Vice President, Data and AI Architect
pgimEast Newark (NJ)
$221,900.00–$333,000.00
Apply (opens in a new tab)Vice President, Data and AI Architect
Posted today
pgimEast Newark (NJ)
SENIORITY
Manager
SALARY
$221,900.00–$333,000.00
About the role
Overview:
In this principal role you will shape Prudential’s data and AI future, leading the architectural direction across enterprise data, AI strategy, and platform capabilities. You’ll bridge Enterprise Architecture and the Chief Data & AI Office to unify governance, data platforms, and AI initiatives at scale. You will translate innovation into enterprise-ready solutions while balancing risk, governance, and delivery in a large global organization. You’ll build and mentor a high-performing Data & AI Architecture team, driving measurable business value. This is a chance to define the foundation for Agentic AI and modern data ecosystems at Prudential. Compensation / Benefits salary range $221,900.00–$333,000.00 market competitive base salaries with yearly bonus potential medical, dental, vision, life, disability insurance 401(k) with company match pension plan wellness programs & personal wellbeing reimbursements
Responsibilities:
Define target-state Enterprise Data & AI Architecture and long-term roadmap Collaborate with CDAIO leadership to evolve data & AI ecosystem, platform strategy, governance, and capability roadmaps Shape data and AI platforms including data products, lakehouse capabilities, metadata, data quality, governance, and AI platform services Establish enterprise standards, reference architectures, and governance frameworks for scalable, trusted Data & AI capabilities Lead evaluation and adoption of emerging Data & AI technologies and responsible integration into the enterprise Define architectural approaches for Generative AI, Agentic AI, AI Assistants and future AI capabilities Participate in architecture reviews, design sessions, and delivery activities to accelerate implementation Build and develop a high-performing Data & AI Architecture capability with focus on technical excellence and continuous learning
Key requirements:
Bachelor’s degree Significant leadership experience in enterprise/data architecture, software engineering, AI engineering, platform engineering, or technology strategy in large organizations Proven track record in transformational technology initiatives balancing innovation, scale, governance, and business outcomes Experience leading enterprise Data & AI transformations and translating technologies to measurable business value Deep knowledge of modern Data & AI ecosystems (data platforms, lakehouse, governance, Generative AI, Agentic AI, enterprise AI platforms) Experience moving organizations from experimentation to scalable, repeatable capabilities that drive value Practical experience shaping data & AI platforms, governance models, and operating practices for enterprise adoption Credibility engaging executives, architects, engineers, product teams, and business leaders to shape strategy and investments Hands-on technology leadership; able to review architectures, platform configurations, and code; comfortable delivering directly with engineering teams Commitment to staying technically current with emerging technologies and architectural practices Executive communication Strategic thinking Collaborative leadership Data platforms and lakehouse architectures Data governance and metadata management AI platform services and governance models
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