About The Position

The AI Innovation Leader is the embedded innovation leader for an assigned practice, driving practice-specific application of AI in partnership with OneDigital’s central AI Product Team. The role exists to accelerate AI adoption within the practice without adding to the National Practice Leader’s operational load. The AI Innovation Leader is the connective tissue between the practice and the AI Product Team — translating practice priorities into a use case pipeline, leading practice-embedded builders, and driving adoption through OneDigital’s internal support functions (L&D, Change Management, Communications, Marketing, and the Project Management Office). They are accountable for AI outcomes within the practice. They are not accountable for building enterprise AI infrastructure, authoring governance policy, or personally executing training, change, or marketing work. AI is a new and fluid space, and OneDigital’s approach to AI development within the practices will evolve as tools mature, use cases emerge, and the market shifts. This role requires a leader who is energized by that ambiguity — comfortable operating without a fixed playbook, adjusting strategy as the landscape changes, and partnering with the AI Product Team to shape an approach that will itself continue to change over time.

Requirements

  • 8+ years of progressive experience in insurance brokerage, benefits consulting, HR advisory, or a closely adjacent professional services domain
  • 3+ years in a leadership, strategy, or innovation role
  • Demonstrated experience leading technology adoption, digital transformation, or organizational change initiatives
  • Hands-on experience using AI tools in a work context — including prompt engineering, evaluating model outputs, and building prototypes with custom GPTs, Copilot agents, or low-code automation platforms (e.g., Power Automate, Zapier)
  • Experience operating in a matrixed organization, influencing across practice, product, and corporate functions
  • Bachelor’s degree required
  • AI/ML coursework, certifications, or formal training in AI strategy or digital transformation valued but not require

Nice To Haves

  • Advanced degree (MBA, MS, or equivalent) preferred
  • Working knowledge of LLM capabilities, agentic workflows, and data readiness concepts preferred.

Responsibilities

  • Develop and maintain a rolling AI roadmap specific to the practice, aligned to enterprise AI strategy and practice growth priorities.
  • Identify, evaluate, and sequence AI use cases with the highest business and client impact for the practice (e.g., benefits benchmarking and plan design analytics for EB; submission intake and placement workflow for P&C; compliance research and policy review for HR Consulting).
  • Translate AI opportunities into clear business cases for the National Practice Leader, practice leadership, and clients.
  • Provide day-to-day direction, priority-setting, and performance oversight to AI builders within the practice, with technical architecture and oversight from the AI Product Team.
  • Own practice-level adoption, active usage, and business impact — ensuring AI tools are integrated into core workflows and generating measurable value.
  • Serve as the visible face of AI within the practice — communicating new tools and capabilities in terms that resonate with consultants, energizing the field around practical value, and surfacing friction, ideas, and unmet needs back to the AI Product Team to refine tools, approaches, and roadmap.
  • Serve as the single point of integration between the National Practice Leader and the AI Product Team — surfacing practice needs, aligning on build-vs.-buy decisions, and ensuring the practice’s voice is represented in enterprise AI planning.
  • Define the external AI story for the practice — shaping client-facing positioning, thought leadership, and business development messaging, in partnership with Marketing and Business Development.

Benefits

  • health, wellbeing, retirement, and other financial benefits
  • paid time off
  • overtime pay for non-exempt employees
  • robust learning and development programs
  • reimbursement of job-related expenses per the company policy
  • employee perks and discounts
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