Sr Supv Digital Quality

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: Quality Job Sub Function: Digital Quality Job Category: People Leader All Job Posting Locations: Warsaw, Masovian, Poland Job Description: Textio Lead – Data Quality and Automation Supply Chain Data Management | Johnson & Johnson Location: New Jersey Department: Supply Chain — Data Quality Hiring Manager: Kriti Bhardwaj, Director, Digital Strategy and Operations Employment Type: Full-time About the Role MedTech Supply Chain is recruiting for a Lead – Data Quality and Automation to join our Data Team. The position is based out of US/ EMEA/ LATAM. This role will be responsible for ensuring the integrity, accuracy, and reliability data while driving AI initiatives that streamline day-to-day operations. This role partners across different supply chain teams to gather requirements, identify process gaps, and design scalable, automated data quality solutions that improve operational efficiency and data-driven decision-making. This is a high-impact, multi-functional role that directly enables patient outcomes and operational excellence Key Responsibilities Data Quality Management Establish, monitor, and implement data quality standards, rules, and governance across supply chain systems Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting. Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, and completeness over time. Automation & Process Improvement Identify manual, repetitive, and error-prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines). Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day-to-day supply chain operations. Continuously evaluate emerging tools and technologies to enhance automation and analytics capabilities. Multi-functional Engagement Engage with multi-functional teams across projects and critical initiatives to capture quality requirements, implement them and supervise for resolution. Partner with team members to prioritize initiatives, align on outcomes, and communicate progress and impact.

Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field. 7+ years of experience in supply chain data management, or analytics, with a focus on data quality and process automation. Hands-on experience with data tools and automation platforms (SQL, Python, Power BI, Power Automate, RPA, ETL). Solid understanding of supply chain processes and master data domains (material, vendor, customer, BOM, inventory). Confirmed ability to assemble requirements and collaborate across teams with varied strengths. May require up to 10% domestic and/or international travel to other sites and locations Preferred Qualifications Experience in a regulated industry (pharmaceutical, medical devices, or consumer health). Familiarity with SAP S/4HANA, data governance frameworks, (MDM) tools. Experience with cloud data platforms (Azure, AWS, or Snowflake). Lean Six