Analytics & Automation Manager, DPS EMEA Supply Chain Planning

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 Job Function: Data Analytics & Computational SciencesJob Sub Function: Multi-Family Data Analytics & Computational SciencesJob Category: People LeaderAll Job Posting Locations: Courcelles, Hainaut, Belgium, Diegem, Flemish Brabant, Belgium, Zug, SwitzerlandJob Description: Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics 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. Analytics & Automation Manager, DPS EMEA Supply Chain Planning The Inventory Analytics Manager, DePuy Synthes Supply Chain Planning, EMEA (Europe, Middle East, Africa) is a critical leadership position to lead our efforts in enhancing the efficiency and effectiveness of our field asset and inventory utilization. This role is essential in maintaining and enhancing field inventory entitlement models, identifying actionable opportunities for supply chain improvements, and supporting the Regional Supply Chain team in aligning forecasts with commercial sales, profitability, and cash flow objectives. Major Responsibilities The key responsibilities of the Inventory Analytics Manager include: Enhance Analyses for Field Asset and Inventory Utilization: Create framework to integrate advanced analytical methods to understand and optimize the utilization of field assets and inventory in all its aspects into our operational processes. Maintain Field Inventory Entitlement models to accurately reflect current business needs and market trends. Conduct deep-dive analyses to identify trends, inefficiencies, and opportunities for improvement. Come up with innovative ways to execute on improvements and implement tools to do this using all types of new technologies available. Lead Automation & Analytics team: Develop and manage plan to automate analytics activities for asset management processes, manage automation & analytics team to expand and create automation as citizen developers. Oversee implementation and management of tools and automation during their lifecycle. Collaborating with EMEA Markets: Partner with team members in EMEA markets to incorporate the Voice of the Customer into our inventory and asset management strategies. Use these insights to develop and refine tools and methodologies that drive operational actions on inventory efficiency within these markets. Focus on translating these customer insights into actionable strategies that enhance inventory turnover, reduce waste, and drive service to our end customers. Supporting Regional Supply Chain Team: Work closely with the Regional Supply Chain team to develop and implement forecasts that align with commercial goals. Provide analytical support to ensure that supply chain strategies are effectively meeting business objectives. Infuse citizen developership into the team leading by example. Partner Engagement and Reporting: Regularly engage with Supply Chain, Commercial, and Finance partners to understand their needs and communicate insights. Prepare and present detailed reports and presentations to senior management, highlighting key findings and recommendations. Qualifications Bachelor or equivalent experience in Engineering or Science APICS certification (CPIM or CIRM) preferred. Master Business Administration or equivalent (Specialization in SC & Operations Management) preferred. Required experience Minimum five (5) years of relevant Supply Chain/Analytics experience. Experience leading and working with a multi-regional and multi-functional team in a global, highly cross-functional environment. Project management and Program development. E2E Supply Chain and Planning processes (Demand, Supply, and Inventory Management). Strong analytical skills with experience in statistical analysis, forecasting, and modeling. Proficient in data analysis tools (e.g., SQL, Python, R) and business intelligence software (e.g., Tableau, Power BI). Excellent communication and presentation skills, with the ability to translate complex data into actionable insights. Knowledge, Skills, and Capabilities Critical thinking – ability to develop and implement a comprehensive strategy that realizes functional and company goals. Superb interpersonal and communication skills (incl. to senior leadership) with the ability to adjust to the audience (business vs. technical, professionals vs. leadership) is required. Excellent ability to influence at all levels within the Supply Chain, Finance, and Commercial Organization. Ability to forge positive and productive relationships across functions. Working knowledge of financial processes. Ability to effectively lead projects, multiple priorities, and timelines. Ability to mentor and develop accountable, diverse, and global talent. High level of personal initiative, ability to function autonomously. Results Orientation – ability to deliver timelines. Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability. 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