Business Analyst (BA) for Claims AI Projects

Chubb; City Of London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A major insurance company in the United Kingdom is seeking an experienced Business Analyst to enhance Claims AI projects. The ideal candidate will bridge business needs and technical solutions, improving claims processes using AI technologies. Requirements include a degree related to business or technology, proven experience in insurance or AI-driven projects, and strong analytical and communication skills. This role offers a fantastic opportunity to influence claims processing innovation through AI solutions.

Qualifications

• 3+ years of experience as a Business Analyst, preferably in insurance.
• Experience working on AI or data-driven projects is highly desirable.
• Certifications such as CBAP or Agile/Scrum are a plus.

Responsibilities

• Collaborate with stakeholders to improve claims processes.
• Act as liaison between technical teams and business stakeholders.
• Analyze claims workflows and recommend AI solutions.
• Assist in project planning and track progress.

Skills

Understanding of claims processes

Familiarity with AI concepts

Proficiency in JIRA, Confluence

Excellent communication skills

Analytical skills

Problem-solving skills

Education

Bachelor’s degree in Business Administration, Computer Science, Data Science

Master’s degree

Tools

JIRA

Confluence

Visio

Tableau

Power BI

Job 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

Requirements Gathering and Analysis

• Collaborate with business stakeholders to understand and document current claims processes, pain points, and opportunities for improvement.
• Elicit, analyze, and prioritize business requirements for AI-driven claims solutions.
• Translate business needs into functional and non-functional requirements for the technical team.

Stakeholder Collaboration

• Act as the primary liaison between business teams, data scientists, AI developers, and other technical teams.
• Facilitate workshops, meetings, and discussions to ensure alignment on project goals and deliverables.
• Communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.

Process Mapping and Optimization

• Analyze existing claims workflows and identify areas where AI can add value (e.g., fraud detection, claims automation, predictive analytics).
• Develop process maps and recommend optimized workflows incorporating AI solutions.

AI Solution Design and Validation

• Work closely with AI and data science teams to define use cases, data requirements, and success metrics for AI models.
• Validate AI models and solutions to ensure they meet business requirements and deliver expected outcomes.
• Collaborate on testing and quality assurance to ensure the accuracy and reliability of AI outputs.

Project Management Support

• Assist in project planning, timelines, and deliverables to ensure on-time delivery of Claims AI projects.
• Track and report on project progress, risks, and issues to stakeholders.

Change Management and Training

• Support the adoption of AI solutions by creating user guides, training materials, and conducting training sessions for end-users.
• Address user concerns and feedback to ensure smooth implementation and integration of AI solutions.

Continuous Improvement

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

Qualifications

• Education:
• Bachelor’s degree in Business Administration, Computer Science, Data Science, or a related field. A Master’s degree is a plus.
• Experience:
• 3+ years of experience as a Business Analyst, preferably in insurance, claims processing, or AI/technology projects.
• Experience working on AI or data-driven projects is highly desirable.
• Skills:
• Strong understanding of claims processes and insurance industry practices.
• Familiarity with AI concepts such as machine learning, natural language processing, and predictive analytics.
• Proficiency in business analysis tools (e.g., JIRA, Confluence, Visio) and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication, problem-solving, and analytical skills.
• Ability to work in a fast-paced, cross-functional team environment.
• Certifications (Preferred):
• Certified Business Analysis Professional (CBAP) or equivalent.
• Agile or Scrum certifications (e.g., Certified Scrum Master, PMI-ACP).

Key Competencies

• Strong analytical mindset with the ability to identify patterns and insights from data.
• Ability to manage multiple priorities and deliverables simultaneously.
• Strong interpersonal skills to build relationships with diverse stakeholders.
• A proactive approach to problem-solving and a passion for leveraging technology to drive business outcomes.

This role offers an exciting opportunity to work at the intersection of business and technology, driving innovation in claims processing through AI. If you are passionate about transforming traditional processes with cutting‑edge solutions, we encourage you to apply!