AI Process Transformation (senior role)
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Job Description
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.
Employment Type
Full Time
Company Industry
Financial Services / Insurance Agencies and Brokerages / Investment Banking
