At a Glance
- Tasks: Lead the development of a strategic data vision for impactful government programmes.
- Company: Join Scrumconnect, a people-first digital consultancy focused on user-centred services.
- Benefits: Collaborative culture, continuous learning, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and inclusivity.
- Why this job: Make a real difference by shaping data strategies that impact millions of citizens.
- Qualifications: Experience in data leadership and technical expertise in cloud services.
The predicted salary is between 60000 - 80000 £ per year.
At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users.
We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence.
Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens.
This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation.
Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards.
Key Responsibilities- Lead the development and execution of the overall data strategy.
- Assess and document current ('as-is') data capabilities, platforms, processes, and governance arrangements.
- Define the target ('to-be') data architecture, operating model, and roadmap.
- Establish and maintain data governance frameworks, standards, policies, and best practices.
- Ensure alignment with wider government data strategies and organisational objectives.
- Promote a culture of data-driven decision making across programmes and stakeholders.
- Provide technical leadership across data engineering, analytics, and data science initiatives.
- Define and evolve data architecture, engineering standards, tools, and methodologies.
- Design scalable, secure, and resilient cloud-based data solutions.
- Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions.
- Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability.
- Drive continuous improvement of data engineering and analytical capabilities.
- Define the optimal team structure, skills, and capabilities required to deliver the data strategy.
- Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects.
- Mentor and support team members to foster technical excellence and professional growth.
- Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required.
- Ensure successful delivery of strategic data initiatives within agreed timelines and budgets.
- Implement robust data quality, lineage, metadata, and governance practices.
- Ensure compliance with GDPR, security policies, government standards, and regulatory requirements.
- Establish monitoring and reporting mechanisms to maintain data integrity and reliability.
- Support audits, risk assessments, and compliance activities.
- Champion secure-by-design and privacy-by-design principles across all data initiatives.
- Build strong relationships with senior stakeholders across business and technical teams.
- Translate complex technical concepts into clear business outcomes and recommendations.
- Present strategic plans, progress updates, and key insights to executive audiences.
- Facilitate workshops and decision-making sessions to drive alignment and delivery.
- Significant experience leading data engineering, analytics, or data science functions within complex organisations.
- Proven track record of developing and delivering enterprise-wide data strategies.
- Experience establishing data governance frameworks and operating models.
- Strong experience with AWS cloud services and modern data platforms.
- Expertise in designing and implementing scalable data architectures and engineering solutions.
- Experience with ETL/ELT frameworks, data integration, and pipeline automation.
- Strong understanding of data modelling, data warehousing, and transformation methodologies.
- Experience supporting data science and machine learning initiatives from experimentation through production deployment.
- Strong understanding of data security, governance, and operational best practices.
- Experience delivering data initiatives within government or highly regulated environments.
- Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements.
- Familiarity with Government Digital Service (GDS) standards and ways of working.
- Excellent stakeholder management and communication skills.
- Ability to influence senior leaders and drive strategic decision-making.
- Experience building, leading, and mentoring high-performing data teams.
- Strong facilitation, collaboration, and workshop leadership capabilities.
Experience with some or all of the following technologies is desirable:
Cloud & Data Platforms- AWS
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon Redshift
- AWS Lake Formation
- SQL
- Python
- ETL/ELT frameworks
- Data Warehousing solutions
- Data Modelling methodologies
- Google Analytics
- Google BigQuery
- Google Looker Studio
- Google Tag Manager
- Experience within benefits, welfare, citizen services, or wider public sector domains.
- Previous experience delivering services through public sector frameworks.
- Security clearance (BPSS, SC, or DV) or willingness to undergo clearance.
- Experience working within Agile multidisciplinary delivery teams.
- Experience defining and scaling enterprise data capabilities and operating models.
Data Lead in London employer: Scrumconnect Limited
At Scrumconnect, we pride ourselves on being a people-first digital consultancy that fosters a collaborative and inclusive work culture. As a Data Lead, you will have the opportunity to shape strategic data initiatives that impact millions of citizens while benefiting from continuous learning and professional growth in a supportive environment. Our commitment to innovation and excellence ensures that you will be part of a team dedicated to delivering high-quality digital solutions that make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in what they do and how you can contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with their needs. Keep it concise but impactful—think of it as your personal brand statement.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Data Lead in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data leadership and governance. We want to see how your skills align with our mission at Scrumconnect, so don’t hold back on showcasing your relevant achievements!
Showcase Your Technical Skills:When applying, be sure to emphasise your expertise in AWS cloud services and data architecture. We’re looking for someone who can lead technical initiatives, so let us know about your hands-on experience with data engineering and analytics tools.
Demonstrate Stakeholder Engagement:Highlight your ability to build relationships with senior stakeholders. We value communication skills highly, so share examples of how you've influenced decision-making and driven strategic outcomes in your previous roles.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the Data Lead position. Plus, it’s super easy!
How to prepare for a job interview at Scrumconnect Limited
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data strategies and governance frameworks. Be ready to discuss your past experiences with data architecture and how you've led teams in implementing data-driven decision-making processes.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your experience with AWS cloud services and modern data platforms. Prepare examples of how you've designed scalable data solutions and tackled challenges in data engineering or analytics.
✨Engage with Stakeholders
Demonstrate your ability to build relationships with senior stakeholders. Think of instances where you've translated complex technical concepts into clear business outcomes, and be prepared to share these stories during the interview.
✨Emphasise Continuous Learning
Scrumconnect values continuous learning, so highlight your commitment to professional growth. Share any recent courses, certifications, or projects that showcase your dedication to staying updated with the latest trends in data management and governance.
