Data Governance Analyst (MS Purview)

convatec; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Convatec is building a data function with governance at its core. This role will drive cataloguing, lineage, and quality to ensure data is findable, traceable and trustworthy. You will engage data owners, stewards and engineers to publish standard definitions and enforce metadata standards.

Ideal candidates have 3+ years in Data Governance or related fields, hands-on Purview experience, and the ability to bridge business and technology to implement governance at scale.

Qualifications

• Typically 3+ years in Data Governance, Data Quality or Data Management in a large organisation.
• Hands-on experience with at least two: Business Glossary, Data Catalogue, Data Lineage or Data Quality.
• Experience with Microsoft Purview is desirable.
• Ability to bridge business and technology and translate governance needs into actionable controls.

Responsibilities

• Data Cataloguing and Metadata Management across enterprise domains.
• Capture and maintain end-to-end Data Lineage and publish insights for engineers and stakeholders.
• Translate business risk into data quality rules with automated checks and dashboards.
• Support governance framework, stewardship and adoption with clear guidance.
• Collaborate with data owners, stewards and IT to publish common definitions and standards.

Skills

Data governance

Data quality

Data management

Microsoft Purview

Data cataloguing

Data lineage

Stakeholder mgmt

Education

Bachelor's/Master's in CS/DS/IS/Engineering

Tools

Microsoft Purview

Job description

ConvaTec is building a data function and data governance is central to that build. This is a critical delivery role within it. This role will contribute to making Convatec's data findable, traceable and trustworthy.

About Role

1. Data Cataloguing and Metadata Management

   Build, populate and maintain the enterprise business glossary and data catalogue in Microsoft Purview (for example Finance & FP&A, Commerial, CRM, Supply Chain).

   Adminstor the tooling so catalogue does not decay after go-live.

   Engage data owners, stewards and subject matter experts to agree and publish common definitions for critical data elements, resolving conflicting versions to a single agreed source, and enforcing the metadata standards that make catalogue entries genuinely usable.

2. Data Lineage

   Capture and maintain end-to-end lineage for critical data elements across the full pipeline and documented in a form both engineers and business stakeholders can act on.

   Estalish change impact analysis so that upstream source change identifies and warns the affected downstream reports, models and consumers in advance.

3. Data Quality

   Work with business data owners and governance sponsors to translate business risk into testable data quality rules across the recognised dimensions, and implement them as automated, monitored checks with dashboards, agreed thresholds and a defined exception route.

   Profile data, lead root cause analysis on quality issues through to conclusion with measurable outcomes and manage data quality issues log end to end.

   Support the shift from reactive reconciliation to preventative controls applied at the point of capture or ingestion.

4. Governance Framework, Stewardship and Adoption

   Support the implementation of the data governance framework, policies and standards, producing clear, user-friendly documentation and guidance that the business will use.

   Help embed the ownership and stewardship model.

   Contribute to governance KPIs and KRIs.

About You

• Proven experience (typically 3+ years) in Data Governance, Data Quality, Data Management or a closely adjacent role in a large or complex organization.
• Demonstratable hands-on experience of at least two of: Business Glossary, Data Catalogue, Data lineage or Data Quality
• Experience with Microsoft Purview is desirable
• Practical experience implementing or configuring a data governance or cataloguing tool.
• Proven ability to bridge business and technology.

Desirable

• Experience working in S4/Hana or SAP environment
• Experience in a regulated industry
• Experience with dedicated data quality or observability tooling
• Exposure to master and reference data management

Education/ Qualifications

• Bachelor's or master's degree in a relevant field (e.g. Computer Science, Data Science, Information Systems, Engineering), or equivalent practical experience

Equal opportunities

Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.