Requirements

Expected technologies

Python

SQL

BPMN

Google Cloud Platform

Jira

Azure

GitHub

Power BI

NLP

Our requirements

• Education: Bachelors/Masters/MBA in CS or equivalent industry experience (5+ years in ML, 2+ in GenAI).
• Preferred Certifications (1+ required, at least 1 in Gen AI/AI preferred):
• IIBA CBAP (Certified Business Analysis Professional)
• PMI-PBA (Professional in Business Analysis)
• Microsoft Azure AI Fundamentals (AI-900)
• Google Cloud Generative AI Certification
• Certified Scrum Product Owner (CSPO)
• Insurance specific certifications like AINS

Your responsibilities

• GenAI
• Track usage, adoption, and performance of all deployed use cases
• Define and report KPIs and business impact
• Drive user onboarding, feedback collection, and enhancements
• Lead change management, communication, and training
• Share success stories, and measure ROI of AI efforts
• Stakeholder Collaboration
• Translate technical GenAI capabilities into business outcomes:
• “Reducing customer support costs by 30% via AI agents.”
• “Accelerating contract drafting by 50% with GPT-4-assisted tools.”
• Manage expectations around probabilistic outputs (e.g., fact-checking workflows for GenAI content).
• Performance & Governance
• Develop GenAI-specific KPIs:
• Token cost per interaction, user trust scores, automation rate.
• Model drift detection and retraining triggers.
• Design audit frameworks for regulatory compliance (EU AI Act, industry standards).
• Technical & Tools
• GenAI Knowledge:
• Hands-on experience with prompt engineering.
• Understanding of Gen AI specific terminologies e.g. tokens.
• Familiarity with tools: Azure OpenAI Studio, GCP Vertex AI, Hugging Face.
• Business Analysis:
• Extensive experience in the Insurance industry.
• Advanced user story mapping for multi-agent workflows (AutoGen, CrewAI).
• Process modeling (BPMN) for AI-human collaboration.
• Data Fluency:
• SQL/Python basics to validate training data quality.