Page Mechanical Group, Inc.
Assistant Vice President, Cognitive Engineering Products and Services (Gen AI)
Page Mechanical Group, Inc., Vienna, Virginia, United States, 22184
Overview
Hybrid Role: Vienna, VA
Permanent Placement Opportunity
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 our client's 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 plays a pivotal role in fostering a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments.
In collaboration with business stakeholders, technology partners, and cross-functional teams, the AVP oversees the design and implementation of an enterprise AI platform, ensuring alignment with strategic goals and governance standards. This leader brings deep expertise in cognitive technologies—such as Machine Learning, Natural Language Processing, Generative AI and Agentic AI—and is responsible for identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. The AVP serves as a catalyst for 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
Partners 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
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field- advanced degree preferred
15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives in complex, multi-functional environments
Proven track record in designing, deploying, and scaling AI solutions—including LLMs, Agentic AI, and prompt engineering—within cloud-native, production-grade environments
Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control Plane
Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration
Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments
Experience in delivering AI augmented capabilities to generate productivity and process efficiencies (Github, CoPilot, IBM Watsonx, or similar)
Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantly
Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence
Extensive experience with AIOps practices including MLOps, building and managing end-to-end AI pipelines, implementing observability frameworks, monitoring model performance in production, managing incidents, and applying automated remediation techniques to ensure reliability, scalability, and compliance of AI systems
Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution
Exceptional communication and executive presentation skills, with the ability to translate complex AI concepts into strategic insights for technical and non-technical stakeholders
Desired Qualifications
Master's or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field
Knowledge of our client's instructions, standards, and procedures
Expert knowledge of our client's products, services, programs, policies and procedures
Experience leading an AI Center for Enablement
Expert knowledge of banking/financial industry trends, products, and services
Experience building and supporting Enterprise grade APIs
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Permanent Placement Opportunity
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 our client's 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 plays a pivotal role in fostering a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments.
In collaboration with business stakeholders, technology partners, and cross-functional teams, the AVP oversees the design and implementation of an enterprise AI platform, ensuring alignment with strategic goals and governance standards. This leader brings deep expertise in cognitive technologies—such as Machine Learning, Natural Language Processing, Generative AI and Agentic AI—and is responsible for identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. The AVP serves as a catalyst for 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
Partners 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
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field- advanced degree preferred
15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives in complex, multi-functional environments
Proven track record in designing, deploying, and scaling AI solutions—including LLMs, Agentic AI, and prompt engineering—within cloud-native, production-grade environments
Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control Plane
Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration
Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments
Experience in delivering AI augmented capabilities to generate productivity and process efficiencies (Github, CoPilot, IBM Watsonx, or similar)
Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantly
Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence
Extensive experience with AIOps practices including MLOps, building and managing end-to-end AI pipelines, implementing observability frameworks, monitoring model performance in production, managing incidents, and applying automated remediation techniques to ensure reliability, scalability, and compliance of AI systems
Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution
Exceptional communication and executive presentation skills, with the ability to translate complex AI concepts into strategic insights for technical and non-technical stakeholders
Desired Qualifications
Master's or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field
Knowledge of our client's instructions, standards, and procedures
Expert knowledge of our client's products, services, programs, policies and procedures
Experience leading an AI Center for Enablement
Expert knowledge of banking/financial industry trends, products, and services
Experience building and supporting Enterprise grade APIs
#J-18808-Ljbffr