Data Steward

The Data Steward is responsible for ensuring the quality integrity governance and usability of data across the organisation. This role acts as the bridge between business users and technical teams establishing standards improving data documentation and ensuring data is managed consistently throughout its lifecycle. The Data Steward plays a critical role in enabling trusted data for reporting analytics and decision-making.

Key Responsibilities

1. Data Governance & Standards

Define implement and enforce data governance frameworks and best practices

Establish data standards naming conventions and modelling principles

Ensure consistent use of data definitions across reports and systems

Support the creation and maintenance of data policies and procedures

2. Data Quality Management

Monitor and improve data quality (accuracy completeness consistency timeliness)

Identify data issues and root causes working with technical teams to resolve them

Define and track data quality metrics and KPIs

Implement controls to prevent recurring data issues

3. Metadata & Documentation

Own and maintain data dictionaries glossaries and lineage documentation

Document data models transformations and business rules

Improve visibility of data flows across systems (e.g. source warehouse report)

Ensure documentation is accessible up to date and standardised

4. Data Ownership & Stewardship

Work with business stakeholders to define data ownership and accountability

Act as the point of contact for data-related queries within assigned domains

Ensure clear ownership of dashboards datasets and automated solutions

5. Process & Lifecycle Management

Support standardised development and release processes (e.g. Power BI Power Apps Power Automate)

Ensure proper version control archiving and lifecycle management of reports and solutions

Help manage workspace hygiene and governance (e.g. avoiding duplicate/legacy reports)

6. Collaboration & Communication

Act as a liaison between business users analysts and engineering teams

Translate business requirements into clear data definitions and structures

Promote data literacy and best practices across the organisation

7. Compliance & Risk Management

Ensure compliance with data protection regulations (e.g. GDPR)

Support data audits and governance reviews

Identify and mitigate risks related to poor data management

Qualifications :

Key Skills & Experience

Essential

Strong understanding of data governance principles and data lifecycle management

Experience with data warehousing and reporting environments

Familiarity with tools such as Power BI Power Platform SQL and data modelling concepts

Ability to create clear documentation and data dictionaries

Strong analytical and problem-solving skills

Excellent stakeholder engagement and communication skills

Desirable

Experience with data lineage tools or cataloguing platforms

Knowledge of Master Data Management (MDM) concepts

Exposure to Direct Query / Import modelling trade-offs

Understanding of performance optimisation in reporting tools

Experience working in regulated or large enterprise environments

Key Behaviours / Competencies

Attention to Detail ensures data accuracy and consistency

Ownership Mindset drives accountability for data assets

Structured Thinking able to simplify complex data environments

Collaboration works effectively across technical and business teams

Continuous Improvement proactively identifies and resolves inefficiencies

Additional Information :

Equality Diversity & Inclusion

We at EGIS are an Equal Opportunities employer and we recognise the value of a Diverse Organisation. EGIS appreciates all job applications. If you decide to apply for an opportunity at EGIS your application will be assessed based purely on your experience the essential and desirable criteria and your suitability for the role. We value each and everyones contribution as this builds our culture and means if you work for EGIS you will be included listened to and respected.

Remote Work :

No

Employment Type :

Full-time