Senior Program Manager, Strategic AI

CohnReznick• , FL

1d•Remote

About The Position

As CohnReznick grows, so do our career opportunities. As one of the nation’s top professional services firms, CohnReznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do! CohnReznick helps organizations optimize performance, manage risk, and maximize value through CohnReznick LLP (assurance services) and CohnReznick Advisory LLC (advisory and tax services). Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients’ unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia. We currently have an exciting career opportunity for a Senior Program Manager to join the Strategic AI team . CohnReznick is a hybrid firm and most of our professionals are located within a commutable distance to one of our offices. This position is considered remote which means it does not require job duties be performed within proximity of a CohnReznick office location. However, as a remote employee, you may be required to be present at a CohnReznick office with scheduled notice for client work, team meetings, or trainings. YOUR TEAM. The Senior Program Manager, Strategic AI will play a critical role in translating emerging AI capabilities into scalable, firm‑ready solutions that deliver measurable business value. This role sits at the intersection of program delivery, portfolio coordination, and stakeholder communication, supporting the firm’s Strategic AI initiatives. This is not a traditional EPMO role. The Strategic AI portfolio operates in an iterative, experimental, and rapidly evolving environment, where timelines are fluid and solutions mature through rapid iterations. Success depends on active portfolio resourcing, sequencing, and timeline management—combined with clear communication, governance, risk management, and adoption readiness. The role works in close collaboration with the Strategic AI team and Senior AI Solution Managers to execute the portfolio. The core scope is to own end-to-end program delivery from inception, orchestrate rollout phases, manage the overall schedule and interdependencies, and lead change management through coordinated communications, enablement, and support planning. WHY COHNREZNICK? At CohnReznick, we’re united by a common mission to create opportunity, value, and trust for our clients, our people, and our communities. Whether it’s working alongside your peers to solve a client challenge, or volunteering together at the local food bank, there are so many ways to find your “why” at the firm. We believe it’s important to balance work with everyday life – and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.

Requirements

Strong communication and organizational skills
5-7+ years of experience in technical program management, project management, or hybrid delivery roles
Demonstrated experience working with AI in fast‑moving environments (emerging tech, digital innovation, gen AI, or advanced analytics)
Strong stakeholder management skills, including executive‑level communication.
Experience balancing delivery velocity with risk, compliance, and governance requirements.
Ability to translate technical concepts into business‑friendly narratives and decisions.

Nice To Haves

Experience supporting Gen AI, automation, data, or platform‑based solutions, including enablement and adoption in complex stakeholder environments.
Familiarity with iterative / agile delivery models that do not rely on fixed scopes or dates.
Actively using GenAI tools in daily work to improve program management and project management processes
Background in professional services, advisory, audit, tax, or regulated environments
Experience working with intake platforms, portfolio tools, or product boards (e.g., Monday.com)

Responsibilities

Program, Portfolio & Delivery Orchestration Own end‑to‑end program delivery across the Strategic AI portfolio—from intake through pilot, refinement, and coordinated firm‑wide rollout.
Translate loosely defined AI concepts into clear workstreams, milestones, resourcing plans, and integrated timelines, while respecting the iterative nature of AI development
Partner with Strategic AI leaders and Solution Managers to define success measures, rollout phases, readiness criteria, and adoption targets aligned to business outcomes (quality, efficiency, experience)
Coordinate with technical teams and third‑party vendors to enable repeatable AI capabilities, including release coordination, rollout sequencing, and dependency management.
Stakeholder & Governance Coordination Function as the primary liaison between Strategic AI, Executive Sponsors, EPMO, Organizational change management, Legal/Risk, and delivery partners
Ensure AI initiatives comply with the firm’s AI‑specific governance and risk framework.
Support intake triage and prioritization using established Strategic AI intake paths (Copilot, third‑party tools, IT review, Strategic AI solution)
Prepare executive‑ready updates that balance transparency with the realities of AI experimentation.
Reporting, Visibility & Adoption Develop lightweight but effective reporting mechanisms that communicate progress, risks, and next steps without forcing traditional waterfall artifacts.
Lead coordination of the enablement rollout plan—communications, training, documentation, and the support model—to drive adoption as AI capabilities enter broader use.
Track and communicate rollout phase status, delivery priority, estimated production readiness, and adoption signals across the Strategic AI portfolio; surface risks and required decisions.
Portfolio & Continuous Improvement Help evolve standards, templates, and operating models for managing AI initiatives at scale.
Identify recurring bottlenecks (intake, governance, adoption, support) and propose pragmatic improvements.
Contribute to shaping how Strategic AI projects are staffed, sequenced, and productized over time.