Note: The job is a remote job and is open to candidates in USA. ReSource Pro is a strategic operations partner focused exclusively on the insurance industry. The company is seeking a Program Manager, Data Governance and Stewardship to establish and maintain data governance frameworks, standards, controls, and stewardship practices that support data integrity, security, compliance, quality, and responsible use across analytics, automation, and AI initiatives.
Responsibilities
- Develop, document, and maintain data governance policies, standards, procedures, and controls that support the appropriate collection, classification, storage, access, use, retention, and retirement of data
- Define and maintain data ownership, accountability, stewardship, and quality responsibilities across business and functional areas
- Establish practical and scalable governance practices that can be consistently applied across a complex, data-intensive organization
- Maintain clear documentation of governance requirements, decision rights, standards, and operating practices
- Partner with data owners, stewards, and cross-functional stakeholders to implement governance standards and resolve data-related issues
- Develop guidance and education that help stakeholders understand and fulfill their data governance and stewardship responsibilities
- Define and maintain data quality standards, rules, and processes for critical data assets
- Establish monitoring and control mechanisms to identify data errors, gaps, inconsistencies, and other quality issues
- Partner with data owners and stewards to investigate root causes, prioritize remediation, and improve data quality over time
- Maintain data lineage and documentation to improve traceability from source systems through downstream use
- Support the development and maintenance of data catalogs, business glossaries, metadata, and other documentation that improve understanding and accessibility of governed data
- Help ensure data assets can be traced, understood, and appropriately governed throughout their lifecycle
- Monitor adherence to established data governance and quality standards and communicate findings, risks, and remediation needs to relevant stakeholders
- Partner with Security, Legal, Compliance, and other stakeholders to support data privacy, security, risk management, and regulatory requirements
- Translate contractual and client-specific data requirements into clear governance standards, controls, and operating practices
- Support governance of how client and company data may be accessed, used, stored, shared, retained, and retired
- Maintain appropriate documentation and evidence to demonstrate adherence to applicable data requirements and commitments
- Identify and escalate governance risks, gaps, and potential areas of non-compliance
- Partner with analytics, technology, and AI teams to ensure data used for automation, analytics, and AI applications meets applicable governance, privacy, security, quality, and documentation requirements
- Support governance practices that promote responsible and explainable use of data in AI-enabled solutions
- Develop metrics, reporting, and other mechanisms to monitor governance adoption, data quality, and areas of risk or improvement
- Track adherence to data governance standards and support remediation where practices fall short
- Serve as a trusted advisor and subject matter expert on data governance and stewardship questions
- Promote data literacy and effective stewardship practices through clear documentation, training, and engagement
- Facilitate collaboration among data owners, stewards, and technical teams to resolve governance and data quality issues
- Continuously refine governance practices as regulations, client requirements, business needs, and technology evolve
- Foster a respectful and collaborative environment by upholding professionalism and engaging in constructive and respectful conversations
- Support a positive workplace culture by promoting open, solution-oriented communication, encouraging teamwork, and maintaining a focus on shared goals and productivity
Skills
- 5–8 years of experience in data governance, data stewardship, data management, data quality, or a related discipline
- Experience supporting data governance for analytics, automation, machine learning, or AI use cases
- Familiarity with data governance frameworks, data management best practices, or relevant industry standards
- Experience implementing or improving data governance programs in a growing or changing organization
- Hands-on experience developing, implementing, or maintaining data governance frameworks, policies, standards, and controls
- Experience establishing practices related to data quality, classification, access, retention, privacy, or lifecycle management
- Working knowledge of data privacy, security, regulatory, and compliance requirements in a regulated or data-intensive environment
- Experience with data catalogs, metadata management, data lineage, data quality tools, or related data management technologies
- Strong data fluency, including the ability to understand data structures, relationships, sources, and downstream use
- Ability to translate complex governance, privacy, security, and data management requirements into clear policies and practical guidance
- Strong analytical and problem-solving skills, with the ability to identify root causes and drive sustainable remediation
- Excellent written and verbal communication skills, including the ability to work effectively with both technical and non-technical stakeholders
- Strong attention to detail and a disciplined approach to documentation, process, and follow-through
- Ability to work independently, manage multiple priorities, and influence stakeholders across functions without direct authority
- Technological proficiency – able to learn, utilize, and navigate a variety of external and internal systems
- **All remote positions are based in the United States, and candidates must reside within the U.S. to be eligible for consideration.**
- 5% travel: Domestic for company meetings, global every 1-2 years
- Bachelor's degree in Data Management, Information Systems, Computer Science, Business Administration, or a related field preferred
- Experience working in the insurance industry preferred
- Experience with SQL is preferred
Benefits
- Annual bonus eligibility
- 100% paid employee health insurance available on Day 1
- Eligible for all medical, dental, and vision benefits on Day 1
- Remote positions are Internet stipend-eligible
- 401k with employer match, vested on Day 1
- HSA/FSA available
- Long Term and short-term disability employer-provided
- Generous PTO plan with paid holidays + floating holidays
- Development and growth opportunities
- Comprehensive wellness program and prioritization of employee health
Company Overview