Principal Consultant, Internal AI

Team: Artificial Intelligence

Location: United States

Commitment: Full Time

Workplace Type: remote

Duties/Responsibilities

Lead Reimagination 

• Embed with assigned business units to surface technology transformation opportunities through structured discovery and diagnostic sessions. 

• Facilitate design-thinking workshops to translate fuzzy pain points into well-scoped problem statements, success criteria, and MVP candidates. 

• Guide stakeholders through AHEAD's use case intake funnel, determining whether a use case is a citizen development opportunity, a quick win, or a longer development effort. 

• Champion a consistent, repeatable approach to enable scale. 

Bridge Technology and Business 

• Serve as the strategic continuity layer between business units and technology delivery teams, ensuring cohesion across citizen and complex use cases. 

• Provide informed guidance on platform fit without serving as the technical architect; connect the right people at the right time. 

• Collaborate with cross-functional stakeholders to ensure solutions are executable within AHEAD's delivery model. 

Drive Adoption & Change Readiness 

• Assess workforce and role impacts alongside AI solution design; flag when change management, role redesign, or training is needed and pull in the right change management partners. 

• Support BU stakeholders through the full adoption arc — from first demo through sustainable, embedded use — ensuring AI solutions don't land on a shelf. 

• Build momentum by capturing and sharing early wins, time savings, and adoption metrics that demonstrate business value back to leadership. 

Own Stakeholder & Executive Engagement 

• Manage relationships with business leaders, development team members, and senior sponsors across your assigned domain. 

• Communicate progress, trade-offs, and prioritization decisions clearly to executive and non-technical stakeholders. 

• Represent your team’s work in leadership forums, contributing a grounded, business-backed perspective to platform and roadmap decisions. 

Measure & Report Impact 

• Define success metrics at the use case level — time saved, errors reduced, adoption rate, headcount impact — and track them consistently. 

• Contribute to show-back / charge-back accountability model with clear, honest reporting on business value delivered. 

• Proactively surface blockers, risks, or capacity constraints to course-correct before they become larger issues.