Senior Business Analyst – Generative AI

technologies-expected :

• Python
• SQL
• BPMN
• Google Cloud Platform
• Jira
• Azure
• GitHub
• Power BI
• NLP

about-project :

We are looking for an experienced Business Analyst in Generative AI (4–7 years of experience) for our client in the insurance industry, who can bridge the gap between AI innovation and business value. The ideal candidate has a strong background in business process analysis and GenAI solution implementation, with the ability to define and measure impact (KPI, ROI), and is proficient in platforms such as Azure OpenAI, Vertex AI, and Hugging Face.

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.

requirements-expected :

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

offered :

Opportunity to drive cutting-edge Generative AI initiatives in a leading insurance organization.

Collaborative, innovation-driven environment with access to top AI platforms (Azure OpenAI, Vertex AI, Hugging Face).

Professional growth and certification support in AI, business analysis, and insurance domain expertise.

A training budget to support your technical and professional development

Private medical care and co-financing of a sports card

Flexible working hours and the option to work fully remotely

benefits :

sharing the costs of sports activities

private medical care

sharing the costs of foreign language classes

sharing the costs of professional training & courses

remote work opportunities

flexible working time

integration events