VP, Data & AI Implementation & Enablement

About the role

The Vice President, Data & AI Implementation & Enablement plays a pivotal role in translating Prudential's Data & AI governance strategy into scalable operating processes, tooling, and enterprise adoption. This role requires a strategic approach combined with hands-on execution, focusing on enabling consistent rollout, onboarding, adoption, and continuous improvement across the enterprise.

Responsibilities

• 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.
• Implement and adopt governance capabilities, including data catalog, metadata, lineage, stewardship, and data quality tooling.
• Partner with Legal, Risk, Compliance, Model Risk, and AI teams to operationalize Responsible AI requirements into clear controls, templates, workflows, and supporting documentation.
• Develop and standardize governance playbooks, including stewardship workflows, critical data element definitions, data quality rule patterns, issue management, and approval processes.
• 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.
• Embed governance into delivery and operational processes by continuously refining processes, tooling, and enablement approaches based on user feedback, audit findings, performance metrics, and evolving regulatory or technology expectations.

Requirements

• Bachelor’s 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.

Qualifications

• Bachelor’s 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.

Skills

• Bachelor’s 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.

Benefits

• 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 $1,600 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.

Pay

$178,600.00 to $267,800.00 annually.

Schedule

Hybrid (minimum 3 days/week in office).