AI Process Transformation (senior role)

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.

• 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.
  

• 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.