AI and Data Controls Management Specialist

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech
The Role
Leads the design, documentation, implementation, monitoring, and testing of AI and data controls. Develops risk-to-control mappings, control frameworks, dashboards, and remediation programs while advising stakeholders on AI risk, model risk, data governance, privacy, and regulatory requirements. Partners across the enterprise to support audits, strengthen governance, and translate standards such as NIST AI RMF and the EU AI Act into operational controls.
Summary Generated by Built In

Responsibilities

  • Lead the identification, design, documentation, implementation, and testing of AI and data controls across the AI and data lifecycle, translating emerging risks, governance standards, and regulatory requirements into effective and measurable control activities.
  • Define new AI and data control objectives, develop risk-to-control mappings, and document control procedures to address evolving governance, regulatory, privacy, model, and operational risks.
  • Assess existing AI and data governance frameworks to identify control gaps, recommend enhancements, and drive remediation efforts that strengthen enterprise control effectiveness.
  • Provide expert consultation and analytical leadership on complex AI and data risk and control matters, partnering across stakeholders to strengthen control alignment, support audit activities, and mitigate risk.
  • Lead the development and execution of controls monitoring and testing programs, including effectiveness assessments, attribute-level testing, and control health reporting.
  • Develop management reporting and dashboards on AI and data control effectiveness, issue status, monitoring outcomes, and remediation progress using GRC platforms such as Archer.
  • Build strong cross-functional relationships and translate technical AI, model, and data risk concepts into practical control requirements and guidance for business stakeholders.
  • Educate and influence stakeholders on AI and data governance expectations, controls design principles, and emerging industry and regulatory developments including NIST AI RMF, EU AI Act, data privacy regulations, and related frameworks.
  • Participate in special projects and perform other duties as assigned.

Required Qualifications

  • Five or more years of experience in risk management, controls, compliance, audit, governance, technology risk, model risk management, data governance, or related disciplines.
  • Demonstrated experience identifying risks, designing controls, documenting control frameworks, and implementing control solutions in complex business or technology environments.
  • Experience developing risk-to-control mappings, control objectives, control narratives, standards, procedures, and testing methodologies.
  • Hands-on experience with, or strong understanding of, AI risk, model risk, data governance, data privacy, technology risk, or related governance disciplines.
  • Working knowledge of governance and control frameworks such as NIST AI RMF, EU AI Act, CDMC, COBIT, NIST, or comparable industry standards, including the ability to translate framework requirements into operational controls.
  • Experience designing, documenting, assessing, or testing controls within a Governance, Risk, and Compliance (GRC) platform such as Archer, ServiceNow GRC, or similar tools.
  • Strong analytical, problem-solving, and critical-thinking skills with the ability to operate effectively in ambiguous and rapidly evolving environments.
  • Excellent written and verbal communication skills with demonstrated ability to influence stakeholders and clearly articulate risk and control concepts to technical and non-technical audiences.
  • Bachelor's degree or an equivalent combination of training and experience.

 

Preferred Qualifications

  • Direct experience supporting AI governance, AI risk management, model governance, or enterprise data governance programs.
  • Experience developing controls for emerging technologies, including artificial intelligence, machine learning, advanced analytics, cloud platforms, or data management environments.
  • Financial services, asset management, banking, insurance, or highly regulated industry experience.
  • Experience supporting regulatory examinations, internal audits, or external audits.
  • Certifications such as CIA, CRISC, CDPSE, CISA, CISSP, or AI governance-related credentials including IAPP AIGP.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Skills Required

  • Five or more years of experience in risk management, controls, compliance, audit, governance, technology risk, model risk management, data governance, or related disciplines.
  • Experience identifying risks, designing controls, documenting control frameworks, and implementing control solutions in complex business or technology environments.
  • Experience developing risk-to-control mappings, control objectives, control narratives, standards, procedures, and testing methodologies.
  • Hands-on experience with or strong understanding of AI risk, model risk, data governance, data privacy, technology risk, or related governance disciplines.
  • Working knowledge of NIST AI RMF, EU AI Act, CDMC, COBIT, NIST, or comparable governance and control frameworks.
  • Experience designing, documenting, assessing, or testing controls in a GRC platform such as Archer, ServiceNow GRC, or similar tools.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent written and verbal communication skills, including the ability to influence technical and non-technical stakeholders.
  • Bachelor's degree or equivalent combination of training and experience.
  • Experience supporting AI governance, AI risk management, model governance, or enterprise data governance programs.
  • Experience developing controls for artificial intelligence, machine learning, advanced analytics, cloud platforms, or data management environments.
  • Experience in financial services, asset management, banking, insurance, or another highly regulated industry.
  • Experience supporting regulatory examinations, internal audits, or external audits.
  • Certifications such as CIA, CRISC, CDPSE, CISA, CISSP, or IAPP AIGP.

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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