[Hiring] Senior Data Governance Analyst @P\S\L Group

Role Description

The Senior Data Governance Analyst is responsible for advancing enterprise data governance practices and ensuring data assets are managed in a consistent, understandable, and sustainable manner across the organization.

• Establishes and promotes data standards.
• Reviews proposed data changes.
• Governs enterprise reference data.
• Leads governance initiatives within assigned business domains.
• Identifies risks and challenges approaches that introduce ambiguity or duplication.
• Drives adoption of governance best practices.

Key Responsibilities

• Develop, maintain, and promote enterprise data governance standards, policies, and procedures.
• Identify opportunities to improve data governance visibility, influence, and adherence in P\S\L.
• Identify opportunities to automate data governance practices and lead their delivery.
• Employ Artificial Intelligence tools and techniques into smarter data governance.
• Track and report on governance health metrics regularly.
• Establish and maintain data naming conventions, business definitions, and governance guidelines.
• Review proposed data structures, data elements, and data changes for alignment with enterprise standards.
• Promote reuse of existing data assets and discourage unnecessary duplication.
• Participate in governance stand ups and reviews for new initiatives, projects, and significant data changes.

Governance Initiative Ownership

• Serve as the primary governance lead for assigned business domains, data subject areas, or strategic initiatives.
• Own governance initiatives from planning through implementation.
• Coordinate governance, stewardship, and reference data activities required to support assigned initiatives.
• Partner with business, product, engineering, analytics, architecture, and other stakeholders.
• Identify opportunities for standardization, simplification, and reuse within assigned domains.

Stewardship and Business Partnership

• Establish and document data owners, data maintainers, and data stewards for key initiatives.
• Partner with business and technical stakeholders to clarify ownership and accountability.
• Facilitate discussions related to data definitions and governance responsibilities.
• Provide governance guidance to various teams.
• Develop a strong understanding of business processes, data flows, and data usage.

Reference Data Governance and Management

• Govern enterprise reference data assets, including code sets and classifications.
• Define and maintain standards for reference data creation, modification, approval, and retirement.
• Identify credible sources of external data or AI-assisted methods for gathering data.
• Assess the downstream impacts of proposed reference data changes.
• Promote consistency and reuse across enterprise reference data domains.
• Partner with business stakeholders to ensure reference data remains accurate and relevant.

Documentation and Metadata

• Maintain governance documentation, business definitions, metadata, and business glossaries.
• Ensure governed data assets are clearly defined and understandable across teams.

Qualifications

• 5+ years of experience in Data Governance, Data Management, Business Analysis, Data Stewardship, Data Architecture, Analytics, or related disciplines.
• Experience working with both business and technical stakeholders.
• Strong understanding of data governance principles, stewardship, metadata, and reference data management.
• Understanding of project management practices and terminology.
• Experience facilitating discussions and influencing decisions without direct authority.
• Experience using Jira, Snowflake, and PostgreSQL.
• Strong written and verbal communication skills.

Preferred

• Experience with business glossaries, metadata management, governance platforms, or data catalog solutions.
• Experience with reference data management or master data management practices.
• Familiarity with data warehousing, analytics, and reporting environments.
• Experience supporting enterprise-scale data initiatives.
• Clinical, healthcare, life sciences, or related domain education and/or experience.
• Working knowledge of recognized references for medications, medical conditions, and related clinical reference data.