AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
The AI Adoption Lead is AHEAD's embedded human answer to the gap between AI deployment and realized value. This is a people-first, business-embedded transformation role, part change manager, part org designer, part coach, and part workforce strategist, dedicated to a specific business unit (BU). Reporting to the VP, Talent and Workforce Transformation, the AI Adoption Lead ensures that thebusiness unit’s employees are genuinely ready to work alongside AI: with the right skills, redesigned roles, reimagined workflows, and the confidence to operate in a continuously evolving environment.
Duties/Responsibilities
Education and Experience
Minimum Required:
- 8+ years in change management, HR transformation, org effectiveness, or related people and OD roles
- Demonstrated experience leading large-scale technology or digital transformation from the people side
- Strong grasp of change frameworks and ability to adapt them to AI contexts
- Experience in workforce planning, role design, or job architecture
- Ability to build trust and credibility with business unit leaders and frontline employees
- Data literacy with comfort using adoption metrics and workforce analytics to drive decisions
- Personal proficiency with AI tools and genuine enthusiasm for AI-augmented work
Preferred:
- Experience embedded in a business unit (not just HR or CoE roles)
- Exposure to agentic AI, automation workflow design, or human-in-the-loop process redesign
- Background in learning & development or capability-building at scale
- Knowledge of org design principles and structural assessment methodologies
- Experience with skills-based talent models and dynamic workforce planning tools
- Industry knowledge aligned to the target business unit
- Certification or coursework in AI transformation leadership
The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
USA Employment Benefits include:
- Medical, Dental, and Vision Insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
You may opt-out of the review or analysis of your application and resume by AI tools by using the
General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.
