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For Companies At a Glance
- Tasks: Lead data transformation projects and manage delivery across multiple workstreams.
- Company: Dynamic company focused on innovative data solutions in the insurance sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact on data architecture and governance in a leading organisation.
- Qualifications: 15+ years in data analytics with strong leadership and vendor management skills.
- Other info: Join a collaborative team driving continuous improvement and innovation.
The predicted salary is between 80000 - 100000 £ per year.
Key Responsibilities
- Programme Delivery
- Lead delivery across multiple workstreams including platform, data ingestion, modelling, and reporting.
- Manage an outsourced delivery partner across scope, timelines, budget, and quality.
- Track KPIs, milestones, and governance forums (e.g. SteerCo, Design Authority).
- Proactively manage risks, issues, and interdependencies.
- Data Architecture
- Define, implement, and govern the target data architecture (platforms, data models, integrations).
- Ensure alignment with enterprise architecture and strategic objectives.
- Review and challenge vendor designs to ensure quality and scalability.
- Drive best practices across data modelling, data pipelines, storage (lakehouse/warehouse), metadata, lineage, and data quality.
- Operating Model
- Align with and enhance data governance frameworks, ownership, and stewardship.
- Establish sustainable operating models and run-state processes.
- Support data lifecycle management and continuous improvement.
- Stakeholder Management
- Act as the primary interface between client leadership and delivery partners.
- Engage with business functions including Underwriting, Claims, and Finance.
- Translate complex business requirements into effective data solutions.
- Provide clear, concise updates to senior stakeholders.
- Vendor Management
- Hold vendors accountable for delivery performance and outcomes.
- Assess capability, resourcing, and collaboration effectiveness.
- Drive continuous improvement in delivery and partnership.
- Business Outcomes
- Deliver measurable value including enhanced underwriting insights, improved reporting and regulatory compliance, and reduction in manual processes.
- Track business case progress and benefits realisation.
Skills & Experience
- Essential
- 15+ years' experience in data and analytics, including leadership roles.
- Strong expertise in data architecture and large-scale platform delivery.
- Proven experience managing third-party vendors.
- Experience within London Market or specialty insurance.
- Deep knowledge of modern data platforms (e.g. Azure, AWS, Snowflake, Databricks).
- Strong understanding of data modelling, integration, governance, and data quality.
- Demonstrated programme delivery and governance experience.
- Desirable
- Experience with underwriting, claims, or delegated authority data.
- Knowledge of insurance regulatory and reporting requirements.
Data Lead - Data Transformation Programme in London employer: Red King Resourcing
Contact Detail:
Red King Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead - Data Transformation Programme in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data and analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by practising common questions related to data architecture and programme delivery. We recommend using the STAR method to structure your answers – it helps you showcase your experience effectively!
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your past projects in data transformation and vendor management. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Lead - Data Transformation Programme in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Lead. Highlight your experience in data architecture and programme delivery, and don’t forget to mention any relevant projects that showcase your skills in managing vendors and stakeholders.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Transformation Programme. Be sure to mention your 15+ years of experience and how it aligns with our goals at StudySmarter.
Showcase Your Achievements: When detailing your experience, focus on measurable outcomes. Talk about how you’ve improved reporting or reduced manual processes in previous roles. We love numbers, so if you can quantify your success, do it!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Red King Resourcing
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture and the specific platforms mentioned in the job description, like Azure or AWS. Brush up on your knowledge of data modelling and governance frameworks, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
With 15+ years of experience expected, be ready to discuss your leadership style and how you've successfully managed teams and third-party vendors in the past. Prepare examples that highlight your ability to deliver projects on time and within budget.
✨Prepare for Stakeholder Scenarios
Think about how you would engage with various business functions like Underwriting and Claims. Be prepared to translate complex data requirements into actionable insights and provide clear updates to senior stakeholders. Practice articulating these scenarios.
✨Demonstrate Continuous Improvement Mindset
Highlight your experience in driving continuous improvement in data processes and vendor management. Be ready to discuss specific instances where you’ve enhanced reporting or reduced manual processes, as this aligns with the role's focus on delivering measurable value.