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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Manager - **Company:** Impact Inc - **Location:** New York, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Applications Architecture, Customer Data Management, Data Architecture, Data Validation, Data Cleansing, Data Deduplication, Data Governance, Data Retention, Data Structures, Information Lifecycle Management, Meta-Data Management, Salesforce.Com, Data Classification, Usage Tracking, Data Management - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-governance-impact-8812414 ## About the Role * 3+ years of experience in data governance, data management, or Salesforce administration/architecture. * Strong understanding of Salesforce CRM data structures, objects, and relationships. * Experience with data quality tools, MDM, and governance methodologies. * Excellent communication and stakeholder management skills., * Salesforce certifications (Admin, Advanced Admin, Data Architect, Application Architect). * Experience working within enterprise data governance programs. * Knowledge of compliance frameworks relevant to the organization. Background in Sales Operations, RevOps, or CRM management., * Strategic thinking and process ownership * Analytical problem-solving * Documentation and policy creation * Collaboration and change management Data literacy and technical aptitude ## Description The Data Governance Manager is responsible for establishing, implementing, and maintaining data governance standards across the Salesforce ecosystem and our internal tools. This role ensures data quality, integrity, security, and compliance, enabling the business to maximize value from data while minimizing risk. The ideal candidate collaborates with cross-functional teams including IT, Sales, Marketing, Operations, and Compliance., * Develop and maintain the Salesforce and Operator data governance framework, policies, and standards. * Define data ownership, stewardship, and accountability across business units. * Champion best practices for data quality, metadata management, data lifecycle, and data usage. * Align Salesforce data strategy with enterprise data governance initiatives., * Monitor and enforce data quality standards (accuracy, completeness, consistency, timeliness). * Lead data cleansing initiatives, deduplication efforts, and data validation rules. * Implement data quality dashboards, KPIs, and reporting mechanisms. Compliance & Security * Ensure Salesforce and Operator data practices adhere to regulatory and internal compliance requirements (GDPR, CCPA, SOX, HIPAA if applicable). * Collaborate with Security and IT teams on data classification, access controls, and data retention policies. * Support audits and risk assessments related to Salesforce data., * Oversee master data definitions, picklist governance, naming conventions, and taxonomy standards. * Maintain metadata documentation and change management processes. * Partner with admins and architects to ensure structured, scalable data models. Cross-Functional Collaboration * Work closely with Salesforce Admins, Developers, Architects, and Business Stakeholders. * Facilitate data governance council meetings and drive alignment on data priorities. * Educate teams on data governance principles, standards, and processes. Operational Excellence * Manage data stewardship programs and assign data stewards. * Evaluate and implement tools for data quality, MDM, and data governance. * Support Salesforce release cycles to ensure data impacts are understood and controlled. ## Related Videos - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 168: Hacking Postgres, Blocking Meta and Fixing CSS](https://www.wearedevelopers.com/magazine/588-dev-digest-168-hacking-postgres-blocking-meta-and-fixing-css) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)