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Business analyst

London
Chubb External
Business analyst
£40,000 - £70,000 a year
Posted: 17 November
Offer description

Job Description: Business Analyst (BA) for Claims AI Projects

Position Overview: We are seeking a skilled and detail-oriented Business Analyst (BA) to join our team and contribute to the successful delivery of Claims AI projects. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring that AI-driven solutions for claims processing align with business goals, improve operational efficiency, and enhance customer experience. This role requires a strong understanding of claims processes, AI technologies, and the ability to translate business needs into actionable requirements.

Key Responsibilities:

1. Requirements Gathering and Analysis:
o Collaborate with business stakeholders to understand and document current claims processes, pain points, and opportunities for improvement.
o Elicit, analyze, and prioritize business requirements for AI-driven claims solutions.
o Translate business needs into functional and non-functional requirements for the technical team.
2. Stakeholder Collaboration:
o Act as the primary liaison between business teams, data scientists, AI developers, and other technical teams.
o Facilitate workshops, meetings, and discussions to ensure alignment on project goals and deliverables.
o Communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.
3. Process Mapping and Optimization:
o Analyze existing claims workflows and identify areas where AI can add value (e.g., fraud detection, claims automation, predictive analytics).
o Develop process maps and recommend optimized workflows incorporating AI solutions.
4. AI Solution Design and Validation:
o Work closely with AI and data science teams to define use cases, data requirements, and success metrics for AI models.
o Validate AI models and solutions to ensure they meet business requirements and deliver expected outcomes.
o Collaborate on testing and quality assurance to ensure the accuracy and reliability of AI outputs.
5. Project Management Support:
o Assist in project planning, timelines, and deliverables to ensure on-time delivery of Claims AI projects.
o Track and report on project progress, risks, and issues to stakeholders.
6. Change Management and Training:
o Support the adoption of AI solutions by creating user guides, training materials, and conducting training sessions for end-users.
o Address user concerns and feedback to ensure smooth implementation and integration of AI solutions.
7. Continuous Improvement:

o Monitor the performance of AI solutions post-implementation and recommend enhancements based on user feedback and performance metrics.
o Stay updated on industry trends, emerging AI technologies, and best practices in claims processing.

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