At a Glance
- Tasks: Lead data governance initiatives and improve data quality in a dynamic financial services environment.
- Company: Join a leading financial services organisation with a focus on innovation and excellence.
- Benefits: Competitive daily rate, hybrid working model, and the chance to make a real impact.
- Other info: 6-month contract with opportunities for professional growth and development.
- Why this job: Shape the future of data management while collaborating with senior stakeholders.
- Qualifications: Experience in data governance and management within financial services is essential.
We are partnering with a leading financial services organisation to appoint an experienced Data Lead / Data Management Consultant to drive the delivery and adoption of enterprise data management capabilities. This is a hands-on leadership role focused on implementing data governance, improving data quality, and embedding data standards across the organisation. You will work closely with senior stakeholders to deliver measurable improvements in how data is managed, controlled, and utilised.
Key Responsibilities
- Lead the implementation of data governance frameworks, including roles, policies, and standards
- Drive data quality improvement initiatives, including defining rules, monitoring, and remediation processes
- Collaborate with business and technology teams to embed data management practices into day-to-day operations
- Develop and support the rollout of data standards, controls, and best practices
- Establish and enhance metadata management, including data lineage and data dictionaries
- Support data modelling activities at a conceptual and logical level
- Engage and influence senior stakeholders across multiple business units to drive adoption and change
- Deliver data-focused change initiatives, ensuring alignment with wider business and regulatory objectives
Required Experience
- Proven experience in a Data Lead / Data Manager / Data Consultant role within financial services
- Strong background in: Data Management frameworks, Data Governance (DG), Data Quality (DQ), Metadata management
- Experience delivering data initiatives in Financial Services (e.g. Insurance, Life & Pensions, or Banking)
- Demonstrated ability to drive change and influence senior stakeholders
- Experience embedding data standards and governance into operational processes
- Strong understanding of data modelling concepts
- Experience with data governance or metadata tools
Data Governance Lead / Consultant – Financial Services (6-month Hybrid Contract) employer: MYO Talent
Contact Detail:
MYO Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Lead / Consultant – Financial Services (6-month Hybrid Contract)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about roles that might not even be advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your data governance knowledge. Be ready to discuss how you've implemented frameworks or improved data quality in past roles. We want to see you shine and show off your expertise!
✨Tip Number 3
Don’t forget to leverage social media! Follow companies you're interested in, engage with their posts, and share your insights on data management topics. This can help you get noticed by hiring managers looking for someone just like you.
✨Tip Number 4
Apply through our website for the best chance at landing that dream job! We make it easy for you to showcase your skills and experience directly to employers who are eager to find talent in data governance.
We think you need these skills to ace Data Governance Lead / Consultant – Financial Services (6-month Hybrid Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Governance Lead. Highlight your experience in data management frameworks and governance, especially within financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've driven data quality improvements or implemented governance frameworks in past roles. We love a good story!
Showcase Your Stakeholder Engagement Skills: Since this role involves influencing senior stakeholders, make sure to highlight your experience in engaging and collaborating with various teams. We want to know how you've successfully driven change and adoption in previous positions.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at MYO Talent
✨Know Your Data Governance Frameworks
Make sure you brush up on the various data governance frameworks relevant to financial services. Be ready to discuss how you've implemented these in past roles, and think of specific examples where you improved data quality or established data standards.
✨Showcase Your Stakeholder Engagement Skills
This role involves working closely with senior stakeholders, so be prepared to share experiences where you've successfully influenced change. Highlight your communication strategies and how you’ve navigated complex organisational structures to drive data initiatives.
✨Demonstrate Your Technical Knowledge
Familiarise yourself with data governance and metadata management tools. Be ready to discuss your experience with data modelling concepts and how you've applied them in practical scenarios. This will show that you’re not just a leader but also technically savvy.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance and quality. Think through potential challenges you might face in this role and how you would address them, demonstrating your proactive approach to data management.