Data Governance Analyst (Fountain Valley, CA)

Antech•Fountain Valley, CA

2d•Onsite

About The Position

We understand that the world we want tomorrow starts with how we do business today, and that’s why we’re inspired to make A Better World for Pets. Antech is comprised of a diverse team of individuals who are committed to each other’s growth and development. Our culture is centered on our guiding philosophy, The Five Principles: Quality, Responsibility, Mutuality, Efficiency and Freedom. Today Antech is driving the future of pet health as part of Mars Science & Diagnostics, a family-owned company focused on veterinary care. Current Associates will need to apply through the internal career site. Please log into Workday and click on Menu or View All Apps, select the Jobs Hub app, then click the magnifying glass to Browse Jobs. This role is based out of our office in Fountain Valley, CA. The Target Pay Range for this position is $88, 500 - $110,645 annually. At Antech, pay decisions are determined using factors such as relevant job-related skills, experience, education, training and budget. We’re looking for a passionate Data Governance Analyst to play a key role in shaping our data governance strategy. In this role, you’ll drive initiatives that enhance data quality, completeness, compliance, and strategic alignment across the organization. This is your opportunity to make a real impact within a dynamic, data-driven environment where your expertise will help maximize the value of our data investments. If you’re excited about building best-in-class data governance frameworks and empowering organizations with the right tools and practices, we’d love to have you on our team!

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
5+ years of experience in data governance, data management, data analytics, or related fields.
Experience implementing data governance strategies, policies, and compliance frameworks.
Strong understanding of data governance frameworks, data quality management, metadata management, data stewardship, and master data management.
Experience conducting data quality assessments, implementing remediation plans, and establishing data quality rules.
Experience working with data governance tools such as Microsoft Purview, Collibra, Alation, or Informatica.
Knowledge of data privacy and security best practices, including data classification, access control, and regulatory compliance.
Familiarity with cloud data platforms (Azure, AWS, or Google Cloud), particularly Azure Data Factory, Azure Data Lake, Databricks and Synapse Analytics.
Proficiency with SQL, Python, or R for data querying, profiling, and analysis.
Strong stakeholder management and cross-functional collaboration skills.
Demonstrated ability to translate business requirements into actionable data governance strategies.
Agile experience, using tools like Jira or Azure DevOps to manage governance-related initiatives.
Expertise in data governance, data lineage, and metadata management.
Experience with data cataloging, business glossary development, and master data management (MDM).
Ability to develop, implement, and enforce data governance policies, standards, and workflows.
Hands-on experience with data governance automation and metadata management tools.
Strong knowledge of data privacy, security, and compliance best practices.
Experience working in Agile environments, collaborating with teams to iteratively develop and deliver governance solutions.
Proven ability to educate and train business users and technical teams on data governance best practices.
Experience leading or contributing to data governance working groups and councils.
Ability to develop key performance indicators (KPIs) and measure governance effectiveness.
Excellent communication and presentation skills, with the ability to engage executive leadership, product stakeholders, and technical teams.
A collaborative mindset, working with cross-functional teams to improve data quality and governance maturity.
Strong problem-solving and analytical skills with a proactive approach to identifying and resolving data-related issues.
The associate is regularly required to apply manual dexterity, including hand/wrist flexibility, for computer keyboarding.
The associate frequently is required to sit for extended periods of time, stand, walk, and reach with hands and arms.
The associate is frequently required to hear and speak in order to use the telephone, make presentations and communicate with people in an office environment.
The associate is occasionally required to sit and stoop, bend, kneel, or crouch.
The associate must occasionally lift and/or move up to 15 pounds.
The associate will primarily work in a typical office environment including use of cubicles, computers and overhead lighting.
Temperature extremes will be minimal to nonexistent.
The noise level in the work environment is usually moderate.
The associate will be required to use a computer, spreadsheets, database management, email, and the Internet.
The associate is frequently required to use a calculator; fax, copy machine, and phone system.
The associate must occasionally use media equipment such as an overhead projector, PowerPoint, and Microsoft Teams.

Responsibilities

Develop and maintain data governance policies, frameworks, and workflows to enhance data trust and usability.
Oversee metadata management, data cataloging, and data lineage tracking for enterprise-wide data assets.
Manage and prioritize data governance use cases, collaborating with data engineering, modeling, analytics, and governance teams.
Implement and oversee data protection, traceability, and privacy compliance processes.
Define and enforce data ownership, stewardship, and quality standards across domains.
Coordinate data governance priorities with stakeholders at all levels, ensuring alignment and resolving conflicts.
Support data governance councils, facilitate working groups, and drive data stewardship initiatives.
Lead data quality initiatives, including profiling, monitoring, and remediation strategies.
Ensure compliance with data privacy regulations such as GDPR, CCPA/CPRA, and industry-specific standards.
Assist in the design and implementation of master data management (MDM) solutions, ensuring data integrity and consistency.
Develop and deliver training programs to enhance data literacy and governance awareness across the organization.
Monitor and report on key data quality and governance metrics to leadership and stakeholders.