Deputy Chief AI Officer

About Us:

NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests  NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset.

About the Role:

The Deputy Chief AI officer is responsible for leading NYSTEC's enterprise AI portfolio and advancing the organization's ability to responsibly adopt, build, govern, and commercialize artificial intelligence capabilities.

This role will serve as the operating leader for NYSTEC's AI investment model, ensuring AI work is organized, prioritized, governed, and measured across three investment lanes:

* Workforce Productivity AI

* Vendor-Embedded AI

* AI Use Case & Offering Enablement

The Deputy Chief AI Officer will report to the CTO and work closely with IT, Security, Legal, Finance, BD, Service Delivery, Strategy, HR, and business leaders to ensure AI investments create measurable value while maintaining NYSTEC's standards for security, ethics, compliance, and client trust.

Key Responsibilities:

Lead the Enterprise AI Portfolio

* Own and maintain NYSTEC's enterprise AI portfolio across the AI investment lanes.

* Establish a single intake, classification, scoring, and prioritization process for AI ideas and initiatives.

* Partner with the PMO to ensure AI initiatives are visible, tracked, sized, sequenced, and governed.

* Maintain an AI portfolio dashboard showing active pilots, vendor evaluations, internal use cases, client offerings, risks, costs, benefits, and decisions.

* Recommend which AI initiatives should be scaled, piloted, deferred, consolidated, or stopped.

* Ensure AI investments align with NYSTEC's strategic goals, operational maturity, financial model, security posture, and client-service mission.

Drive Workforce Productivity AI

* Lead the strategy for enterprise use of tools such as Microsoft 365 Copilot, ChatGPT, Copilot Studio, Teams AI features, and other approved AI productivity platforms.

* Develop role-based AI adoption patterns for executives, consultants, project managers, analysts, finance, legal, HR, IT, and service delivery teams.

* Create prompt libraries, training programs, playbooks, office hours, and adoption campaigns.

* Partner with HR, Learning, Service Delivery, and Communications to build AI literacy across the organization.

* Measure adoption, productivity gains, employee experience improvements, and reduction in repetitive work.

* Ensure responsible use policies are clear, practical, and consistently communicated.

Govern Vendor-Embedded AI

* Establish an AI SaaS readiness gate for vendor-provided AI features and add-ons.

* Evaluate AI modules in existing or proposed systems, including ERP, legal, HR, CRM, BI, service management, project management, and finance platforms.

* Partner with Procurement, Legal, Security, IT, and business owners to evaluate:

* Data usage and model training terms

* Security and privacy controls

* Permission inheritance

* Auditability

* Vendor lock-in

* Cost and licensing impact

* Business value

* Support model

* Integration complexity

* Prevent AI tool sprawl by determining whether vendor AI capabilities duplicate existing enterprise platforms.

* Recommend whether to approve, pilot, renegotiate, defer, or reject vendor AI capabilities.

Lead AI Use Case & Offering Enablement

* Build a structured AI use case development pipeline from idea to discovery, prototype, pilot, scale, reuse, or retirement. This pipeline should integrate with the Service Delivery Technology Investment process where applicable.

* Help business sponsors and Service Delivery leaders define problems in measurable terms before selecting technology.

* Assess use cases for value, feasibility, data readiness, risk, platform fit, ownership, operating model, reusability, and potential applicability to internal operations or client delivery.

* Coordinate with IT, Security, Data/BI, PMO, Service Delivery, and business teams to prototype AI-enabled workflows, applications, agents, and accelerators.

* Ensure each use case has a named business sponsor, product owner, success metric, data owner, and human-in-the-loop model.

* Support development of internal AI accelerators, including knowledge assistants, RFP response tools, contract analysis workflows, service desk assistants, onboarding tools, and project delivery accelerators.

* Where Service Delivery identifies client needs, support practice leaders in evaluating whether internal AI successes, reusable patterns, or accelerators can be adapted into client-facing offerings.

* Support proposal development, client demos, proof-of-concept design, and AI solution roadmaps when requested by Service Delivery.

* Coordinate with Legal, Security, Finance, Strategy, and Service Delivery to ensure AI-enabled offerings are compliant, scalable, supportable, financially viable, and aligned with NYSTEC's mission, public-sector…