Skills this job asks for
ComplianceSQLSnowflakeAWS
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Capital One Services LLC paid sponsored hires in similar roles232 certified filings for “Senior Data Analyst” (Data Scientists) in VA: $92k–$131k, median $113k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Capital One Services LLC paid sponsored hires in similar roles
- 232 certified filings for “Senior Data Analyst” (Data Scientists) in VA: $92k–$131k, median $113k. Most were filed at wage level IV (42%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire
Lead Data Steward
Our Mission
We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK.
About the Role
Data sits at the very heart of everything we do at Capital One, and establishing a robust data foundation is a key enabler for our strategic initiatives across both the Enterprise and the UK division. With a multitude of systems capturing, storing, and processing data, our goal is to drive operations and analytics that help our customers and associates succeed.
As we scale up our AI solutions, ensuring a thorough understanding of the data the UK business creates and uses is more crucial than ever. This role is essential for maintaining a well-managed business, giving decision-makers absolute confidence that their data is available and of the highest quality. We are seeking an energetic individual to bridge the gap between data and the wider business, delivering well-governed, impactful data that drives real value for our stakeholders.
What You'll Do
• Champion Data Governance: Act as the focal point for data governance and stewardship within the UK business, ensuring data is managed through its entire lifecycle and treated as a true corporate asset.
• Support Data Owners: Manage day-to-day data activities on behalf of Accountable Executives and Senior Leaders who act as the designated ‘Data Owners’.
• Enhance Data Quality: Drive actionable improvements to data quality and enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers.
• Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols.
• Manage Risk & Alignment: Engage with stakeholders to agree on common data definitions, whilst proactively flagging data risks or control issues to relevant risk and governance committees.
The Skills and Experience You Need
• Stakeholder Influence & Collaboration: Excellent communication and relationship-building skills, with a proven ability to influence across teams and drive cultural change.
• Data Storytelling: Ability to translate complex data concepts into plain language, summarising information effectively and tailoring communications for diverse audiences.
• Critical Thinking & Problem Solving: A natural analytical mindset with the ability to resolve complex data issues, identify trends, and take ownership of problem resolution.
• Strategic Prioritisation: Ability to focus on high-value data tasks, piecing together data management practices to enable key strategic initiatives, including AI solutions.
• Active Listening: Strong active listening skills to deeply understand stakeholder requirements and naturalise a data-centric culture across the division.
Desirable Experience
• Data Frameworks: Familiarity with recognised industry data management frameworks such as DAMA or DCAM.
• Data Modelling & Governance: Understanding of data governance principles, business glossaries, and how data flows via logical and physical data models.
• Data Maturity Assessment: Experience evaluating data maturity and providing recommendations to align current capabilities with long-term strategic goals.
• Technical Proficiency: Practical experience with SQL, particularly within Snowflake database environments.
• Cloud Infrastructure: A general understanding of cloud resources, specifically AWS architectures.
Where and how yo
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