[Hiring] Data Management Associate @Billigence

Role Description

We are looking for experienced Data Management Associates / Data Business Analysts to join a major client engagement supporting an enterprise Master Data Management and Data Enablement programme. This is a fully remote position.

You will join a dedicated Data Enablement function whose remit is to make trusted, well-governed and well-documented data available across the business. The role sits between the technical teams building data pipelines and the business teams consuming the outputs — hands-on with the data itself while owning the documentation, standards and metadata that let colleagues understand and rely on it.

This is a delivery-focused, individual contributor role with genuine ownership of data quality and stewardship across a set of assigned data domains.

What You'll Do

• Gather, analyse and document business, functional and data requirements through stakeholder workshops, interviews and collaborative sessions.
• Profile and analyse datasets to identify data quality issues — duplication, completeness, consistency and integrity gaps — and carry out root-cause analysis.
• Define and run validation and completeness checks, tracking data quality against agreed metrics and thresholds.
• Coordinate the resolution of data issues with source-system and engineering teams, cleansing, de-duplicating and reconciling records where required.
• Support the maintenance of master and reference data, applying agreed standards for key entities so data is consistent and comparable across systems.
• Act as domain data steward — the point of contact for what the data means, where it comes from and how it should be used.
• Maintain the data catalogue and business glossary, keeping definitions, ownership and business context accurate and current.
• Document data lineage and flows across source systems, stores and reporting layers so they are transparent and auditable.
• Produce data dictionaries, standards, process notes and how-to guides to a consistent, reusable standard.
• Contribute to data quality reporting, producing regular views of data health and recommending improvements to controls and processes.
• Apply and help enforce data governance policies covering access, retention, classification and privacy, flagging risks and supporting audit requirements.
• Partner with engineering, product, BI and business teams to embed quality and governance requirements early in delivery.
• Support and mentor data stewards, sharing knowledge and raising data literacy across teams.

Qualifications

• Solid experience (typically 2–4 years) in a data management, data quality, data governance, data analysis or data operations role.
• Experience delivering large-scale data management initiatives across a complex data landscape.
• Demonstrable experience improving data quality — profiling, cleansing, reconciliation and root-cause analysis.
• Solid understanding of data governance concepts: stewardship, master and reference data, metadata, lineage, classification and data privacy including GDPR.
• Strong requirements gathering and workshop facilitation skills, with the ability to translate business needs into clear, traceable documentation.
• Confident working with spreadsheets and data at scale, with a meticulous eye for accuracy and detail.
• Clear written and verbal communication — able to document data clearly and explain it to both technical and non-technical audiences.
• A collaborative, proactive approach and the ability to manage several workstreams independently.

Desirable

• Experience with data catalogue, data quality or governance tooling — Collibra, Alation, Informatica, Microsoft Purview or similar.
• Familiarity with modern data platforms and pipelines — cloud data warehouses, dbt, ETL/ELT tooling.
• Exposure to BI and reporting tools such as Power BI, Tableau or Looker, and to supporting self-service analytics.
• AI fluency — both using AI tools and enabling accurate, trustworthy data assets for AI use cases.
• Scripting for data tasks, for example Python.
• Experience of data management within a regulated industry.
• A relevant degree or professional data qualification such as DAMA / CDMP.