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- Tasks: Lead the data strategy for government services impacting over 18 million citizens.
- Company: Join a dynamic team focused on enhancing data capabilities for public services.
- Benefits: Enjoy hybrid working options and the chance to shape impactful data solutions.
- Why this job: Be at the forefront of data governance, making a real difference in citizens' lives.
- Qualifications: 10+ years in data engineering or analytics; cloud platform experience required.
- Other info: Security clearance is necessary; apply with your CV and cover note.
The predicted salary is between 60000 - 84000 £ per year.
We’re seeking a seasoned Data Lead to own and deliver the data strategy for a government client that uses services used by over 18 million citizens encompassing three newly rebuilt benefits systems. You will define where our data capabilities are today, set the future vision, and architect the roadmap to get us there—then design the data team to execute it.
Data Strategy & Governance
- Lead the end-to-end Data Strategy for Bereavement & Care services.
- Map the “as-is” and “to-be” state of our data platforms and pipelines.
- Develop a 3-month strategic roadmap aligned with the wider Government Data Strategy.
- Define and embed organisational policies, standards and guidelines for secure, scalable data services.
- Select and evolve data engineering methods, tools and techniques.
- Plan and drive delivery of complex data engineering programmes across multiple systems.
- Balance functional and non-functional requirements when designing data solutions.
- Define the optimal data team structure (roles, skills, capacity) to deliver the strategy.
- Oversee implementation of new data platforms, ETL pipelines, and analytical models.
Standards, Compliance & Quality
- Monitor application of data standards, governance frameworks and security controls.
- Embed strong data quality, lineage and protection practices across all systems.
- Contribute to and enforce enterprise-wide data engineering policies and compliance.
Data Leadership
- ≥ 10 years across data engineering, data science or analytics; proven track record setting/executing data strategies in complex organisations.
- Cloud-based data platforms AWS must (Azure, AWS or equivalent).
- Modern ETL/ELT tools and data pipeline frameworks.
- Data modelling, warehousing and transformation best practices.
- Data science/ML lifecycle from prototype to production.
- Excellent leadership, mentoring and team-building skills.
Performance Analytics
- Security clearance (BPSS, SC or DV) or willingness to obtain.
Send your CV and a brief cover note highlighting relevant experience to recruitment@scrumconnect.
Data Management Governance and Quality Lead employer: Scrumconnect Consulting
Contact Detail:
Scrumconnect Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Governance and Quality Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and management. Understanding current best practices will not only help you in interviews but also demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the data management space, especially those who have experience in government projects. Engaging with them can provide insights into the specific challenges and expectations of the role, which can be invaluable during discussions.
✨Tip Number 3
Prepare to discuss your previous experiences in leading data strategies, particularly in complex organisations. Be ready to share specific examples of how you've successfully implemented data governance frameworks and improved data quality.
✨Tip Number 4
If you have experience with cloud-based data platforms like AWS or Azure, make sure to highlight this in conversations. Being able to articulate your hands-on experience with these technologies will set you apart from other candidates.
We think you need these skills to ace Data Management Governance and Quality Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, governance, and strategy. Focus on relevant projects where you've led data initiatives or developed data strategies, especially in complex organisations.
Craft a Compelling Cover Note: In your cover note, briefly summarise your relevant experience and how it aligns with the job requirements. Emphasise your leadership skills and any specific achievements in data management that demonstrate your capability for this role.
Showcase Technical Skills: Clearly outline your proficiency with cloud-based data platforms like AWS, as well as your experience with modern ETL/ELT tools. Mention any relevant certifications or training that support your technical expertise.
Highlight Compliance Knowledge: Since the role involves monitoring data standards and compliance, include any experience you have with data governance frameworks and security controls. This will show your understanding of the importance of data quality and protection practices.
How to prepare for a job interview at Scrumconnect Consulting
✨Understand the Data Landscape
Familiarise yourself with the current data platforms and pipelines relevant to the role. Be prepared to discuss how you would map the 'as-is' and 'to-be' states of these systems, showcasing your strategic thinking and understanding of data governance.
✨Showcase Your Leadership Skills
Highlight your experience in leading data teams and executing data strategies. Prepare examples that demonstrate your ability to mentor and build effective teams, as well as how you've successfully driven complex data engineering programmes in the past.
✨Discuss Compliance and Quality Standards
Be ready to talk about your approach to embedding data quality, lineage, and protection practices. Discuss any frameworks or policies you've implemented in previous roles to ensure compliance and security in data management.
✨Prepare for Technical Questions
Expect questions on cloud-based data platforms, modern ETL/ELT tools, and data modelling best practices. Brush up on your technical knowledge and be ready to explain how you've applied these tools and techniques in real-world scenarios.
