At a Glance
- Tasks: Drive data governance strategy and ensure data accuracy and security across the organisation.
- Company: Join a leading firm focused on responsible data management and governance.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous learning.
- Why this job: Make a real impact by shaping data policies and driving compliance in a dynamic environment.
- Qualifications: 8+ years in data governance with strong knowledge of frameworks and regulatory requirements.
The predicted salary is between 60000 - 75000 £ per year.
Drive the organization's data governance strategy by establishing policies, standards, and controls that ensure data is accurate, consistent, secure, and used responsibly across the business.
Key Responsibilities
- Develop and maintain data governance frameworks, policies, and standards (data quality, metadata, lineage, classification, retention)
- Partner with data owners/stewards across business units to define roles, responsibilities, and accountability for data assets
- Lead data quality assessments and remediation plans; monitor KPIs/metrics for governance maturity
- Maintain data catalogs, business glossaries, and metadata repositories
- Ensure compliance with relevant regulations (e.g., GDPR, CCPA, HIPAA, SOX) and internal policies
- Support master data management (MDM) initiatives and data lineage documentation
- Conduct risk assessments related to data privacy, security, and access controls
- Collaborate with IT, legal, compliance, and analytics teams on governance tooling (e.g., Collibra, Informatica, Alation, Purview)
- Deliver training and communication to build a data-governance culture across the organization
- Prepare governance reporting for leadership and audit/regulatory bodies
Required Qualifications
- Bachelor's degree in Information Management, Computer Science, Business, or related field (Master's a plus)
- 8+ years in data governance, data management, or data quality roles
- Strong knowledge of data governance frameworks (DAMA-DMBOK, DCAM) and regulatory requirements
- Hands-on experience with data catalog/governance tools and SQL
- Excellent stakeholder management and communication skills
- Experience with data privacy and security best practices
Preferred
- Certifications: CDMP, DGSP, or similar
- Experience in a regulated industry (finance, healthcare, insurance)
- Familiarity with cloud data platforms (Snowflake, Databricks, Azure/AWS)
Data Governance Analyst in Slough employer: Venquis
As a Category & Sourcing Manager at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities tailored to enhance your skills in procurement and supply chain management, all while working in a location that supports cutting-edge data centre operations. Join us to be part of a team that values your contributions and fosters growth in a rapidly evolving industry.
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We think this is how you could land Data Governance Analyst in Slough
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We think you need these skills to ace Data Governance Analyst in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Venquis
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
