Vice President, Data & AI Platforms

Job Classification:Technology - Agile, Delivery, & ProductAre you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology and Operations team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.Your Team & RoleAs you will play a critical enterprise leadership role within Global Technology. You will own the strategy, governance, and delivery of Prudential’s enterprise data and AI platforms, including the central platform, AI/ML platform, data platforms, data engineering, enterprise data management, modeling, analytics operations, and supporting tooling and shared services.This role is accountable for platform vision, roadmap, investment alignment, and operational excellence—ensuring platforms scale securely, reliably, cost‑effectively, and consistently across the enterprise. You will oversee ML operations (MLOps), data operations, engineering operations, FinOps, and platform site reliability engineering (SRE) as core enterprise capabilities.In close partnership with the CTO, you will lead the enterprise data and AI platform organization as responsibilities evolve with the operating model. You will define core capabilities, shared frameworks, and operational standards that enable reuse, interoperability, reliability, and secure self‑service across business units.This role requires deep collaboration with business functions, enterprise architecture, infrastructure, security, and application technology teams. We are seeking a leader who combines strong technical depth with enterprise product and operational leadership—someone who can translate strategy into scalable platforms, align diverse stakeholders, and build high‑performing engineering organizations.What You Can Expect on a Typical DayDefine and own the enterprise vision, strategy, and roadmap for data, AI/ML, and central platforms, aligned to Prudential’s business, data, AI, and technology strategies.Lead enterprise platform engineering, including the central platform, AI/ML platform, and data platforms, encompassing architecture, engineering, and modernization efforts.Centrally manage core data and AI platforms and shared services, driving consistency, reuse, scalability, operational maturity, and adoption across business units and functions.Oversee ML Operations (MLOps) to ensure reliable model development, deployment, monitoring, and lifecycle management at enterprise scale.Establish and lead data operations and engineering operations, including platform support models, run‑time stability, on‑call practices, and continuous improvement of delivery and operational metrics.Own platform SRE capabilities, ensuring resilience, availability, performance, incident management, and platform observability across data and AI platforms.Lead FinOps practices for data and AI platforms, including cloud cost visibility, optimization, forecasting, and investment alignment in partnership with finance and infrastructure teams.Oversee enterprise data and AI applications (e.g., Enterprise Data Platform), partnering closely with Division Technology Leaders to ensure alignment, value realization, and responsible platform usage.Manage enterprise data and AI tooling and services, including marketplace capabilities, data catalog, ModelOps tooling, and CDO operational platforms.Establish and govern enterprise standards, policies, and controls for data and AI platforms, services, and tooling, ensuring alignment with information security, risk, and compliance requirements.Partner with Enterprise Architecture to define and evolve reference architectures, solution patterns, and shared frameworks for data and AI platforms.Define and enable self‑service platform capabilities that expand access to approved data and AI features while maintaining governance, reliability, and controls.Liaise with platform and tooling vendors to evaluate, procure, and manage enterprise capabilities, features, and services.Lead and inspire global engineering and product teams, partnering closely with CIO and CTO organizations on DevOps pipelines, APIs, platform reliability, and operational excellence.Foster a culture of inclusion, curiosity, accountability, and continuous learning.Communicate clearly and effectively with executive stakeholders, product partners, and delivery teams.The Skills & Expertise You BringBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience (including military experience).Progressive leadership experience across data platforms, AI/ML platforms, central platforms, and enterprise engineering organizations delivering solutions at global scale.Deep experience building and operating MLOps, data operations, platform SRE, engineering operations, and FinOps capabilities in complex enterprise environments.Proven ability to define platform strategy, operating models, and investment priorities, including enterprise tooling, shared services, and cloud‑based data and AI infrastructure.Experience managing platforms and strategic capabilities in federated environments while driving enterprise‑wide adoption and standardization.Strong experience overseeing enterprise data and AI tooling, platforms, and vendor‑provided solutions.Expertise in agile delivery, modern engineering practices, DevOps, reliability engineering, and Test‑Driven Development (TDD).Proven ability to build, develop, and lead high‑performing global product and engineering teams.Ability to lead through influence in highly matrixed environments across business, application, infrastructure, and security teams.Excellent written and verbal communication skills; experience working in global and multilingual environments preferred.Commitmen