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AI-Driven Data Profiling Engineer

Synechron
New York City, USA
Full-time
Mid
Onsite
Discovered 4 days ago

Full Job Posting

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
  • 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.
  • 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
  • Ability to design effective prompts, agent instructions, task decomposition, validation steps, and review mechanisms.
  • Experience creating agent workflows that include planning, execution, review, exception handling, and iterative improvement.
  • Understanding of human-in-the-loop controls and approaches for ensuring reliable and auditable AI outputs.
  • Ability to troubleshoot agent behavior and improve consistency, accuracy, and explainability.
  • We offer:
  • A highly competitive compensation and benefits package.
  • A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & paternity leave plans.
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
  • Retirement savings plans.
  • A higher education certification policy.
  • Commuter benefits (varies by region).
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.
  • S YNECHRON’S DIVERSITY & INCLUSION STATEMENT
  • Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
  • All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
  • Candidate Application Notice

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