AVP - Cognitive Engineering Products & Services (Gen AI)

Overview

The Assistant Vice President (AVP) of Cognitive Engineering is a senior leader within the Enterprise Data and Information Management (EDIM) organization, responsible for shaping and executing the enterprise strategy for data science, advanced analytics, and applied artificial intelligence (AI). This key role leads the AI Center for Enablement, driving innovation, operational excellence, and the development of scalable AI capabilities. The AVP collaborates with business stakeholders, technology partners, and cross-functional teams to design and implement an enterprise AI platform, ensuring alignment with strategic goals and governance standards. The role requires deep expertise in cognitive technologies—such as Machine Learning, Natural Language Processing, Generative AI and Agentic AI—and a focus on transitioning AI solutions from incubation to enterprise-wide deployment. The AVP fosters innovation, talent development, and cross-functional collaboration across the organization.

Responsibilities

• Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with enterprise goals and transformation initiatives
• Provide executive oversight for the AI Center for Enablement, ensuring its services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business value.
• Oversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partners.
• Partner with senior leaders across business and IT to identify high-impact AI use cases, shape technology roadmaps, and accelerate the transition of AI solutions from incubation to production.
• Champion the establishment of governance frameworks that ensure the ethical, secure, and explainable use of AI technologies, working closely with Model Risk Management, Cybersecurity, and the AI Working Group.
• Lead the evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI and Agentic AI through structured research, prototyping, and enterprise roadmap development.
• Build and maintain strategic partnerships with leading AI vendors, cloud providers, and consulting firms to accelerate capability development and deliver tangible outcomes for members and internal stakeholders.
• Accelerate use of AI capabilities and toolset across the enterprise delivering productivity and driving process efficiencies for the workforce
• Deliver the AI Literacy program across all organization levels in collaboration with industry partners and the Talent Development team.
• Develop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaboration.
• Establish enterprise-level success metrics for AI initiatives, ensuring measurable impact, high adoption, and alignment with EDIM and enterprise architecture standards.
• Enable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation across the organization.
• Drive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiatives. Apply Scaled Agile principles to ensure timely delivery, iterative value realization, and alignment with enterprise priorities

Qualifications

Desired Qualifications

Seniority level

Employment type

Job function

J-18808-Ljbffr