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.

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Johnson & Johnson is currently recruiting for a Senior Analyst- Data Quality & Automation to to be based in Mexico, Bogota, COL and Sao Paulo, BR. Consideration will also be given to Raritan, NJ.

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):

Raritan, NJ - Requisition Number: R-080485

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

About MedTech

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 the Role

This role will be responsible for ensuring the integrity, accuracy, and reliability of supply chain data while driving AI and automation 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, cross-functional role that directly enables better patient outcomes and operational excellence

Key Responsibilities

Data Quality Management:

• Establish, monitor, and enforce 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, completeness, and accuracy 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.

Cross-Functional Engagement:

• Engage with multi-functional teams across projects and critical initiatives to gather quality requirements, implement them and monitor for resolution.
• Partner with stakeholders to prioritize initiatives, align on outcomes, and communicate progress and impact.

Qualifications

Required:

• 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).
• Strong knowledge of supply chain processes and master data domains (material, vendor, customer, BOM, inventory).
• Proven ability to capture requirements and collaborate across diverse teams.

Preferred:

• Experience in a regulated industry (pharmaceutical, medical devices, or consumer health).
• Familiarity with SAP S/4HANA, data governance frameworks, and master data management (MDM) tools.
• Experience with cloud data platforms (Azure, AWS, or Snowflake).
• Lean Six Sigma or project management certification.

Core Competencies:

• Analytical competence and problem-solving approach with strong attention to detail.
• Strong communication and stakeholder-management skills.
• Ability to manage multiple priorities in a fast-paced operational environment.
• Bias for action, continuous improvement, and innovation.

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Preferred Skills: