VP, Data & AI Implementation & Enablement

Job Classification:

Are you energized by building enterprise capabilities that accelerate innovation with speed scalability and strong governance Our Data & AI organization is shaping how Prudential modernizes responsiblyembedding trust usability and measurable value into the way teams adopt data and AI. When you join our organization you will help the enterprise operationalize modern data governance and Responsible AI capabilities that enable safer faster and more consistent business outcomes at scale.

Your Team

As the Vice President Data & AI Implementation & Enablement you will play a pivotal role in translating Prudentials Data & AI governance strategy into scalable operating processes tooling and enterprise adoption. Sitting within the Data Enablement organization you will lead the implementation and rollout of core governance and Responsible AI capabilities including enterprise data catalog and metadata management data quality enablement governance playbooks and Responsible AI operationalization.

This role is designed for an executive leader who is both a strategist and an operatorsomeone who can convert governance intent into practical execution through clear operating models repeatable playbooks and measurable outcomes. You will drive onboarding and readiness develop training and communications monitor adoption and effectiveness and partner across product engineering legal risk compliance and business teams to reduce friction and embed governance and AI controls into day-to-day workflows.

In this role you will establish and scale enterprise-wide enablement mechanisms including communities of practice reusable assets training and adoption support to accelerate capability building and drive consistency across domains and lines of business. You will ensure governance tooling and processes are implemented in a way that is practical sustainable and aligned with regulatory expectations and enterprise risk postureenabling trusted data stronger analytics and responsible use of AI across the enterprise.

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

Here is What You Can Expect on a Typical Day

• Translate Data & AI governance strategy into an enterprise enablement roadmap spanning processes tooling playbooks training communications and adoption metrics.
• Build and lead a scalable enablement operating model that supports consistent rollout onboarding adoption and continuous improvement across the enterprise.
• Lead the implementation and adoption of governance capabilities including data catalog metadata lineage stewardship and data quality tooling.
• Serve as or partner closely with product leadership for governance platforms by defining requirements prioritizing user needs supporting releases demonstrating value and driving ongoing optimization.
• Develop and standardize governance playbooks including stewardship workflows critical data element definitions data quality rule patterns issue management and approval processes.
• Partner with Legal Risk Compliance Model Risk and AI teams to operationalize Responsible AI requirements into clear controls templates workflows and supporting documentation.
• Enable Responsible AI use case intake risk tiering documentation standards review workflows and lifecycle management in coordination with governance forums and control partners.
• Design and deliver enterprise-wide training communications and readiness programs to support adoption of Data & AI governance tools standards and ways of working.
• Establish adoption mechanisms such as office hours onboarding materials champion networks communities of practice and structured feedback loops.
• Track measure and report adoption engagement and effectiveness metrics including tool usage data quality improvement control maturity and cycle-time reduction.
• Create and scale a Data & AI Governance Community of Practice to share reusable assets implementation patterns lessons learned and success measures across the organization.
• Act as a senior connector and influencer across data owners stewards architects engineers and business leaders to embed governance into delivery and operational processes.
• Continuously refine processes tooling and enablement approaches based on user feedback audit findings performance metrics and evolving regulatory or technology expectations.

The Skills and Expertise You Bring

• Bachelors degree in information systems data AI computer science engineering or a related field required; advanced degree preferred or equivalent professional experience.
• Significant experience in data governance data management data platforms AI enablement Responsible AI technology transformation or related fields.
• Demonstrated success leading enterprise-scale implementations that require strong change management stakeholder engagement training and cross-functional adoption.
• Hands-on experience implementing or operating data governance and catalog platforms such as Collibra Alation Microsoft Purview Informatica or similar technologies.
• Strong working knowledge of metadata management business glossary lineage stewardship workflows data ownership models and data quality operating practices.
• Experience translating policy governance or control requirements into practical workflows measurable outcomes and platform capabilities.
• Strong familiarity with Responsible AI concepts and with operationalizing AI governance in regulated environments.
• Proven ability to partner with Legal Risk Compliance Model Risk and technology teams to embed controls into AI and data delivery lifecycles.
• Strong program leadership and execution skills with experience operating in agile or hybrid delivery environments and influencing across complex organizations.
• Excellent communication facilitation and executive presence with the ability to translate complex technical and governance concepts into business-relevant outcomes.

#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.