# Jobgether — Senior Consultant, Agentic Change Enablement

- Generated: 2026-09-18 07:14:59 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4467841550/
- Provider: LinkedIn
- Posted: approximately 2026-09-18 06:14 AM EDT (from '1 hour ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States
- Compensation: $135,400-$186,358 annually
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 63%

## Direct-match strengths

Agentic-AI adoption, executive enablement, training, communications, operating models, change leadership, metrics, and enterprise transformation.

## Hard or material gaps

Hard compensation conflict: the disclosed maximum is below $200,000. The role is also centered on organizational-change consulting and Prosci/ADKAR methods rather than AI engineering leadership, and it targets 3-6+ years, creating material overqualification risk.

## Evidence map

1. Agentic-AI change enablement (weight 3, evidence 2/3) — Direct adoption and enablement work; less dedicated change-methodology depth.
2. Executive coaching and communications (weight 2, evidence 3/3) — Direct executive advisory and enablement.
3. Prosci/ADKAR methodology (weight 2, evidence 0/3) — Not source-supported.
4. Enterprise technology adoption (weight 2, evidence 3/3) — Direct cloud and AI adoption programs.
5. Appropriate level (weight 2, evidence 0/3) — Targets 3-6+ years and is materially down-level.
6. Compensation maximum at least $200,000 (weight 3, evidence 0/3) — Maximum is $186,358.

## Keyword diagnostic

Good AI-adoption and enterprise-change adjacency, rejected by compensation and level/function mismatch.

## Full normalized job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Consultant, Agentic Change Enablement based in United States.
This role leads the people and organizational side of enterprise technology transformations, with a particular focus on AI-enabled ways of working.
You will help organizations prepare employees, leaders, and teams to adopt emerging agentic technologies and new operating models.
Working directly with client teams, you will shape change strategies, identify adoption risks, and translate complex technology into practical business outcomes.
The role combines executive advisory, stakeholder engagement, training, communications, workshop facilitation, and adoption measurement.
You will also help establish scalable change practices that support sustained behavioral and organizational transformation.
The environment is collaborative, client-facing, and fast-moving, with close interaction across technical, business, and leadership teams.
This is an opportunity to help organizations navigate the practical and human dimensions of AI adoption at enterprise scale.
Accountabilities
Design and execute tailored change strategies for complex AI, cloud, SaaS, and Workspace transformations using established methodologies such as Prosci/ADKAR and Kotter.
Facilitate discovery workshops and change impact assessments to identify organizational risks, adoption barriers, capability gaps, and opportunities created by AI.
Define desired future-state outcomes, North Star objectives, KPIs, and success measures to track adoption and organizational health.
Map changes to policies, processes, workflows, and operating rhythms resulting from the introduction of AI-enabled ways of working.
Advise and coach executive sponsors and senior leaders on visible leadership behaviors and responsibilities throughout transformation initiatives.
Anticipate resistance to AI adoption and develop targeted mitigation strategies for high-impact stakeholder groups.
Build and activate change champion networks to support peer-to-peer learning and adoption at scale.
Translate technical AI concepts into clear business narratives, strategic priorities, and practical actions for diverse audiences.
Develop persona-based learning journeys, role-specific training programs, communication plans, leader toolkits, prompt libraries, and other enablement materials.
Design and facilitate interactive workshops, including Art of the Possible sessions, design-thinking workshops, and transformation kickoffs using platforms such as Miro or Mural.
Lead pilot programs and early-adopter initiatives, establishing baseline productivity measures and gathering feedback to inform broader rollout strategies.
Establish support structures such as collaboration channels, office hours, and self-service resources to reinforce adoption.
Conduct post-launch reinforcement activities and pulse surveys to embed new behaviors and sustain organizational change.
Produce regular adoption, usage, and progress reporting for project stakeholders and client leadership.
Requirements
3–6+ years of experience in organizational change management, management consulting, or a related field, with exposure to enterprise-scale technology programs.
Proven experience applying structured change management methodologies; Prosci/ADKAR certification is strongly preferred.
Experience supporting cloud, SaaS, Google Workspace, Google Cloud, or comparable technology adoption programs.
Exceptional written, verbal, presentation, storytelling, and communication skills, with the ability to engage audiences ranging from end users to C-suite executives.
Strong stakeholder management and influencing skills within complex, cross-functional organizations.
Bachelor’s degree in Organizational Development, Business, Psychology, Communications, or a related discipline.
Hands-on experience with Generative AI adoption, such as Gemini for Google Workspace or Vertex AI, is preferred.
Previous experience with a technology consulting firm or Google Cloud Premier Partner is advantageous.
Sufficient technical literacy to collaborate effectively with engineers, data scientists, and other technical teams while translating technology changes into human-centered actions.
Experience developing adoption dashboards, success metrics, and leadership reporting is preferred.
Extensive workshop facilitation experience, including both in-person sessions and digital collaboration environments such as Miro or Mural, is a plus.
Ability to work strategically while remaining hands-on in developing change plans, communications, training, workshops, and adoption initiatives.
Benefits
Annual salary range of $135,400–$186,358, with final compensation based on experience, expertise, interview performance, geographic location, and final role level.
Comprehensive health insurance.
Paid vacation/PTO and holidays.
Sick leave.
Paid parental leave.
Bereavement leave.
401(k) plan with employer match.
Employee referral bonus opportunities.
Remote work environment.
Opportunity to work on enterprise-scale AI and technology transformation initiatives.
Exposure to senior client stakeholders and multidisciplinary consulting, engineering, and technology teams.
Standard hiring verification may include background and employment checks.
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 contact us.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No