Director, AI Tech Lead - PGIM Technology (Hybrid - Newark, NJ)

Prudential Financial•Newark, NJ
•Hybrid

About The Position

PGIM is seeking a strategic, execution-focused Director, AI Technical Lead to lead end-to-end delivery of enterprise AI initiatives across PGIM Technology and business partners. The role identifies, prioritizes, and scales high-value AI use cases, aligns them to business outcomes, and drives measurable impact through disciplined program governance and execution. The position combines business acumen, AI fluency, and program leadership to translate opportunities into scalable solutions. It leads AI programs from concept through production, including pilots, scaling, and adoption; coordinates business and technology teams; and ensures solutions are secure, compliant, reusable, and integrated into enterprise platforms. The role also promotes responsible AI practices and provides executive reporting on portfolio progress, risks, outcomes, decisions, and investment priorities. This is a high-visibility role with direct impact on PGIM’s enterprise AI agenda and business transformation, including opportunities to shape how AI is embedded in investment, operations, and client workflows. The role is hybrid in Newark, New Jersey.

Requirements

  • 10 or more years of experience in program management, technology delivery, or strategic initiatives, with a strong focus on AI, data, or digital transformation.
  • Proven experience delivering cross-functional enterprise programs with measurable business outcomes.
  • Strong understanding of AI/ML concepts, generative AI, and data platforms; hands-on modeling is not required, but fluency is expected.
  • Demonstrated ability to translate business needs into technology solutions.
  • Strong stakeholder management skills, including experience engaging senior executives.
  • Structured, disciplined approach to governance, prioritization, and execution.
  • Ability to operate in a matrixed, global organization.

Nice To Haves

  • Experience working in or with asset management, financial services, or regulated industries.

Responsibilities

  • Partner with business leaders in investments, operations, distribution, and risk to identify and prioritize AI use cases aligned with strategic objectives.
  • Translate business problems into AI opportunities, including value hypotheses, feasibility assessments, and implementation roadmaps.
  • Build and maintain an enterprise AI use-case pipeline, prioritizing initiatives based on ROI, complexity, and scalability.
  • Define success criteria, KPIs, and business outcomes for each initiative.
  • Lead AI program delivery from concept to production, including pilots, scaling, and adoption.
  • Establish and run program governance, including steering committees, status reporting, and risk and issue management.
  • Coordinate data, engineering, architecture, cyber, legal/compliance, and business teams to support successful execution.
  • Manage dependencies across concurrent AI initiatives and align them with enterprise technology strategy.
  • Serve as the primary interface between business stakeholders and technology teams for AI initiatives.
  • Ensure solutions are business-led and outcome-driven.
  • Track and report realized value, including cost savings, productivity gains, revenue enablement, and risk reduction.
  • Drive adoption and integration of AI solutions into business workflows.
  • Transition successful pilots into scaled, production-grade AI solutions.
  • Partner with architecture and engineering to ensure solutions are secure, compliant, reusable, and integrated into enterprise platforms.
  • Promote standardization through reusable components, patterns, and AI capabilities such as copilots, knowledge assistants, and automation frameworks.
  • Ensure AI initiatives adhere to enterprise governance, model risk management, and regulatory expectations.
  • Partner with Risk, Legal, and Compliance teams to implement responsible AI practices.
  • Establish controls for data usage, model transparency, and monitoring.
  • Provide clear, concise executive reporting on AI portfolio progress, risks, and outcomes.
  • Develop materials for senior leadership, including the CTO, business heads, and executive committees.
  • Highlight key decisions, trade-offs, and investment priorities.

Benefits

  • Market-competitive base salaries with yearly bonus potential at every level.
  • Medical, dental, vision, life, and disability insurance.
  • Paid Time Off (PTO) and leaves of absence, including parental and military leave.
  • 401(k) plan with company match up to 4%.
  • Company-funded pension plan.
  • Wellness programs, including up to $1,600 per year in reimbursement for items purchased to support personal wellbeing needs.
  • Work/Life Resources for 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 an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan, allowing shares to be purchased at 85% of the lower of two prices at the beginning or end of the purchase period.
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