Data Governance Analyst

Trisura Guarantee Insurance•Oklahoma City, OK

22h•Onsite

About The Position

As a Data Governance Analyst on our Data & Analytics Team, you’ll play a vital role in ensuring that data is accurate, consistent, and trusted across the business. This role goes beyond compliance, you will help shape how our data is governed, making it easier to share, analyze, and leverage across the organization. You’ll collaborate with business and technical partners to design governance practices that directly impact decision-making, support advanced analytics, and prepare us for innovative uses of data in the insurance industry. Working alongside skilled colleagues in finance, actuarial, operations and underwriting, you’ll ensure that our data is high-quality and AI-ready, helping unlock new insights and improve business performance. If you’re passionate about data, eager to make an impact, and ready to grow your career in a collaborative and high-performance culture, this opportunity is for you.

Requirements

Strong SQL coding skills with the ability to write clear, efficient, and well-documented code.
Proven experience in data governance and data quality management.
Strong communication skills to bridge technical concepts with business needs.
Ability to manage priorities in a fast-paced, evolving environment.
Curiosity, attention to detail, and passion for data-driven decision-making.
Implementation and management experience with enterprise metadata management platforms (Purview, Collibra, or similar).
Advanced T-SQL development (queries, stored procedures, optimization).
Azure MS Power Platform (Power BI, PowerApps, Power Automate) exposure.
Bachelor’s degree or college diploma in Information Management, Computer Science, Data Science, Actuarial Science or related field.
Minimum 5 years of overall professional experience, including at least 2 years in data governance, or data management.
Strong SQL development experience (T-SQL preferred).
Knowledge of data warehousing concepts and ETL processes.
Strong analytical and problem-solving skills with a keen eye for detail.

Nice To Haves

Experience with AI/ML workflows (data preparation, feature engineering, evaluation) is an asset.
Familiarity with Pyspark is an asset.
Familiarity with AI governance principles and ethical AI practices an asset.
Relevant certifications such as Certified Data Management Professional (CDMP) or Certified Information Privacy Professional (CIPP) are considered assets.
Prior work experience in insurance, financial services, or other regulated industries is an advantage.

Responsibilities

Design and implement enterprise data governance policies, standards, and best practices that scale with our growth.
Build and maintain SQL-driven validation checks and automated profiling processes to safeguard accuracy and reliability.
Maintain the enterprise data dictionary, lineage documentation, and standardized definitions.
Collaborate with the Data Team members to provide governed, high-quality, and unbiased data for AI and advanced analytics.
Implement AI governance controls such as lineage tracking, versioning, and explainability.
Partner with Finance, Operations, Actuarial, and IT teams to address governance challenges and standardize practices.
Act as a data governance expert with internal teams and external partners, including regulators, to promote secure, effective, and collaborative data sharing across the insurance ecosystem.
Stay current with evolving governance, data quality, and AI frameworks, bringing new ideas and practices to the organization.
Develop SQL queries to analyze datasets and correct data integration data failures.
Execute SQL templated tasks to implement accounting functionalities (reversals, re-invoicing) whilst ensuring data consistency.