Senior Technical Data Analyst

Job Title: Senior Technical Data Analyst

Location: Boston, MA – 4 Days Onsite
 

Position Overview

We are seeking a Senior Technical Data Analyst with strong expertise in Data Governance, Data Management, and Data Architecture to support an AI/ML-driven operating model. The ideal candidate will bridge business requirements and technical data solutions across complex, multi-system environments.

Key Responsibilities

• Design and implement enterprise data governance frameworks, policies, standards, and processes.
• Assess and improve data catalogs, metadata, ownership, certification, lineage, and lifecycle management.
• Define metadata standards, tagging frameworks, templates, and validation processes.
• Establish governance standards for POC, Development, and Production data assets.
• Prioritize business use cases and translate requirements into scalable technical data solutions.
• Establish end-to-end data lineage from source systems to downstream applications.
• Collaborate with Data Office, IT, AI/ML teams, business stakeholders, and data owners.
• Support responsible AI, data privacy, security, compliance, and data quality initiatives.
• Investigate data leakage, duplication, technical debt, and data-quality issues.
• Develop training and communication materials to drive data governance adoption.

Required Technical Skills

• Informatica – MUST HAVE
• Strong experience with Data Governance and Enterprise Data Management
• Strong SQL skills
• Experience with Snowflake and SQL Server
• Knowledge of Data Lakes and AWS
• Experience with SageMaker and AI/ML data environments
• Understanding of metadata management, data cataloging, and data lineage
• Knowledge of data architecture and cloud data platforms
• Ability to connect business requirements with technical solutions

Preferred Qualifications

• 5+ years of experience in Data Governance or Enterprise Data Management.
• Experience with AWS Glue, S3, SageMaker, and Snowflake.
• Python programming experience.
• Knowledge of MLOps, model versioning, and deployment pipelines.
• Strong understanding of data privacy, regulatory compliance, and Responsible AI.
• P&C Insurance / insurance underwriting experience is preferred.
• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Administration, or related field.

Ideal Candidate

The ideal candidate is both technically strong and business-oriented, with the ability to understand data flows across multiple systems, prioritize use cases, work with business leaders, and implement effective enterprise data governance practices.