Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Job Classification: Technology - Architecture

Data and Artificial Intelligence are rapidly becoming foundational capabilities that will transform how Prudential builds software, operates platforms, serves customers, empowers employees, and creates business value.

Prudential is seeking a Vice President, Enterprise Data & AI Architect to help define and build the future of Data and AI across the enterprise. Reporting to the Chief Architect, this highly visible leadership role sits at the intersection of enterprise architecture, data architecture, AI strategy, platform engineering, and business transformation.

The position plays a unique role in Prudential’s technology leadership model, connecting Enterprise Architecture and the Chief Data & AI Office to help ensure a unified approach to enterprise data, AI strategy, platforms, governance, and execution. We are looking for a leader who combines strategic vision with deep technical expertise and a passion for staying at the forefront of innovation. Prudential is actively investing in strategic Data & AI accelerators focused on transforming how we build software, operate platforms, empower employees, serve customers, and grow the business. The successful candidate will help lead the architectural evolution of these capabilities, ensuring that innovations such as modern data platforms, Generative AI, AI Assistants, Agentic AI, and emerging human + AI operating models translate into scalable enterprise solutions that deliver measurable business value. Success will require balancing innovation with the realities of a large global enterprise. The successful candidate will help Prudential unlock value from modern data and AI capabilities while navigating an environment that includes mainframe platforms, multiple systems of record, complex identity resolution challenges, and decades of critical business data.

Your Team & Role

As a member of both the Enterprise Architecture Leadership Team and the Chief Data & AI Office (CDAIO) Leadership Team, this leader helps ensure Prudential’s data architecture, AI strategy, platforms, and governance evolve as a unified enterprise capability.

This position was created to bridge strategy and execution, connecting long-term architectural direction with the practical realities of building and scaling enterprise Data & AI capabilities.

This is not a traditional architecture role centered on review and governance. The successful candidate will share responsibility for defining enterprise strategy, architectural direction, platform capabilities, governance frameworks, and long-term technology roadmaps while remaining closely connected to delivery.

The role serves as Prudential’s architectural leader for:

1. Enterprise Data & AI Strategy

2. Enterprise Data Architecture

3. Data Platforms and Lakehouse Architectures

4. AI Platform Architecture

5. Agentic AI and Emerging AI Capabilities

6. Data and AI Governance

What You Can Expect on a Typical Day

You will serve as an enterprise thought leader, strategist, builder, and trusted advisor helping Prudential navigate one of the most significant technology shifts in its history.

You will:

· Define and evolve Prudential’s Enterprise Data & AI Architecture vision, target-state architecture, and long-term roadmap.

· Collaboratively lead, with CDAIO leadership, the evolution of Prudential’s enterprise Data & AI ecosystem, including platform strategy, governance, and capability roadmaps.

· Help shape the evolution of Prudential’s enterprise data and AI platforms, including data products, lakehouse capabilities, metadata management, data quality, governance, and AI platform services.

· Establish enterprise standards, architectural patterns, reference architectures, and governance frameworks that enable scalable, reusable, and trusted Data & AI capabilities.

· Lead the evaluation and adoption strategy for emerging Data & AI technologies and determine how new capabilities can be responsibly introduced into the enterprise.

· Define architectural approaches that enable the adoption of Generative AI, Agentic AI, AI Assistants, and future AI capabilities as the market continues to evolve.

· Participate actively in architecture reviews, engineering discussions, platform design sessions, and delivery activities to help accelerate implementation and remove technical obstacles.

· Build and develop a high-performing Data & AI Architecture capability that promotes technical excellence, innovation, and continuous learning.

The Skills & Expertise You Bring

Education & Experience

· Bachelor’s degree required; advanced degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Information Management, or a related discipline preferred.

· Significant experience leading enterprise architecture, data architecture, software engineering, AI engineering, platform engineering, or technology strategy initiatives within large, complex organizations.

· Demonstrated success leading transformational technology initiatives that require balancing innovation, scale, governance, and business outcomes.

Enterprise Data & AI Leadership

· Demonstrated experience leading enterprise Data & AI transformations and helping organizations translate emerging technologies into measurable business value.

· Deep understanding of modern Data & AI ecosystems, including data platforms, lakehouse architectures, data governance, Generative AI, Agentic AI, and enterprise AI platforms.

· Track record of moving organizations beyond experimentation to establish scalable, repeatable capabilities that drive productivity, customer value, and business impact.

· Practical experience shaping Data & AI platforms, engineering approaches, governance models, and operating practices that enable enterprise adoption.

· Credibility as a Data & AI thought leader who can engage executives, architects, engineers, product teams, and business leaders in shaping future strategy and technology investments.

Technical Leadership & Delivery

· Comfortable operating as a hands-on technology leader, engaging directly with engineers and platform teams during active delivery.

· Experience reviewing architecture implementations, platform configurations, engineering designs, and code contributions.

· Ability to quickly diagnose technical challenges, remove delivery obstacles, and provide pragmatic guidance to engineering teams.

· Passion for remaining technically current and personally engaged in emerging technologies and architectural practices.

Who Will Be Successful Here

The most successful candidate will not view architecture as a review process.

They will be energized by building.

They will combine executive leadership with genuine technical curiosity and remain immersed in the technologies, platforms, engineering practices, and market developments shaping the future of Data & AI.

They will remain actively engaged in technical delivery. While operating at an executive level, they will be comfortable reviewing designs, evaluating implementations, troubleshooting technical challenges, and working directly with engineering teams to accelerate outcomes.

They will be equally comfortable shaping strategy with executives, defining target-state architectures, and participating directly in technical discussions that result in tangible enterprise capabilities.

What Success Looks Like

Early Success (First 6–12 Months)

· Establish the target-state Enterprise D