About FM:
FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.
FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.
Role Title: Sr AI Data Quality Analyst
Position Summary:
The Sr AI Data Quality Analyst (Human-in-the-Loop) defines and drives the data quality strategy for AI-powered underwriting workflows. While remaining hands-on with complex and high-risk submissions, this role sets standards, influences system design, and ensures quality scales as AI adoption grows. This is not a people manager role by default, but it carries significant influence over how quality is measured, enforced, and improved across the AI pipeline.
Job Responsibilities:
- Own end-to-end data quality approach for AI extraction workflows.
- Review the most complex, ambiguous, or high-impact submissions.
- Define quality thresholds, acceptance criteria, and escalation standards.
- Partner with architects and engineering leaders to contribute on AI systems engineering processes.
- Define and refine data quality KPIs and dashboards.
- Drive root-cause analysis across datasets, not just individual defects.
- Establish best practices for Human-in-the-Loop review at scale.
- Mentor analysts and act as the final quality authority
- Establish best practices for Human-in-the-Loop review at scale.
Skill and Experience:
- 5-7 years of experience required to perform essential job functions
- Additional Experience Qualifier (optional): 5-7 years preferred in data quality, QA, analytics or operational roles
- Experience in Commercial insurance or underwriting is preferred
- Prior ownership of data quality programs or HIL frameworks
- Familiarity with AI, using data analysis programs governance or model performance tracking.
- Deep experience validating complex business or financial documents.
- Proven leadership in high-volume, high-accuracy environments.
- Excellent ability to influence technical teams without direct authority.
- Deep expertise turning quality insights into system improvements.
- Strong written communication for requirements, standards, and documentation.
- High tolerance for detail, ambiguity, and accountability
Must Have Skills:
- 5-7yrs of Exp
- Microsoft office, Data Analysis, detail oriented, Extensive testing/QA analysis, strong communication skills,
- QA (Data quality & Data validation)
- SQL, AI systems exposure (AI / Gen AI / LLM)
- Leadership and Project Management skills
- Automation skills, Manual testing skills required (6m - 1yr +)
Good To Have Skills:
Education and Certifications:
4 Year / Bachelors Degree
Work location: Bengaluru
