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AI Innovation Leader, Employee Benefits - Remote

OneDigital · United States · 2 mo ago
RemoteRemoteMarketing$100k–$160k/yrFull-time

About the role

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.

Essential Duties and 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.

What This Role Partners With

  • AI Product Team — tool selection and procurement, technical architecture, security, data/IT integration, centralized builds, and governance application.

  • Learning & Development — role-specific AI training curricula and practice-wide enablement programs.

  • Change Management — stakeholder analysis, adoption planning, and transition support.

  • Internal Communications — staff messaging, leadership alignment, and change narratives.

  • Marketing — external thought leadership, case studies, and client-facing AI content.

  • Project Management Office — pilot execution, rollout coordination, and timeline discipline.

  • Peer AI Innovation Leaders — cross-practice learning and reusable solutions across Employee Benefits, P&C, and HR Consulting.

What This Role Informs And Enables

  • Enterprise AI Governance. Represents the practice on governance matters and applies enterprise policy within the practice; does not author enterprise policy.

  • Enterprise Tool Selection. Contributes practice requirements and use cases; final architecture and procurement decisions sit with the AI Product Team.

  • Risk and Compliance Frameworks. Ensures practice-level adherence to enterprise AI risk standards; does not own the framework itself.

Core Competencies

  • Translation — converts fluently between business language and AI capability in both directions.

  • Practice Fluency — deeply understands the practice’s service model, client needs, and economic drivers.

  • Influence Without Authority — drives outcomes through matrixed teams and peer partners.

  • Execution Discipline — moves use cases from idea to pilot to production with rigor.

  • Change Leadership — builds buy-in, manages resistance, sustains adoption.

  • Hands-on Technical Fluency — personal experience using and prototyping with current AI tools (e.g., custom GPTs, Copilot agents, low-code automation platforms); able to mock up proofs of concept, evaluate model outputs critically, and credibly direct technical builders.

  • Field-Facing Communication and Curiosity — communicates AI capabilities in practical, “what’s in it for me” terms that energize consultants; listens actively, asks sharp questions, and consistently brings field insight back to refine tools, training, and roadmap.

  • Adaptability — thrives in ambiguity and evolves approach as the AI landscape, tooling, and practice needs change.

  • Executive Presence — credible with senior leadership, consultants, and clients.

Qualifications, Skills and 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.

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