, actionable insights for senior stakeholders.
Proven ability to partner cross‑functionally in a matrixed environment, including strategy, operations, and digital teams.
Preferred:
Experience supporting supply chain, operations, or transformation initiatives in a global or highly regulated environment.
Hands‑on experience with business intelligence and visualization tools (e.g., Power BI, Tableau, or similar).
Familiarity with data governance, standardization, and analytics best practices.
Experience supporting large‑scale change, transformation, or continuous improvement programs.
Strong communication, stakeholder management, and problem‑solving skills.
Other
Proficiency in English required
Travel: Up to 25%, domestic and occasional international.
Certifications: Analytics, data, or supply chain certifications preferred but not required.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
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.
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Required Skills:
Preferred Skills:
Advanced Analytics, Change Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Process Optimization, Relationship Building, Statistical Computing, Strategic Thinking