Jobs / United States / Capital One Services LLC
Sr. Director- Data, Models, and AI Risk Management | Retail Bank
Capital One Services LLC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- 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. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 roles232 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).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Capital One Services LLC
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. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Capital One Services LLC →
About the role
Sr. Director- Data, Models, and AI Risk Management | Retail Bank As a Senior Director in Capital One’s Retail Bank Division, you will apply your data risk management and technology expertise to the company’s Technology and Product organization. You will partner across Enterprise teams, Second Line of defense, and Technology teams to develop and support best-in-class industry risk identification and mitigation solutions in a manner that supports innovation and protects our customers, shareholders and associates. Collaboration with various teams will entail implementation of risk and control tools, techniques, and frameworks for the Retail Bank organization, as well as provide risk advisory services to the first line control owners. Your contributions will drive organizational change through effective and proactive risk identification, measurement, analysis and reporting in order to better manage the company’s risk in an open and collaborative environment. This highly collaborative role will work with various stakeholders to deliver value-added risk management services to the stakeholders. You will have a high level of exposure across lines of business and have the opportunity to work with senior Tech and Business executives to create and implement innovative solutions to identify and mitigate potential risks to the Company. Proficiency in best in class critical thinking and a growth mindset is a must for this role. This individual will provide thought leadership on day to day data management processes and also provide broader thought leadership on how AI is shaping numerous other risk areas from Tech Risk to Third party risk. This individual will be responsible for building and enhancing existing risk management processes and framework to ensure that risk management is keeping pace with emerging risks.. The successful candidate will be a professional who understands various risk frameworks, control environments, technology functions, and organizations, with strong analytical, planning, strategic thinking, organizational and first rate communication skills. This role will report to the Head of Tech, Cyber, and Data Risk within the Retail Bank. Responsibilities: • Provide departmental oversight and serve as a Subject Matter Expert regarding the evolution of AI risk across diverse control domains. • Keep pace with the speed of AI. Identify and implement continual program enhancements based on industry standards and best practices related to data and AI risk management • Partner with Retail Bank Tech and Business teams to assess their compliance with the divisional and enterprise data and model management requirements • Partner with the Managing data steward team to build a strategic point of view on evolution of data risk. Build and maintain risk oversight processes across key data risk areas including but not limited to data quality, data lineage and traceability, data transformation, and data usage in LLM and AI • Apply a solid understanding of control environments to proactively mitigate risks. Influence control owners and other stakeholders to build consensus on risk mitigation and remediation strategies including new risks that may be introduced with the use of AI • Actively engage in AI usage across the LOB across the full lifecycle including design, development, testing, deployment, post deployment monitoring. Provide thought leadership on building proactive risk management techniques. • Deliver clear and decision oriented report to key stakeholders and senior management on data and AI risk highlighting key issues, with proposed mitigations • Build a high performing Data and AI risk team by hiring and developing talent, fostering a culture of growth mindset and continuous learning, and establishing clear risk owne