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AI Process Transformation (senior role)

Consultz

Abu Dhabi

On-site

AED 60,000 - 120,000

Full time

Today
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Job summary

A leading consulting firm is seeking an AI Process Transformation Leader to drive enterprise-wide reengineering efforts in AI and automation. This critical role will manage the transformation agenda, fostering a culture of AI adoption across teams. The ideal candidate will have over 15 years of experience in business process re-engineering and strong leadership skills. A Bachelor's degree is required, with an MBA preferred. The role offers an exciting opportunity to make a significant impact in a fast-evolving environment.

Qualifications

  • 15 years in business process re-engineering and digital transformation.
  • 5 years leading enterprise-wide cross-functional AI or automation programs.
  • Proven track record with GenAI, machine learning, and low-code platforms.

Responsibilities

  • Spearhead enterprise-wide reengineering efforts in AI.
  • Own transformation agenda from opportunity discovery to KPI realization.
  • Map current-state value streams and develop a dynamic 18-month roadmap.

Skills

AI adoption
Cross-functional leadership
Process redesign
Change management
Data-driven decision making

Education

Bachelor’s in Engineering, Business, or related field
MBA or Master’s in Analytics

Tools

GenAI
Machine learning
RPA
Azure
Job description

Consultz is supporting our client a leading SWF in the region in their search for a visionary and hands‑on AI Process Transformation Leader.

The incumbent will spearhead enterprise‑wide reengineering efforts in the age of AI and intelligent automation. This high‑impact role sits at the intersection of strategy, process excellence and innovation, guiding the transformation of how every function operates using GenAI automation and data‑driven decision frameworks.

He/She will be responsible for owning the end‑to‑end transformation agenda from opportunity discovery through to KPI‑tracked value realization while fostering a self‑sustaining culture of AI adoption across business and technical teams.

Key Responsibilities
Leadership & Evangelism
  • Champion AI adoption through roadshows, internal thought‑leadership and coaching departmental AI ambassadors.
  • Lead cross‑functional "design squads" from business and technology functions, providing methodological guidance (BPMN, Lean, Design Thinking) to ensure rapid innovation cycles.
  • Mentor business managers and SMEs on process‑redesign and AI integration to build internal capabilities.
Enterprise Process Strategy
  • Map current‑state value streams, identify pain points and develop a dynamic 18‑month roadmap for process transformation, prioritizing high‑ROI and strategic initiatives.
AI‑Driven Design & Execution
  • Facilitate design sprints to architect future‑state processes integrating GenAI agents, automation and data/ML insights; validate concepts through rapid POCs.
Governance & Value Realization
  • Establish governance frameworks for AI‑enabled processes covering risk, compliance and ethical AI.
  • Develop baseline dashboards and mechanisms for continuous benefit tracking and KPI measurement.
Change Enablement & Adoption
  • Create rollout playbooks and training materials to ensure successful handover to enablement teams and monitor adoption KPIs post‑deployment.
Methodology & Best Practice Management
  • Curate and maintain libraries of templates, reference architectures and best practices to support scalable self‑service transformation across departments.
Thought Leadership
  • Contribute to the company’s innovation brand by publishing whitepapers, success stories and benchmark studies.
Requirements
  • Education: Bachelor’s in Engineering, Business or a related field required; MBA or Master’s in Analytics preferred.
  • Experience:
    • 15 years in business process re‑engineering and digital transformation.
    • 5 years leading enterprise‑wide cross‑functional AI or automation programs.
  • Technical Expertise:
    • Proven track record with GenAI, machine learning, RPA, process mining and low‑code platforms.
    • Familiarity with Azure or equivalent cloud platforms.
  • Certifications & Methodologies:
    • Lean Six Sigma Black Belt, BPMN, Design Thinking or similar.
    • Change management certifications (e.g. Prosci ADKAR) highly desirable.
  • Leadership & Influence:
    • Adept at aligning executive stakeholders and frontline staff to bold transformation initiatives.
    • Strong storytelling, influencing and communication skills.
  • Analytical Strength:
    • Strong business case development and KPI mindset linking operations to P&L impact.
  • Mindset & Personality:
    • Curious, experimental, resilient and data‑driven; thrives in ambiguous and fast‑evolving environments.
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