Principal Consultant, Internal AI
AHEADAbout the role
The Principal Consultant, Internal AI, is a hands-on, cross-functional role embedded within AHEAD's internal AI transformation function. You will serve as the connective tissue between business units, the Transformation Office, and technology delivery squads - guiding each BU through AI-powered workflow reimagination from discovery through adoption. You will not just advise; you will facilitate, translate, drive, and track value creation. You will partner with engineers and change management experts to bring structured design-thinking methodology, AI platform knowledge, and stakeholder management skills to turn ambiguous business friction into scoped, high-impact technology solutions.
Duties/Responsibilities
Lead Reimagination
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Embed with assigned business units to surface technology transformation opportunities through structured discovery and diagnostic sessions.
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Facilitate design-thinking workshops to translate fuzzy pain points into well-scoped problem statements, success criteria, and MVP candidates.
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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.
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Champion a consistent, repeatable approach to enable scale.
Bridge Technology and Business
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Serve as the strategic continuity layer between business units and technology delivery teams, ensuring cohesion across citizen and complex use cases.
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Provide informed guidance on platform fit without serving as the technical architect; connect the right people at the right time.
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Collaborate with cross-functional stakeholders to ensure solutions are executable within AHEAD's delivery model.
Drive Adoption & Change Readiness
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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.
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Support BU stakeholders through the full adoption arc — from first demo through sustainable, embedded use — ensuring AI solutions don't land on a shelf.
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