VP, Enterprise Responsible AI and Data Quality Assurance Operations

Job Classification:

Are you interested in building capabilities that enable the organization with innovation speed agility scalability and efficiency The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential youll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the worlds leading financial services institutions.

Your Team

As the Vice President Enterprise Responsible AI (RAI) and Data Quality (DQ) Assurance Operations at Prudential Financial you will lead the enterprise operating model and control plane for RAI and DQtranslating policy and standards into actionable controls decision rights automation and measurable outcomes across business units and technology partnership with the VP Responsible AI and QA Leader you will establish centralized oversight mechanisms and ensure governance is executed in the flow of delivery across the AI and data lifecycles.

In this global role you will run the centralized governance engine for Responsible AI and Data Qualitydefining enterprise-wide intake risk-tiering review approval and escalation workflows; setting expectations for documentation testing and monitoring; and implementing policy-as-code patterns where feasible to automate control checks and evidence capture across ModelOps/DataOps platforms.

Your leadership will strengthen Prudentials ability to scale AI safely by operationalizing continuous monitoring for model performance fairness drift and stabilitypaired with modern data observability for completeness accuracy timeliness and lineage. You will establish an enterprise issue incident and exception management approach (ownership SLAs remediation and audit-ready evidence) and provide senior leaders transparent reporting on risk posture control effectiveness and compliance status.

In essence as VP of Enterprise RAI and DQ Assurance Operations you will design and run Prudentials endtoend RAI/DQ operations and control planeensuring consistent enforcement of standards measurable control coverage and independent challenge so AI and data products are delivered in alignment with policy risk appetite and evolving regulatory expectations.

Location: Newark NJ hybrid (minimum 3 days/week in office)

Here is What You Can Expect on a Typical Day

• Establish and enforce an enterprise Responsible AI and Data Quality governance execution model and control plane (controls decision rights operating cadence control testing and issue/exception management) in coordination with the VP RAI Governance & Policy.
• Own the centralized workflows tooling and integrations required for enterprise oversightenabling model and use-case inventory control mapping required evidence capture attestations and continuous monitoring (leveraging ModelOps and adjacent platforms).
• Develop and maintain governance frameworks mandatory standards control libraries playbooks templates and audit-ready documentation that teams must follow to meet Responsible AI and Data Quality requirements efficientlyembedding controls into delivery through repeatable patterns and guidance.
• Lead crossenterprise governance rhythms (intake risk-tiering review boards control gates independent challenge and escalation) to drive consistent adoption of RAI and DQ controls across business technology and analytics teams.
• Define and publish enterprise KPIs and dashboards spanning compliance risk posture control coverage/effectiveness exceptions incidents and remediation progress; deliver actionable reporting to senior stakeholders and governance forums.
• Lead the enterprise Data Quality Assurance (DQA) function by defining and running topdown quality standards and controls for critical data (including critical data elements) and executing independent assurance (rules-based testing sampling and challenge) supported by modern data observability and lineage/provenance.
• Establish enterprise DQ monitoring and issue/incident management with clear ownership SLAs escalation paths root-cause analysis expectations and audit-ready evidence of detection triage remediation and validation.
• Integrate data quality controls into AI lifecycle governance gates (intake validation deployment and monitoring) to ensure models rely on fitforpurpose data and featureswith documented lineage provenance label/ground-truth quality where applicable and defined acceptance criteria for data fitness.
• Manage the RAI/DQ operations tooling roadmap with product and engineering partnersdriving integration across model registries evaluation frameworks monitoring/observability metadata and lineage case management and reporting to support scalable control-plane execution.
• Build and lead role-based training and enablement that empowers teams to execute RAI and DQ practices effectivelyfocusing on practitioner playbooks templates office hours and handson support.
• Stay current on emerging tools methods and regulatory expectations (including GenAI/LLM evaluation monitoring and documentation patterns) and integrate improvements into Prudentials operational model and control plane.
• Drive continuous improvement to raise the maturity automation and scalability of RAI/DQ operationsreducing delivery friction while strengthening control effectiveness and audit readiness.
• Develop strong relationships with business technology risk compliance and legal partnersensuring shared understanding of requirements clear ownership and a compelling value proposition for RAI and DQ controls.
• Represent the RAI/DQ Operations control plane in crossenterprise forums ensuring alignment across stakeholders involved in AI and data delivery and consistent execution of governance decisions.

The Skills & Expertise You Bring

• A minimum of 10 years of experience in a leadership role with a focus on AI governance policy risk management ethics or a related discipline ideally within complex global and regulated environments.
• Strong understanding of AI/ML development lifecycles model operations and the technical processes required to support scalable AI delivery.
• Demonstrated leadership in enterprise data quality governance and assurance including defining DQ standards/controls overseeing testing and monitoring and driving remediation across federated data owners.
• Working knowledge of data quality and data governance practices and tooling (DQ rules metadata management lineage stewardship MDM/reference data and/or data observability) in regulated environments.
• Demonstrated experience operationalizing complex technical programs across large federated organizations.
• Proven ability to lead crossfunctional teams and influence technical and nontechnical stakeholders.
• Exceptional communication collaboration and problemsolving skills.
• Advanced degree in computer science data science applied mathematics AI/ML engineering or a related field preferred.

#LIhybrid

• Market competitive base salaries with a yearly bonus potential at every level.

• Medical dental vision life insurance disability insurance Paid Time Off (PTO) and leave of absences such as parental and military leave.

• 401(k) plan with company match (up to 4%).

• Company-funded pension plan.

• Wellness Programs including up to $1600 a year for reimbursement of items purchased to support personal wellbeing needs.

• Work/Life Resources to help support topics such as parenting housing senior care finances pets legal matters education emotional and mental health and career development.

• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.

• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period) after one year of service.

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program whereby an award if any depends on various factors including without limitation individual and organizational performance. To find out more about our Total Rewards package visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.