EDM (Enterprise Data Management) Consultant – Remote, No Travel

Overview

In this client-facing EDM Consultant role, you help financial services clients reconcile, govern, and trust critical data across complex environments. You’ll design and embed data governance, stewardship, metadata, and lineage capabilities to improve data quality and control. Working with cross-functional teams, you drive discovery, define models and artefacts, and enable sustainable governance through documentation and change enablement. This remote UK/EU position offers meaningful impact on data integrity at scale with client-facing delivery.

Pay / Benefits

• Fully remote working across the UK and EU
• Opportunity to work on mission-critical data control and integrity challenges
• High-impact, client-facing work with scope to shape operating models
• Collaborative environment with opportunities to develop into solution or delivery leadership

Responsibilities

• Lead discovery workshops with business and technology stakeholders to understand data domains, pain points, controls and target outcomes
• Design and implement data governance, ownership models, stewardship workflows, metadata and lineage approaches
• Define business glossaries, critical data elements, policies, standards, controls and RACI artefacts
• Drive data quality activities including profiling, rule definition, issue triage, remediation pathways, KPI reporting and continuous improvement
• Coordinate delivery across data engineering, architecture, risk, operations and PMO or change teams
• Produce client-ready documentation including process flows, data flows, lineage views, governance packs and training materials
• Present delivery updates and recommendations to senior stakeholders and mixed technical and business audiences
• Support adoption and change through communications, enablement, training and embedding of governance and controls

Key requirements

• Experience delivering enterprise data management or data governance initiatives in a consulting or client-facing environment
• Strong understanding of data governance and stewardship models, ownership, accountability and operating models
• Knowledge of data quality concepts such as profiling, rules, monitoring, issue management and KPIs
• Understanding of metadata management, data cataloguing and data lineage documentation
• Awareness of master data concepts and key domains including customer, product, supplier and location data
• Excellent facilitation, stakeholder management, technical writing and presentation skills
• Pragmatic delivery mindset with ability to structure ambiguous problems and drive decisions
• Strong knowledge of data and big data concepts and ability to engage with both technical and non-technical teams

• facilitation
• stakeholder management
• technical writing
• data governance
• data stewardship
• metadata management

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