Lead – Data Quality and Automation

Johnson & Johnson Johnson & Johnson · Pharma · Bangalore, Karnataka, India +2

This role focuses on ensuring the integrity and accuracy of supply chain data within Johnson & Johnson's MedTech division. It involves establishing data quality standards, identifying and investigating data discrepancies, and developing data quality dashboards. A significant part of the role is driving AI and automation initiatives, including RPA and Python scripting, to streamline operations, reduce manual processes, and improve data reliability. The lead will collaborate with cross-functional teams to gather requirements and implement solutions, ultimately aiming to improve operational efficiency and support data-driven decision-making in a healthcare context.

What you'd actually do

  1. Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems
  2. Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting.
  3. Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, completeness, and accuracy over time.
  4. Identify manual, repetitive, and error-prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines).
  5. Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day-to-day supply chain operations.

Skills

Required

  • SQL
  • Python
  • Power BI
  • Power Automate
  • RPA
  • ETL
  • supply chain processes
  • master data domains

Nice to have

  • SAP S/4HANA
  • data governance frameworks
  • master data management (MDM) tools
  • cloud data platforms (Azure, AWS, or Snowflake)
  • Lean Six Sigma
  • project management certification

What the JD emphasized

  • supply chain data management
  • data quality
  • process automation
  • regulated industry