About the Role
The Senior Manager, Data Management leads the strategy, governance, and execution of enterprise data management capabilities across Rainforest Alliance. Reporting to the Director, Data Management & Intelligence, you will lead the foundational data components needed to improve the organizational data agenda, including data quality, metadata, master data, governance, and stewardship, ensuring alignment with clear standards, sound ethics, and execution across complex cross-functional projects.
This is both a highly strategic and hands-on leadership role. The Senior Manager will define and evolve the enterprise data management roadmap, translate organizational goals into concrete governance frameworks, and build a coalition of business, technology, and analytics stakeholders. You will lead a direct team of three data professionals while influencing a broader network of data owners and stewards across the organization.
Key Responsibilities
- Strategy & Roadmap Leadership: Implement and refine the enterprise data management strategy aligned with organizational and mission-level goals. Manage and evolve the data management roadmap, including prioritization methodologies, trade-off decisions, and regular quarterly reviews with senior stakeholders. Translate high-level goals into concrete data projects and build mitigation plans for strategic risks.
- Metadata & Master Data Management: Lead metadata management projects to improve data discoverability, lineage transparency, and documentation. Manage master data modeling, hierarchy management, and golden record processes across critical domains. Ensure integration with analytics, reporting, and operational systems.
- Governance, Ethics & Compliance: Expand and refine frameworks and best practices for data governance, ethics, quality, metadata, and master data management. Oversee creation and adoption of enterprise data policies, standards, definitions, and controls. Ensure compliance with regulatory and privacy requirements such as GDPR and CCPA.
- Data Quality: Define data quality standards, KPIs, and measurement methodologies enterprise-wide. Establish ongoing monitoring and reporting on data quality performance against defined metrics.
- Team Leadership & People Management: Direct and mentor a team of data professionals across governance, quality, sharing, and ethics. Mentor and influence an indirect network of data owners and stewards across the business.
- Cross-Functional Influence & Stakeholder Management: Lead cross-functional data governance forums (steering committees, councils, working groups). Partner with engineering, analytics, product, and business leaders to align data priorities and roadmaps.
Qualifications & Requirements
- Bachelor's degree in Data Management, Information Systems, Computer Science, Statistics, Business Administration, or a related field.
- 8+ years of experience in data management, data governance, or a related data discipline.
- 2–3 years of experience in a formal people management role.
- Demonstrated experience building or scaling a data governance program from the ground up, including policy development, standards definition, and stewardship models.
- Experience leading Master Data Management (MDM) and metadata management projects at an enterprise level.
- Hands-on experience implementing or administering a data catalogue or data governance platform (e.g., Collibra, Alation, Informatica, Microsoft Purview, or similar).
- Strong understanding of data governance frameworks, data quality methodologies, and metadata management principles.
- Working knowledge of data privacy and regulatory frameworks such as GDPR and CCPA (preferred).
- Proven stakeholder management, program management, and change management skills.
- Willingness and ability to travel up to 10% per year, nationally and internationally.
How to Apply
Interested and qualified candidates can apply online by visiting the Rainforest Alliance Application Portal.
