Job Description
- The primary purpose of this role is to lead the transformation of business processes using agentic AI technologies, reimagining workflows to enhance automation, adaptability, and operational efficiency.
- The role involves analyzing existing processes, identifying opportunities for AI-driven improvements, and collaborating with stakeholders to design future-ready, AI-embedded workflows.
Key Responsibilities
- Business Process Analysis & Opportunity Identification Analyze and document current business processes to identify inefficiencies, bottlenecks, and opportunities for agentic AI integration.
- Assess processes for autonomous decision-making potential and dynamic pathway optimization.
- Work with stakeholders to translate operational challenges into AI-enabled transformation opportunities.
- AI-Enabled Workflow Redesign Lead design thinking workshops to co-create next-generation, AI-driven process solutions aligned with business goals.
- Re-engineer end-to-end workflows, shifting from linear models to adaptive, agent-based systems.
- Reduce manual interventions while improving agility, accuracy, and consistency of outcomes.
- Use Case Evaluation & Solution Frameworks Define and apply structured frameworks for assessing AI use cases-including feasibility, value realization, and risk evaluation.
- Prioritize AI initiatives based on strategic alignment, business impact, and technical readiness.
- Cross-Functional Collaboration & Implementation Support Partner with business stakeholders, product teams, and technical counterparts to embed AI, automation, and digital tools into redesigned processes.
- Support governance structures and operating models to ensure scalable, secure, and sustainable AI implementation.
- Facilitate change management to enable seamless adoption of AI-enhanced workflows.
- Performance Measurement & Continuous Improvement Define and track KPIs to measure process improvement, automation impact, and business value delivered.
- Develop continuous improvement plans to optimize AI-driven workflows and enhance performance over time.
Qualifications & Experience
- Bachelor's or Master's degree in Business Administration, Engineering, Management, Computer Science, or a related field.
- 5-7+ years of experience in business process re-engineering, with proven delivery of AI or automation initiatives.
- Expertise in agentic AI platforms and orchestration frameworks such as LangChain, CrewAI, AutoGen, or similar.
- Strong understanding of workflow redesign, process automation techniques, and Lean/Six Sigma methodologies.
- Experience facilitating design thinking sessions and managing multi-stakeholder engagement.
- Knowledge of cloud services and AI lifecycle management (CI/CD, MLOps) is preferred.
Required Skills
- Demonstrated ownership mindset with the ability to navigate ambiguity in AI-driven transformations.
- Ability to translate complex AI capabilities into clear business value and measurable impact.
- Familiarity with AI governance, ethics, compliance, and responsible AI frameworks.
- Experience applying agentic AI to operational improvements in finance, procurement, or technology operations is a strong advantage.
