AI Process Catalyst
JiraAzure DevOps (ADO)Microsoft Power BITableauRetrieval-Augmented Generation (RAG)
Role Snapshot
5+ years in delivery excellence with 3+ years leading AI/ML or automation programs; proficiency with Jira/ADO, Microsoft Power BI/Tableau; experience with agentic AI, RAG, and prompt engineering; Lean Six Sigma Black Belt or PMP preferred.
Required Qualifications
Education
- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Information Systems, Supply Chain, Operations Management, or a related field.
Experience
- 5+ years of experience in Process Engineering, Automation, Digital Transformation, or Operations Excellence.
- 3+ years of experience in AI/ML, Generative AI, Agentic AI, or intelligent automation solutions.
- Experience in Supply Chain, Manufacturing, Logistics, Operations, or Enterprise Transformation programs preferred.
- Proven track record of delivering AI-enabled business outcomes at scale.
Technical Skills
AI & Agentic Technologies
- Generative AI and Large Language Models (LLMs)
- Agentic AI frameworks (AutoGen, Microsoft Agent Framework, CrewAI, LangGraph, Google ADK, etc.)
- Prompt Engineering and AI Evaluation Frameworks
- Retrieval-Augmented Generation (RAG)
- Vector Databases and Embedding Models
Development & Integration
- Python and API Integration
- AI Orchestration Platforms
- Data Pipelines and Workflow Automation
- Enterprise System Integration (ERP, SCM, CRM)
Observability & Analytics
- AI Telemetry and Monitoring
- Power BI, Tableau, or equivalent analytics platforms
- Performance optimization and operational dashboards
Tools
- Jira, Azure DevOps, Confluence
- Azure AI Services, OpenAI, Amazon Bedrock, or similar AI platforms
- Cloud platforms (Azure, AWS, GCP)
Preferred Certifications
- Generative AI or AI/ML Certifications
- Lean Six Sigma Green Belt or Black Belt
- APICS / Supply Chain Certifications
- Cloud Certifications (Azure, AWS, Google Cloud)
- Process Automation or Digital Transformation Certifications
Key Competencies
- Systems Thinking and Structured Problem Solving
- Strong Analytical and Critical Thinking Skills
- Process Re-engineering and Continuous Improvement Mindset
- Stakeholder Management and Executive Communication
- Business Process Transformation
- AI Strategy and Innovation Leadership
- Cross-functional Collaboration and Change Managemen
Success Metrics
- Increased AI adoption and automation across business processes
- Improvement in agent accuracy, reliability, and task completion rates
- Reduction in manual effort and process cycle times
- Enhanced supply chain and operational performance metrics
- Improved AI governance, observability, and compliance adherence
- Increased retrieval accuracy and response quality in RAG implementations
- Optimized AI operating costs and platform efficiency
- Measurable business value through AI-enabled transformation initiatives