IT&D Sr. Product Analyst, Data Governance

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

​Information Technology & Digital​

In IT and D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.

Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.

Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.

About the role

As a Senior Product Analyst, Data Governance you will spearhead the design, implementation, and continuous improvement of a global data governance framework within the IT Data & Analytics organization—extending our capabilities to modern AI and machine learning systems. You’ll partner closely with business leaders, data scientists, and IT teams to ensure our critical data assets and AI models are accurate, secure, explainable, and aligned with ethical and compliance standards. Your strategic vision will drive a data-driven, AI-enabled culture at Mead Johnson Nutrition, empowering decision-makers with trusted data and responsible AI solutions

Your responsibilities

Framework & Policy Development

• Define, document, and enforce enterprise-wide data governance and AI governance 
  policies, standards, and best practices.
• Lead the implementation and ongoing refinement of our DART-based governance 
  framework to support master data management, data lineage, metadata management, and 
  AI model lifecycle governance.

AI Model Risk & Quality Management

• Establish processes for AI model risk assessment, bias detection, and fairness monitoring.
• Implement continuous monitoring and validation of production AI models to detect drift, 
  ensure performance, and uphold ethical guidelines.

Data Quality & Compliance

• Oversee data quality initiatives: design monitoring metrics, identify issues, and drive 
  remediations to ensure consistency and reliability in both traditional data pipelines and ML 
  feature stores.
• Conduct privacy, regulatory, and ethical assessments (GDPR, HIPAA, AI Act, etc.) and 
  partner with legal/compliance to maintain adherence.

Stakeholder Engagement & Change Management

• Oversee data quality initiatives: design monitoring metrics, identify issues, and drive 
  remediations to ensure consistency and reliability in both traditional data pipelines and ML 
  feature stores.
• Conduct privacy, regulatory, and ethical assessments (GDPR, HIPAA, AI Act, etc.) and 
  partner with legal/compliance to maintain adherence.

Continuous Improvement & Innovation

• Oversee data quality initiatives: design monitoring metrics, identify issues, and drive 
  remediations to ensure consistency and reliability in both traditional data pipelines and ML 
  feature stores.
• Conduct privacy, regulatory, and ethical assessments (GDPR, HIPAA, AI Act, etc.) and 
  partner with legal/compliance to maintain adherence.

The experience we're looking for

• 5-7 years of experience in data governance, master data management, or related roles, with demonstrable experience extending governance into AI/ML systems.
• Hands-on expertise with data governance and AI governance platforms (e.g., Collibra, Informatica, MLflow Model Registry, WhyLabs) and familiarity with Data Governance Frameworks and tools implementation.
• Deep understanding of data privacy laws, regulatory frameworks (e.g. GDPR, HIPAA, EU AI Act), and AI ethics guidelines (fairness, transparency, explainability).
• Proven track record of developing and executing data governance and AI governance strategies aligned to business objectives.
• Strong change management and stakeholder engagement capabilities, with experience leading governance steering committees.
• Excellent communication and presentation skills—able to