Sr. Manager, Enterprise AI Operating Strategy

Versant•New York, NY

15h•$160,000 - $180,000•Onsite

About The Position

Versant is seeking a forward-looking, execution-oriented leader to serve as Sr. Manager, Enterprise AI Operating Strategy within the Enterprise Transformation Office. This role will help shape how AI is applied across the company in practical, scalable, and business-relevant ways. Sitting at the intersection of enterprise strategy and operational execution, this leader will help define Versant’s AI operating model and translate emerging capabilities into workflows, priorities, and measurable business outcomes. The role will partner across business, transformation, and technology teams to ensure AI efforts are aligned to strategic goals, embedded into ways of working, and positioned to deliver durable value across the organization. The ideal candidate brings a blend of AI fluency, strategic thinking, business judgment, process design, and cross-functional execution. This person will play a key role in helping Versant move beyond experimentation and into repeatable, enterprise-level impact.

Requirements

Bachelor’s degree or equivalent practical experience in Business, Technology, Operations, Strategy, Transformation, or a related field
7+ years of experience in AI strategy, digital transformation, strategic operations, consulting, program leadership, or related roles
Strong understanding of workflow design, business process change, and enterprise technology enablement
Experience driving cross-functional operating model, workflow, or transformation initiatives at the enterprise level
Ability to translate emerging technical capabilities into practical business applications and operational improvements
Strong strategic thinking paired with a bias for execution and follow-through
Strong cross-functional leadership, communication, and stakeholder management skills
Comfort operating in dynamic environments with evolving priorities and emerging technologies

Nice To Haves

Experience supporting rollout of new workflow tools or AI-enabled operating practices
Experience in enterprise transformation, operating model design, or change execution across complex organizations
Experience in media, entertainment, broadcast, or technology environments
Familiarity with workflow design methods, business process improvement approaches, and value realization frameworks

Responsibilities

Run the day-to-day operating responsibilities of Versant’s enterprise AI center of excellence, including governance, prioritization, coordination, and shared learning
Translate enterprise AI priorities into clear operating rhythms, intake processes, and decision forums
Identify, assess, and prioritize AI opportunities aligned to business needs, transformation priorities, and operational value
Help shape enterprise guidance, standards, and decision frameworks for practical, scalable, and business-relevant AI usage
Support decisions on where enterprise coordination, shared standards, or centralized sponsorship are needed versus where functions can move independently
Translate AI capabilities into workflows that improve speed, quality, decision-making, and efficiency across the organization
Partner with functions to identify where AI can be embedded into day-to-day processes and where changes in ways of working may be required
Support the rollout and adoption of AI-enabled workflows tied to priority enterprise and functional initiatives
Identify opportunities to standardize, scale, or reuse AI-enabled workflows across functions where appropriate
Help establish clear approaches for measuring business value, workflow effectiveness, and adoption across AI initiatives
Track impact, lessons learned, and scale opportunities across use cases and enterprise efforts
Surface tradeoffs, sequencing decisions, and dependencies required to scale AI effectively across the organization
Serve as a central point of coordination across business, transformation, and technology stakeholders to connect priorities, outcomes, and follow-through
Continuously improve how AI efforts are governed, adopted, and translated into measurable enterprise value