AI-Driven Data Profiling Engineer

Synechron Technologies Pvt. Ltd._INDIA Company; New York (NY); On-site; USD 120,000 - 130,000; Full time

Job summary

Synechron is seeking an AI-Driven Data Profiling Engineer to support a PoC focused on profiling MGA BDX data through an autonomous agent workflow. You will work closely with data profiling specialists and data consumers to refine outputs and accelerate onboarding of MGA programs into the BDX platform and enterprise data hub.

The role involves refining the autonomous workflow, improving profiling outputs, and ensuring results meet downstream needs, with base salary in New York, NY of $120k-$130k

Qualifications

• Strong background in the insurance industry.
• Experience with Managing General Agents (MGAs) and/or insurance distribution data.
• Understanding of BDX data and insurance onboarding processes.
• Familiarity with insurance data structures (policy, premium, claims, exposure).
• Experience with data used for insurance operations, reporting, underwriting, or enterprise data platforms.
• Data analysis and data profiling experience.
• Ability to interpret complex, semi-structured data sources.
• Experience defining profiling rules and data quality metrics.
• Strong understanding of data lineage, metadata, mappings, and onboarding requirements.

Responsibilities

• Refine and enhance the autonomous agent workflow for MGA BDX data profiling.
• Collaborate with data profiling teams and business data consumers to define profiling requirements and outputs.
• Review and improve the behavior and outputs of the Kiro agents.
• Support discovery and extraction of PMA-related information from MGA BDX data.
• Develop and refine profiling plans for MGA programs.
• Run the profiling workflow across a backlog of ~80-100 MGA programs.
• Identify data quality issues and structural variations.
• Improve workflow based on profiling cycle findings.
• Validate profiling results with reviewer-agent and human review processes.
• Ensure profiling outputs are clear and actionable for downstream teams.
• Provide profiling results to onboarding teams for the BDX management platform and enterprise data hub.
• Maintain documentation of profiling rules and workflow changes.
• Help define dashboards, metrics, and reporting for profiling progress.

Skills

Insurance industry experience

MGA data experience

Data profiling

Agent workflow design

Kiro agents

Tools

Kiro agents

Job description

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking an AI-Driven Data Profiling Engineer to support a Proof of Concept focused on profiling MGA BDX data through an autonomous agent workflow. The successful candidate will work closely with data profiling specialists, data consumers, onboarding teams, and enterprise data stakeholders to refine agent outputs and accelerate the onboarding of MGA programs into the BDX management platform and enterprise data hub. The role will involve refining this autonomous workflow, improving the quality and usability of profiling outputs, and ensuring that results meet the needs of downstream data consumers.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $120k - $130k/year & benefits (see below).

The Role

Responsibilities:

• Refine and enhance the autonomous agent workflow for MGA BDX data profiling.
• Work with data profiling teams and business data consumers to define profiling requirements and expected outputs.
• Review and improve the behavior, prompts, instructions, controls, and outputs of the Kiro agents.
• Support discovery and extraction of PMA-related information from MGA BDX data.
• Develop and refine profiling plans for individual MGA programs.
• Run the profiling workflow across a backlog of approximately 80-100 MGA programs.
• Identify recurring data quality issues, structural variations, missing fields, anomalies, and business-rule exceptions.
• Continuously improve the workflow based on findings from each profiling cycle.
• Validate profiling results through reviewer-agent and human review processes.
• Ensure profiling outputs are clear, actionable, traceable, and suitable for downstream teams.
• Provide profiling results to teams responsible for onboarding data into the BDX management platform.
• Provide profiling results to teams responsible for onboarding data into the enterprise data hub.
• Maintain documentation of profiling rules, discovered patterns, exceptions, decisions, and workflow changes.
• Help define dashboards, metrics, and reporting requirements for profiling progress and data quality.
• Collaborate with business, data, engineering, and platform stakeholders to resolve issues and clarify requirements.
• Contribute to recommendations regarding the potential wider adoption of an autonomous-agent approach.

Requirements:

• Strong background in the insurance industry.
• Experience working with Managing General Agents (MGAs) and/or insurance distribution data.
• Understanding of BDX data, bordereaux, program data, and insurance data onboarding processes.
• Familiarity with insurance data structures, policy, premium, claims, exposure, and related data concepts.
• Experience working with data used for insurance operations, reporting, underwriting, finance, or enterprise data platforms.
• Strong data analysis and data profiling experience.
• Experience identifying data quality issues, anomalies, inconsistencies, missing values, duplicates, and structural variations.
• Ability to interpret complex, semi-structured, and inconsistent data sources.
• Experience defining profiling rules, validation logic, business rules, and data quality metrics.
• Ability to translate profiling results into clear recommendations for technical and business audiences.
• Strong understanding of data lineage, metadata, mappings, data contracts, and onboarding requirements.
• Experience working with data consumers to refine requirements and improve the usefulness of data outputs.
• Proficiency in agentic engineering and autonomous workflow design.
• Hands-on experience designing, configuring, testing, and refining AI-agent workflows.
• Ability to design effective prompts, agent instructions, task decomposition, validation steps, and review mechanisms.
• Experience creating agent workflows that include planning, execution, review, exception hand

Experience with below Kiro agents

• Discovery Agent
• PMA Extraction Agent
• Planning Agent
• Profiling Agent
• Reviewer Agent
• Dashboard Updater Agent
• Other generative AI, coding-agent, or orchestration tools