Data Governance Technical Lead

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Job Summary

The Data Governance technical lead owns and matures data governance so that the Azure data platform, data, data science and AI/ML use cases are trusted, quality, compliant and auditable. They work with business data owners/stewards, IT security, architecture, engineering and analytics teams to embed governance into ways of working, tooling and technical delivery. Responsible for ensuring the data and analytics platform is secure and that data quality is continuously improved in the data platform.

Accountabilities

• Define and run data governance for the azure/purview platform.
• Author and maintain policies/standards for data quality, metadata, lineage, retention, privacy, and ethical data/AI usage within the data and analytics platform.
• Implement data quality management: critical data elements, rule sets, monitoring, issue management and remediation workflow within the azure platform.
• Drive master/reference data principles and alignment of definitions, KPIs and semantic standards across domains in the azure data platform.
• Partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness for the azure data platform.
• Own governance tooling and processes (catalogue, glossary, lineage, approvals) for azure in purview and ensure adoption.
• Support AI/ML governance for the data platform using azure and purview: model risk controls, data suitability checks, bias/ethical considerations, and monitoring.

Skills

• Strong knowledge and skills in data governance, data management and controls (DCAM/DAMA principles or equivalent).
• Hands‑on understanding and skills in metadata management, data catalogues, lineage, business glossaries and stewardship, data quality workflows.
• Data quality engineering delivery: profiling, rule design, monitoring, incident triage, root cause analysis.
• Privacy and regulatory technical implementation (e.g., GDPR) and practical implementation of PII controls and minimisation and other security and privacy measures in azure.
• Ability to translate between technical and business audiences; influence without authority.
• Experience embedding governance into delivery pipelines (CI/CD, data contracts, automated checks).
• Working knowledge of and experience in AI and machine learning and related controls in terms of technical governance delivery.

Qualifications and Experience

• Bachelor's degree in Data Analytics, Data Governance, Data Science, or a related field.
• Significant experience leading technical data governance and data management in Microsoft Azure.
• Proven track record establishing and delivering technical stewardship and improving data quality in a data and analytics platform using the latest tools.
• Extensive experience delivering hands on with modern Azure data platforms with multiple complex integrations and source systems (cloud data Lakehouse/warehouse patterns) and governance tooling (catalogue/lineage - specifically Microsoft Purview).
• Experience hands on in implementing Microsoft Purview across an Azure Data Platform with evidence improvements to data quality, standardisation of corporate services data in a global context.
• Relevant qualifications/certifications beneficial (e.g., DAMA/CDMP, DCAM, privacy certification), or equivalent experience.
• In depth knowledge and practical implementation of compliance frameworks and technical implementation to ensure platform compliance.
• Extensive practical technical implementation of international data standardization frameworks for harmonizing data definitions, taxonomies, and formats across regions.
• Experience in AI/ML, data science and analytics, platform led use cases embedding comprehensive technical governance.
• Experience automating governance through using the latest tools and technologies including AI/ML and data science.

At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.