Data Steward - Lead

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Data Steward Lead

Roche India - Roche Services & Solutions

Hyderabad

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Healthcare is evolving, and Global Procurement (GP) is responding by continuously striving for the highest possible performance, taking innovative and strategic approaches to business and supplier partnerships. Global Procurement proactively manages the supplier ecosystem, making a vital contribution to improving health outcomes, reducing costs for patients and global healthcare systems, and ensuring that Roche continues doing now what patients need next.

The Opportunity

This role sits within the Enablement Chapter, in Global Procurement Analytics & Insights, where we drive operational and financial effectiveness by delivering trusted data, actionable insights, stronger performance management, and robust decision support for GP leadership and chapters.

As Data Steward Lead, you will play a senior role in shaping how Global Procurement defines, governs, documents, validates, and uses its critical data products.

You will act as the data stewardship lead for priority procurement data products, ensuring that business definitions, metadata, lineage, data quality expectations, ownership, access requirements, and usage guidance are clear, trusted, and consistently applied. You will work closely with procurement, finance, governance, informatics, data engineering, analytics, and business stakeholders to improve trust in critical metrics such as spend, savings, supplier, category, contract, and sustainability data.

This is a senior stewardship and data product governance role. You will connect business meaning with technical implementation, helping ensure that data products are not only built, but also understandable, reusable, well-governed, and fit for decision-making.

Responsibilities include

• Leading data stewardship for priority Global Procurement data products, including business definitions, metric logic, ownership, metadata, lineage, data quality expectations, and approved usage.

  
  

• Defining and maintaining data product standards and data product contracts, including product purpose, data grain, source dependencies, business rules, ownership, service expectations, and release-readiness criteria.

  
  

• Partnering with business owners and domain experts to resolve conflicting metric definitions and align on certified business logic for critical procurement data products.

  
  

• Working with data engineering teams to translate business rules into governed data products using modern data platforms and tools such as Snowflake, dbt, GitLab, and related data engineering practices.

  
  

• Ensuring that production-grade data products are properly documented and registered in enterprise cataloging tools such as Collibra, including technical metadata, business glossary terms, ownership, stewardship, and lineage.

  
  

• Supporting data access and policy alignment in partnership with governance, informatics, and security teams, including Role-Based Access Control (RBAC), Immuta-enabled policy controls, masking requirements, and Personally Identifiable Information (PII) handling where applicable.

  
  

• Leading data quality issue triage for critical data products by identifying root causes, coordinating resolution, tracking open risks, and escalating issues that may impact leadership reporting or business-critical decisions.

  
  

• Helping embed stewardship into the data product lifecycle, including intake, requirements clarification, Definition of Done, change control, release readiness, cataloging, and ongoing product support.

  
  

• Supporting the transition from legacy reporting logic, manual workflows, and dashboard-level calculations into governed, reusable data products.

  
  

• Coaching colleagues and stakeholders on data stewardship practices, business glossary quality, metadata standards, documentation discipline, and responsible data usage.

  
  

Who you are

• You hold a university degree in Information Management, Data Science, Business Analytics, Computer Science, Information Systems, Engineering, Business Administration, Supply Chain, Procurement, Finance, or a related field.

  
  

• You have significant 7+ years of experience in data stewardship, data governance, data management, analytics, metadata management, data quality, business analysis, or data product delivery.

  
  

• You have strong understanding of how data moves from source systems into analytical products, dashboards, and business decision-making.

  
  

• You can translate between business definitions, data models, quality rules, access requirements, and downstream reporting needs.

  
  

• You have strong Structured Query Language (SQL) literacy and can investigate data issues, joins, grain, duplicates, mappings, reconciliation gaps, and metric logic.

  
  

• You have experience defining or supporting data dictionaries, business glossaries, metadata, lineage, data quality rules, data ownership, and usage documentation.

  
  

• You are familiar with modern data platforms and tools such as Snowflake, dbt, GitLab, Collibra, Immuta, Tableau, Power BI, Alteryx, or similar technologies.

  
  

• You can operate independently in ambiguous situations, structure complex problems, and drive alignment across business, governance, and technical teams.

  
  

• You have strong stakeholder management skills and can influence teams without direct authority in a global, cross-functional environment.

  
  

• You communicate clearly in English, both verbally and in writing, and can explain complex data topics in simple business language.

  
  

Preferred

• Certification or training in data management, data governance, Snowflake, Collibra, DAMA / Certified Data Management Professional (CDMP), procurement, supply chain, or analytics is a plus.

  
  

• Knowledge of Data Mesh, data product management, data contracts, semantic layers, Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, or enterprise data governance frameworks.

  
  

• Experience with data privacy, security, classification, or access-control requirements in a large global organization.

  
  

• Experience supporting data migration or modernization from legacy reporting environments into governed cloud data platforms.

  
  

• Experience in procurement, supply chain, finance, spend analytics, savings, sourcing, contracts, supplier data, category management, or sustainability data.

  
  

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.