With a significant mission that makes a difference in people’s lives, you’ll find ONS a special place to work. Your support and commitment to providing nurses with an environment of continuous learning and patient advocacy is something you will be proud of. Since 1975, ONS has provided a professional community for oncology nurses, developed evidence-based education programs and treatment information, and advocated for patient care to improve the quality of life and outcomes for patients with cancer and their families. Learn more at ons.org.

The Data Governance Analyst is responsible for operationalizing and sustaining ONE’s data governance framework. This role ensures that enterprise data is discoverable, well defined, protected, and used consistently across platforms and teams.

The Data Governance Analyst serves as the central executor of data governance practices, leveraging enterprise data governance, cataloging, metadata management, and analytics technologies to implement metadata management, data classification, access controls, lineage, and data quality monitoring. The role enables and coordinates business data owners, data stewards, analytics teams, and technology teams to work confidently with trusted data while ensuring governance is embedded into daily operations and system design.

This is a full-time REMOTE (work-from-home) position.  Occasional travel to the ONS Headquarters in Pittsburgh, PA throughout the year will be required.

Responsibilities

Data Governance Execution

• 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.

• Data Governance Platform Administration

• 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.

Metadata, Glossary, and Lineage Management

• 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.

Data Classification, Sensitivity, and Protection

• 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.

Data Quality Enablement

• 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.

Governance by Design

• 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.

Stakeholder Enablement and Coordination

• 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.

Reporting and Risk Visibility

• 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.

Required 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

Preferred Skills

• 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.

Education and Experience

• 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

Be a part of our organization:

With a mission that is truly meaningful and makes a difference in people’s lives, you’ll find ONSE to be a special place to work. Your support and commitment to providing nurses with an environment of continuous learning and patient advocacy is something you will be proud of.

Pay Range:

Oncology Nursing Society Enterprise (ONSE) uses a market-based approach to pay. Pay rates are established considering the following factors: federal, state, and local minimum wage requirements, job-related skills, experience, qualifications, and market conditions. Our ranges may be modified periodically based on market analysis.

Anticipated Pay Range: 

 $80,024.00 - $98,030.00

Enjoy What Matters Most to You:

• 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

ONE is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, protected veteran or military status, and other categories protected by federal, state, or local law. We value the experience and contributions of all employees and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, our company will be.

About the role