AI应用负责人
AI Adoption Lead
AHEAD 构建数字业务平台。通过整合云计算基础设施、自动化和分析,以及软件交付的最新进展,我们帮助企业在数字转型中实现承诺。
在 AHEAD,我们优先打造一种归属感文化,让所有观点和声音都被代表、重视、尊重并被倾听。我们创造空间,使每个人都能发声、推动改变,并引领 AHEAD 的文化。
我们是平等的雇主,不会基于个人的种族、国籍、肤色、性别、性别认同、性别表达、性取向、宗教、年龄、残疾、婚姻状况或其他适用法律下的受保护特征(无论实际或感知)进行歧视。
我们欢迎所有能为 AHEAD 的想法和视角多元化与丰富化做出贡献的候选人。
AI 采用负责人是 AHEAD 针对 AI 部署与实际价值之间差距的内部人解决方案。这是一个以人为核心、嵌入业务的转型角色,兼具变革管理者、教练和内部顾问的职责,专注于特定业务单元(BU)。向人才与劳动力转型副总裁汇报,AI 采用负责人确保该业务单元的员工真正准备好与 AI 协作:具备正确的技能、重新设计的角色、重新构想的工作流程,以及在持续变化的环境中运作的信心。
职责/工作内容
AI 变革策略与采用
- 设计并咨询 BU 层级的 AI 变革策略,将员工从 AI 实验者转变为 AI 加速者
- 制定并执行利益相关者参与计划,包括阻力分析和影响策略
- 在 BU 内建立倡导者和高级用户网络,以维持采用势头
- 监测采用信号,并根据实时采用数据调整干预措施
- 应对员工焦虑,建立围绕 AI 增强工作的心理安全感
角色与岗位重新设计
- 系统地分解 BU 内各角色的任务,识别 AI 自动化、增强或创造的内容
- 重新设计职位描述和角色档案,反映新的人员-AI 责任
- 与 BU 领导合作,定义新的 AI 增强型岗位系列和职业路径
- 识别可能被取代的岗位,并主动设计过渡路径
能力与技能建设
- 评估 BU 层级的 AI 熟练度,并识别跨职能、层级和工作方式的技能差距
查看英文原文
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 coach, and part internal consultant, dedicated to a specific business unit (BU). Reporting to the VP, Talent and Workforce Transformation, the AI Adoption Lead ensures that the business 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
AI Change Strategy & Adoption
- Design and consult on a BU-level AI change strategy, moving employees from AI experimenters to AI accelerators
- Develop and run stakeholder engagement plans, including resistance mapping and influence strategies
- Build a network of champions and superusers within the BU to sustain adoption momentum
- Monitor adoption signals and adjust interventions based on real-time uptake data
- Address employee anxiety and build psychological safety around AI-augmented work
Role & Job Redesign
- Conduct systematic task deconstruction across BU roles to identify what AI automates, augments, or creates
- Redesign job descriptions and role profiles to reflect new human–AI responsibilities
- Work with BU leaders to define new AI-augmented job families and career pathways
- Identify roles at risk of displacement and proactively design transition pathways
Capability & Skill Building
- Assess BU-level AI fluency and identify skill gaps across functions, levels, and workforce segments
- Commission or co-design targeted learning programs — technical, workflow, and mindset
- Integrate AI capability-building into daily workflows, not just stand-alone training events
- Develop manager enablement specifically for leading AI-augmented teams
- Track and report on capability uplift against BU transformation milestones
Culture & Responsible AI
- Build a culture of active participation in AI transformation, not passive compliance
- Surface and address fear, mistrust, and equity concerns across BU employee groups
- Embed responsible AI practices, transparency, human validation, governance, into team norms
Manager Enablement
- Coach and equip managers to lead AI-augmented teams, orchestrating humans and AI agents together, not just using AI tools themselves
- Run dedicated BU manager learning programs focused on judgment, coaching, and human–AI workflow oversight
Adoption Measurement & Intelligence
- Own the BU's AI adoption measurement framework, design and instrument metrics, not just report on them
- Instrument and analyze adoption data (usage, frequency, depth) to make it accessible and actionable
- Surface informal and shadow AI use within the BU and channel it into governed, productive adoption
- Track adoption health across workforce segments including tenure, function, generation, and role level
- Feed BU intelligence upward into the Hive Transformation Office to inform org-wide strategy
Education and Experience
Minimum Required:
- Master's or PhD in Industrial-Organizational Psychology, Organizational Behavior, or a related field - or equivalent applied experience
- 4-8 years in change management, internal or management consulting, 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 management frameworks and ability to adapt them to AI contexts
- Experience in role design, job architecture, or organizational assessment
- Ability to build trust and credibility with business unit leaders and frontline employees as a consultative thought partner
- 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 or in a client-facing consulting capacity (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
- Applied experience in assessment, survey design, or behavioral measurement
- 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
- Plus more! See benefits for additional details.
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.
If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at .
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.
Originally posted on Himalayas