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 Prudential youll unlock an exciting and impactful career while growing your skills and advancing your profession at one of the worlds leading financial services institutions.

Your Team & Role

As the Vice President Data & AI Engineering reporting to the Chief Data & AI Officer you will lead Prudentials forward deployed data and AI engineering organizations responsible for building scaling and operationalizing trusted AIready data products across the organization functions as Prudentials frontline delivery engine for data and AI deploying elite engineering teams to the companys highestpriority business initiatives. Rather than permanently embedding within a single domain these teams rotate across business areas accelerating delivery compounding institutional knowledge and ensuring consistent engineering standards across the enterprise.

Your scope includes Data Engineering AI Engineering Machine Learning Engineering (including MLOps and LLMOps) Agentic Engineering Conversational AI Intelligent Automation (including RPA and workflow automation) BI & Analytics Engineering DataOps and Data Product Certification. You are accountable for translating advanced analytics and AI capabilities into measurable business outcomes while balancing speed and innovation with enterprise reliability security and responsible AI.

In this role you will partner closely with senior business leaders product teams architecture governance risk legal and compliance security workforce and platform leaders to ensure data and AI investments deliver sustained enterprise value. This role requires deep technical judgment strong delivery leadership and the ability to mobilize highly skilled engineering teams against Prudentials most complex highimpact AIdriven opportunities.

What You Can Expect on a Typical Day

• Lead and scale forwarddeployed data and AI engineering acceleration teams that rotate across business domains to deliver highimpact productionready solutions aligned to enterprise priorities.

• Own the endtoend engineering execution of data AI and machine learning solutions from domain onboarding and data sourcing through certification production deployment and operationalization.

• Serve as the senior engineering leader accountable for delivery quality technical rigor and production reliability across data engineering AI engineering ML engineering agentic systems BI & analytics and intelligent automation.

• Deploy specialized engineering teams to complex ambiguous business problems rapidly designing and implementing solutions that reduce timetovalue and deliver measurable outcomes.

• Oversee the certification and operationalization of Authorized Data Sources and AIready data products ensuring data quality lineage access control audit readiness and agentreadiness standards are met.

• Establish and reinforce AIassisted engineering practices embedding AI tooling into the development lifecycle to materially increase engineering productivity and velocity.

• Partner closely with business leaders and transformation sponsors to translate strategic priorities into executable engineering roadmaps and delivery plans.

• Collaborate with platform architecture security and governance leaders to ensure solutions are engineered in alignment with enterprise standards while maintaining delivery speed.

• Ensure AI and data solutions are built with operational readiness in mind including monitoring observability incident management and postdeployment support as teams rotate to new domains.

• Provide handson technical leadership and act as an escalation point for complex engineering decisions delivery risks and design tradeoffs.

• Communicate engineering progress risks and outcomes clearly to executive stakeholders enabling informed prioritization and investment decisions.

• Build and sustain a highperformance inclusive engineering culture focused on craftsmanship continuous learning accountability and missiondriven execution.

The Skills & Expertise You Bring

• Bachelors degree in computer science engineering or a related field; advanced degree preferred.

• Extensive experience leading largescale data and AI engineering organizations in complex enterprise environments.

• Deep handson expertise across data engineering AI engineering machine learning engineering and analytics with a strong understanding of how these capabilities come together in production.

• Proven track record of delivering productiongrade data and AI solutions that drive real business outcomes not just pilots or proofs of concept.

• Strong technical fluency in modern data and AI stacks including data pipelines ML and LLM lifecycle management model deployment feature engineering and AIenabled solution design.

• Demonstrated ability to deploy and lead elite engineering teams against highstakes highvisibility enterprise initiatives.

• Experience operating in a federated enterprise environment partnering effectively with platform architecture security and governance teams while retaining accountability for delivery.

• Strong business acumen with the ability to translate ambiguous business problems into clear executable engineering solutions.

• Exceptional communication and storytelling skills with the ability to explain complex technical concepts to executive and nontechnical audiences.

• Proven success building engineering leaders developing deep technical talent and scaling organizations without losing velocity or quality.

• Comfort operating in ambiguity making sound technical decisions under pressure and driving execution in fastmoving highly visible environments.

What we offer you:

• 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.