Principal Consultant, Internal AI
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- 148 open roles at this company in 30 days (mass-hiring blitz)
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About the role
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 lead ers , development team members , and senio r 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.
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