Vice President, Data and AI Solution Architect

Job Classification:

Technology - Architecture

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 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 & Role

The Global Technology organization at Prudential is seeking a Vice President, Data and AI Solution Architect. Reporting to the Vice President, Head of Data & AI Architecture, you will participate in the development of architecture principles, patterns, standards, and reference materials to enable the creation of rich analytical and data science capabilities in new and existing platforms, supporting multiple businesses and corporate functions. This role requires a unique combination of skills: strong knowledge of data throughout its lifecycle from capture to storage to multi-channel consumption and disposition, deep technology knowledge to leverage automation wherever possible, the ability to work across and influence many partners (e.g., technology, business data stewards, regulatory, analytics) and both a strategic and technical mindset.

Here is What You Can Expect on a Typical Day

• Key thought leader, collaborator, and contributor, partnering across teams to define Architecture Patterns and Reference Architectures, and driving adoption to meet business and technology strategies.

• Define target state enterprise data architecture, including the strategy and architecture for creation and use of official data sources.

• Define and revise the enterprise data framework consisting of capabilities required of cross business and corporate function official data sources in the enterprise data architecture.

• Define and revise enterprise chatbot and agentic frameworks consisting of capabilities required to promote unified conversational platforms and also improved bot-based automation.

• Apply expertise in current, modem patterns and practices, across the disciplines of data management, data governance, data risk, data analytics and data science, to help realize our goal of creating differentiating, data-driven capabilities in the markets we serve.

• Partner with new data initiatives and related projects to ensure alignment to organization-wide target data strategy and architecture, including review and approval of key design documents.

• Define and review technical data standards and patterns and approve exceptions to standards. Ensure data architecture patterns are modern/current and built for reusability and can be easily explained and leveraged.

• In partnership with security architecture, determine enterprise-wide strategy for data security, access, and provisioning. Ensure technical data standards and data solution architecture designs align with security requirements and data governance policy objectives.

• Review and approve significant architectural changes in support of data quality remediation.

• Build reference architectures for use by CIO organizations and the CDO team that align with business and technology strategies.

• Provide solution architecture consultation and support for initiatives and product teams

• Scan the market for emerging solutions and new architectural concepts and technologies that address challenges or enable new use cases.

• Evaluate the application portfolio; apply Application Portfolio Management practices and influence application disposition for the application portfolio.

• Demonstrate a talent mindset by evangelizing architecture transformation, influencing adoption of the transformation, and driving modernization goals across product and data teams.

The Skills & Expertise You Bring

• Bachelor’s degree is required, preferably in Computer Science or Engineering

• At least 7+ years of technology leadership experience in data and AI architecture and development fields including significant experience in data management, inclusive of cloud infrastructure.

• Foundational Technical & Conceptual Acumen:

  • Experience of modern data solutions using cloud data services in AWS and Azure.

  • Knowledge of/experience with emerging machine learning and cognitive computing paradigms including Generative or Conversational AI or agentic AI within Fintech is a plus.

  • Experience with implementing or owning metadata management tools, data exchange and quality platforms and master data management platforms.