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

Description

The company is hiring a Director, AI Tech Lead in PGIM Technology. The role is hybrid, based in Newark, NJ.

The role leads end-to-end delivery of enterprise AI initiatives across PGIM Technology and its business partners. You will find, rank, and scale high-value AI use cases, keep them tied to business results, and deliver measurable impact through structured program governance.

The best fit combines business judgment, working knowledge of AI, and strong program leadership to turn opportunities into scalable solutions.

Responsibilities

• Work with business leaders in investments, operations, distribution, and risk to find and rank AI use cases that support strategic goals.
• Turn business problems into AI opportunities, covering value hypotheses, feasibility, and implementation roadmaps.
• Build and maintain an enterprise AI use case pipeline, ranked by ROI, complexity, and scalability.
• Set success criteria, KPIs, and business outcomes for each initiative.
• Lead AI programs from concept to production, including pilots, scaling, and adoption.
• Set up 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 deliver successfully.
• Manage dependencies across concurrent AI initiatives and keep them aligned with enterprise technology strategy.
• Serve as the main link between business stakeholders and technology teams on AI work.
• Keep solutions business-led and outcome-driven rather than technology-led experiments.
• Track and report realized value, including cost savings, productivity gains, revenue enablement, and risk reduction.
• Drive adoption and embed solutions into business workflows for lasting impact.
• Move successful pilots into scaled, production-grade AI solutions.
• Work with architecture and engineering so solutions are secure, compliant, reusable, and built into enterprise platforms.
• Encourage standard reusable components, patterns, and AI capabilities such as copilots, knowledge assistants, and automation frameworks.
• Make sure AI initiatives follow enterprise governance, model risk management, and regulatory expectations.
• Work with Risk, Legal, and Compliance to put responsible AI practices in place.
• Set controls for data usage, model transparency, and monitoring.
• Give senior leadership, including the CTO, business heads, and executive committees, clear and concise reporting on portfolio progress, risks, and outcomes.
• Prepare materials for senior leadership that highlight key decisions, trade-offs, and investment priorities.

Requirements

• 10+ years in program management, technology delivery, or strategic initiatives, with a strong focus on AI, data, or digital transformation.
• Proven record delivering cross-functional enterprise programs with measurable business outcomes.
• Solid grasp of AI and ML concepts, generative AI, and data platforms. Hands-on modeling is not required, but fluency is.
• Experience working in or with asset management, financial services, or other regulated industries.
• Ability to turn business needs into technology solutions.
• Strong stakeholder management, including experience engaging senior executives.
• Structured, disciplined approach to governance, prioritization, and execution.
• Ability to work in a matrixed, global organization.

Conditions

Hybrid role based in Newark, NJ.

The company is an equal-opportunity employer.

Benefits

• Competitive base salary with yearly bonus potential at every level.
• Medical, dental, vision, life, and disability insurance, plus PTO and leave of absence, including parental and military leave.
• 401(k) with company match of up to 4%.
• Company-funded pension plan.
• Wellness reimbursement of up to $1,600 a year for items supporting personal wellbeing.
• Work/life resources covering parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education benefit to help fund traditional college enrollment toward an approved degree and many accredited certificates.
• Employee stock purchase plan: shares bought at 85% of the lower of the price at the start or end of the purchase period.
• Discretionary annual incentive program. Awards, if any, depend on individual and organizational performance and program rules. Part-time employees scheduled under 20 hours a week may not qualify for some benefits.