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Oncology Nursing Society

Data Governance Analyst

Oncology Nursing Society

Data Governance Analyst operationalizing data governance framework for Oncology Nursing Society. Oversee data quality, governance practices, and analytics collaborations in a remote role.

Posted 6/12/2026full-timePennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $80,024 - $98,030 per yearWebsite

Tech Stack

Tools & technologies
CloudSQL

About the role

Key responsibilities & impact
  • 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.
  • 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.
  • 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.
  • Collaborates with Program Managers, project teams, and BI/engineering teams to embed data governance early in system implementations and data initiatives.
  • Provides regular reporting to the Director of Information Services on governance KPIs, including catalog coverage, classification status, data quality trends, and compliance risks.

Requirements

What you’ll need
  • 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
  • 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
  • Familiarity with regulated data handling, classification, sensitivity labeling, retention practices, or audit support

Benefits

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

ATS Keywords

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Hard Skills & Tools
data governancemetadata managementdata lifecycle managementdata classificationdata lineagedata quality standardsSQLdata profilingdata validationanalytics
Soft Skills
analytical skillsproblem-solving skillsinterpersonal skillscommunication skillscollaborationstakeholder managementindependent operationsynthesis of complex datatroubleshootingexplanation of technical concepts