Job Classification:

As the Vice President, Data & AI Engineering, reporting to the Chief Data & AI Officer, you will lead Prudential’s forward deployed data and AI engineering organizations responsible for building, scaling, and operationalizing trusted, AIready data products across the enterprise.Your organization functions as Prudential’s front‑line delivery engine for data and AI, deploying elite engineering teams to the company’s highest‑priority 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 Prudential’s most complex, high‑impact AI‑driven opportunities.

What You Can Expect on a Typical Day

• Lead and scale forward‑deployed data and AI engineering acceleration teams that rotate across business domains to deliver high‑impact, production‑ready solutions aligned to enterprise priorities.

• Own the end‑to‑end 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 time‑to‑value and deliver measurable outcomes.

• Oversee the certification and operationalization of Authorized Data Sources and AI‑ready data products, ensuring data quality, lineage, access control, audit readiness, and agent‑readiness standards are met.

• Establish and reinforce AI‑assisted 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 post‑deployment support as teams rotate to new domains.

• Provide hands‑on 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 high‑performance, inclusive engineering culture focused on craftsmanship, continuous learning, accountability, and mission‑driven execution.

The Skills & Expertise You Bring

• Bachelor’s degree in computer science, engineering, or a related field; advanced degree preferred.

• Extensive experience leading large‑scale data and AI engineering organizations in complex, enterprise environments.

• Deep, hands‑on 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 production‑grade 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 AI‑enabled solution design.

• Demonstrated ability to deploy and lead elite engineering teams against high‑stakes, high‑visibility 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 non‑technical 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 fast‑moving, highly visible environments.

• 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 Programsincluding 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.

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 Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.