Source Job

• Lead the development and evolution of data governance frameworks and stewardship practices across the organization.
• Partner with stakeholders across Data Strategy, Technology, Security, Legal, and Compliance to strengthen data quality and governance.
• Balance strategic thinking with hands-on execution to promote data literacy, accountability, and continuous improvement.

The company is a data-intensive organization operating in the insurance industry. It prioritizes data governance and stewardship with a collaborative, respectful, and solution-oriented culture.

• Lead the development and operation of a scalable data governance and data security program across a modern data environment.
• Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
• Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.

The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.

• Define, maintain, and enhance business metadata, including data definitions, classifications, and lineage to ensure clarity and consistency.
• Monitor data quality, identify issues, and participate in remediation and root-cause analysis.
• Support and maintain stewardship workflows, including approvals, reviews, and documentation updates.

Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.

• Establish and enforce data governance standards across CRM data models, including definitions, ownership, validation rules, and SLAs.
• Own data hygiene for accounts and contacts, including deduplication, enrichment, and lifecycle management.
• Partner with Sales Ops, GTM Systems, and Marketing Ops to align data architecture with business needs.

Chainguard delivers hardened, secure, and production-ready builds of open source software, helping organizations build faster, stay compliant, and eliminate risk. Backed by top investors and serving Fortune 500 enterprises, Chainguard maintains a remote-first, customer-obsessed culture.

• Ensure data accuracy and quality across products through validation, cleansing, and enrichment.
• Collaborate with stakeholders to define data standards and maintain data governance policies.
• Use SQL and data profiling tools to monitor data integrity and support business decisions.

Precision Medicine Group is a precision medicine company that provides services to biopharmaceutical clients. They have a large team and a culture focused on data-driven innovation.

• Lead a geographically dispersed team of Digital Engagement Workers, ensuring high-quality, person-centred support via telephone, virtual, and digital channels.
• Drive service quality, performance, and continuous improvement using data, insight, and feedback to improve outcomes.
• Champion safe, inclusive digital support and build strong relationships with colleagues, partners, and stakeholders.

Change Grow Live is a health and social care organization that uses digital innovation to make support more accessible and effective. They are a large, values-driven organization focused on transforming lives through compassionate, bold, and open leadership.

• Identify and assess risks in clinical trial data to ensure quality and integrity.
• Develop and implement risk mitigation strategies for data governance and compliance.
• Collaborate with cross-functional teams to enhance data management practices and support informed decision-making.

The company is a clinical research organization specializing in data risk analysis for clinical trials. It operates with a global team focused on improving data quality and integrity in a collaborative remote environment.

• Serve as primary contact for data management timelines, deliverables, and technical issues across clinical projects.
• Oversee database design, UAT testing, data validation, and quality reviews to ensure compliance.
• Train study teams, manage project resources, and support audits and bid defense meetings.

The company is a partner firm managing clinical data for life sciences research. They foster a collaborative, quality-focused culture and support professional development.