AI Process Transformation (senior role)

Consultz; Abu Dhabi; On-site; AED 600,000 - 1,000,000; Full time

Job summary

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, guiding transformation of how every function operates using GenAI and data-driven decision frameworks.

You will own the end-to-end transformation agenda from opportunity discovery through KPI-driven value realization while building a

Qualifications

• Bachelor's in Engineering, Business or related field required; MBA or Analytics master's preferred.
• 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, ML, RPA, process mining and low-code platforms.
• Familiarity with Azure or equivalent cloud platforms.
• Lean Six Sigma Black Belt BPMN Design Thinking or similar.
• Change management certifications (e.g. Prosci ADKAR) highly desirable.
• Adept at aligning executive stakeholders and frontline staff to bold transformation initiatives.
• Strong storytelling influencing and communication skills.
• Strong business case development and KPI mindset linking operations to P&L impact.
• Curious experimental resilient and data-driven; thrives in ambiguous and fast-evolving environments.

Responsibilities

• 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.
• Map current-state value streams identify pain points and develop a dynamic 18-month roadmap for process transformation prioritizing high-ROI and strategic initiatives.
• Facilitate design sprints to architect future-state processes integrating GenAI agents automation and data/ML insights; validate concepts through rapid POCs.
• Establish governance frameworks for AI-enabled processes covering risk compliance and ethical AI.
• Develop baselines dashboards and mechanisms for continuous benefit tracking and KPI measurement.
• Create rollout playbooks and training materials to ensure successful handover to enablement teams and monitor adoption KPIs post-deployment.
• Curate and maintain libraries of templates reference architectures and best practices to support scalable self-service transformation across departments.
• Contribute to the company s innovation brand by publishing whitepapers success stories and benchmark studies.

Skills

GenAI

Machine Learning

RPA

Process Mining

Low-code Platforms

Education

Bachelor's in Engineering, Business or related field

MBA or Master’s in Analytics

Tools

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 baselines 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 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.