Data Steward in London

Data Steward in London

London Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Everest Group

At a Glance

  • Tasks: Manage and ensure the quality of international data for impactful decision-making.
  • Company: Join Everest, a global leader in risk management with a rich heritage.
  • Benefits: Inclusive culture, career growth opportunities, and a chance to make a difference.
  • Other info: Work in a dynamic environment with a focus on collaboration and inclusion.
  • Why this job: Be a key player in shaping data governance and driving business success.
  • Qualifications: 3-5 years in data stewardship; strong analytical and communication skills required.

The predicted salary is between 50000 - 60000 £ per year.

About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Role Purpose: The International Data Steward / Data Governance Analyst is responsible for the end-to-end business stewardship of International data, ensuring clarity, trust, and accountability across the data lifecycle. This role serves as the primary business owner and decision-maker for data meaning, usage, and acceptability within scope. It prioritizes data quality issues based on business impact and validates remediation outcomes from a business and operational perspective. The initial focus will be on the International Policy and Underwriting domain, aligned with current business priorities. Over time, the stewardship framework established in this role will expand across additional International data domains.

Core Accountabilities: This role is accountable for business-led data stewardship, including:

  • Owning business definitions, Critical Data Elements (CDEs), and approved data usage
  • Acting as the primary business decision-maker for data meaning and acceptability
  • Prioritizing data quality issues based on business impact and operational risk
  • Validating remediation outcomes to ensure alignment with business expectations
  • Ensuring downstream data usage reflects agreed definitions and intent

Key Responsibilities:

  • Data Stewardship & Decision Making
  • Act as the trusted business steward for International data domains (initial focus: Policy / Underwriting)
  • Own business definitions, terminology, and Critical Data Elements (CDEs)
  • Make decisions on data meaning, usage, tolerances, and acceptability across the International business
  • Ensure all stewardship decisions are documented and maintained within governance tools
  • Data Quality Ownership
  • Own prioritization of data quality issues from a business perspective
  • Partner with Data Quality and delivery teams to set remediation priorities
  • Validate that fixes and controls meet business and operational requirements before closure
  • Business & Delivery Interface
  • Serve as the primary business contact for data-related decisions within scope
  • Represent International business priorities in data and platform delivery forums
  • Provide clear guidance to downstream users on data meaning and limitations
  • Operating Model & Maturity
  • Support the evolution of the International Data Governance and Stewardship operating model
  • Help transition from project-based stewardship to ongoing business ownership
  • Contribute to scalable, repeatable stewardship practices across additional domains

Key Relationships: International Underwriting, Operations, Finance, and Regulatory Reporting teams; Data Governance, Data Quality, and Data & Analytics leadership; IT and data platform delivery teams.

Skills & Experience Required:

  • 3–5 years of experience in data stewardship, data ownership, or business-led data roles (insurance or financial services preferred)
  • Strong understanding of policy and underwriting data and lifecycle
  • Experience acting as a business decision-maker in data-driven initiatives
  • Strong analytical skills and attention to detail
  • Ability to work effectively with technical teams in a business-led capacity
  • Strong communication, stakeholder management, and influencing skills

Preferred:

  • Experience within domain-based or data product operating models
  • Familiarity with enterprise data platforms and modern data architecture
  • Experience working across International or multi-jurisdiction insurance environments
  • Experience with data governance tools (e.g., Collibra)

At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture: At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors.

Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.

Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Data Steward in London employer: Everest Group

Everest Global Services, Inc. is an exceptional employer that fosters a culture of inclusion and collaboration, making it a great place for Data Stewards to thrive. With a commitment to employee growth and development, the company offers robust opportunities for professional advancement while prioritising work-life balance in its London location. Employees benefit from a supportive environment that values diverse perspectives and encourages innovative thinking, all while contributing to meaningful global impact through risk management.

Everest Group

Contact Details:

Everest Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Steward in London

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We think you need these skills to ace Data Steward in London

Data Stewardship
Data Governance
Analytical Skills
Attention to Detail
Business Decision-Making
Data Quality Management
Stakeholder Management

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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Craft a Tailored Cover Letter:For a full-time role at Everest Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Everest Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Everest Group

Brush Up on Your Statistics

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