[Remote] Data Governance Analyst

Note: The job is a remote job and is open to candidates in USA. Oncology Nursing Society (ONS) is dedicated to improving the quality of life for cancer patients and their families through education and advocacy. They are seeking a Data Governance Analyst to operationalize and sustain the organization's data governance framework, ensuring enterprise data is discoverable, well-defined, and used consistently across platforms and teams.

Responsibilities

• Operates and maintains the organization’s data governance framework, translating governance decisions into enforceable technical and process controls
• Serves as the day to day owner of data governance execution, ensuring governance activities are consistent, repeatable, and measurable
• Configures, manages, and optimizes data catalog and metadata scanning across SQL databases, data lake environments, analytics platforms, and integrated third-party systems
• Ensures data assets are cataloged, classified, and updated as systems evolve
• Builds and maintains the enterprise business glossary in partnership with business Data Owners and Data Stewards
• Develops and maintains end to end data lineage to support transparency, analytics trust, and impact analysis
• Ensures critical data elements are clearly defined, discoverable, and consistently referenced
• Implements and maintains data classification rules and sensitivity labels for PII and/or other regulated data
• Partners with IS Operations and Security to ensure labels, retention policies, and access rules are enforced across platforms
• Supports audits and risk reviews by providing evidence of data classification and protection controls
• Defines data quality rules and thresholds in collaboration with Data Owners and analytics teams
• Monitors data quality metrics for critical data elements and surface trends, risks, and remediation needs
• Enables teams to incorporate data quality checks into analytics pipelines and reporting workflows
• Develops and coordinates validation and testing approaches for governed data assets, including support for unit, integration, and user acceptance testing, to ensure data accuracy, integrity, and readiness for operational and reporting use
• Identifies root causes of data quality issues, including user errors, process breakdowns, and inconsistent interpretation of data definitions, and coordinates corrective actions including user retraining and process clarification
• Collaborates with Program Managers, project teams, and BI/engineering teams to embed data governance early in system implementations and data initiatives
• Ensures new data sources, integrations, and analytics assets meet governance standards before production use
• Partners with business stakeholders to support data ownership and stewardship responsibilities without owning the data itself
• Partners with department leaders and business users to gather data, reporting, and governance requirements and translate them into clear functional requirements, business rules, and technical specifications for analytics and development teams
• Provides guidance and enablement on how to use governance tools and standards effectively
• Designs and delivers ongoing data governance training and enablement for business stakeholders, including education on data definitions, metrics, data quality expectations, and appropriate use of governed data assets
• Partners with business users to reinforce data literacy, promote consistent interpretation of enterprise data, and support adoption of governance standards over time
• Acts as a trusted advisor on data governance practices, not as a gatekeeper
• Provides regular reporting to the Director of Information Services on governance KPIs, including catalog coverage, classification status, data quality trends, and compliance risks
• Reports data governance findings, risks, policy exceptions, and required corrections to assigned Data Owners within each business domain
• Facilitates discussion and decision‑making with Data Owners regarding data definitions, quality thresholds, remediation priorities, and acceptable risk, while tracking decisions and outcomes to ensure governance issues are resolved and documented
• Applies strong analytical thinking surfacing governance gaps early and recommends corrective actions

Skills

• Strong understanding of data governance, metadata management, data lifecycle management, and stewardship models
• Strong analytical and problem-solving skills, including the ability to synthesize complex business and technical data, identify root causes, troubleshoot issues, and recommend scalable solutions
• Strong interpersonal and communication skills, with the ability to explain technical concepts, data risks, and governance requirements to non-technical stakeholders, business leaders, and executive leadership
• Hands-on experience with enterprise data governance, cataloging, metadata management, analytics, and cloud data platform technologies
• Proficiency in SQL for data profiling and validation
• Comfort operating in evolving environments where governance must scale alongside analytics and AI adoption
• Experience supporting data governance in cloud-based analytics environments
• Experience working across cross-functional teams to translate business needs into governance requirements and technical actions
• Familiarity with regulated data handling, classification, sensitivity labeling, retention practices, or audit support
• Experience enabling governance adoption through stakeholder training, documentation, and data literacy support
• Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field required; equivalent relevant experience in lieu of education will be considered
• 4–7 years of experience working with enterprise data, analytics, data governance, or data management practices, with demonstrated ability to operate independently across technical and business stakeholders
• Experience establishing or maturing governance practices such as business glossaries, data classification, lineage, stewardship models, or data quality standards
• Experience facilitating governance decisions with business stakeholders, data owners, and technical teams in the absence of a large governance office
• Experience supporting enterprise data governance programs in complex or evolving organizational environments
• Experience working with cross-functional teams across business, analytics, and technology functions
• Experience working with AI-enabled tools, automation, or data-driven AI use cases in an enterprise environment
• Experience working in data warehouse or enterprise reporting environments
• Experience supporting governance, quality, or metadata management across multiple third-party system integrations
• Experience working in the Microsoft ecosystem including Azure, Fabric, and Purview

Benefits

• Tuition Reimbursement/Continuing Education Allowance
• Flexible Schedules
• Generous Time OffPlans
• Health, Dental, and Benefits
• Computer Purchase Loan Program
• Pet Insurance
• Retirement Savings Plan (401k) after six months
• Travel Opportunities

Company Overview