Data Manager

Malala Fund • Washington, DC

1d

About The Position

Malala Fund is working for a world where all girls can learn and lead. Malala Fund advocates for resources and policy changes needed to give all girls a secondary education, invests in local education leaders and amplifies the voices of girls fighting for change. The Development Team raises funds, builds partnerships, and keeps supporters engaged so Malala Fund can advance girls’ education worldwide. The Data Manager is Malala Fund’s lead backend data systems owner, responsible for maintaining and evolving the organization’s core data infrastructure. This includes database architecture, ETL pipelines, and integrations across 100+ platforms that support fundraising, finance, and organizational operations. This role translates complex data into actionable insights, build dashboards, and support revenue forecasting and performance analysis. This is a highly technical role requiring strong backend data engineering skills (e.g., SQL, Python, ETL pipelines, and data modeling), combined with the ability to operate as a translator between technical systems and business stakeholders. This role operates within a complex, multi-system data environment, including Salesforce (Nonprofit Success Pack, Sales Cloud, Service Cloud, Marketing Cloud Growth, and Data Cloud), Tableau, and a wide range of third-party donation platforms and payment processors (e.g., PayPal, Stripe, Shift4, Benevity, Give Lively, Donorbox), requiring strong integration and data pipeline management capabilities. Salesforce is a key system within the organization’s ecosystem; however, this role is not a traditional CRM administrator. CRM governance and administration are expected to be supported through a separate role or vendor, with this position focused primarily on data infrastructure and analytics. This role operates in close partnership with CRM administrators, external vendors, and cross-functional teams, and is not expected to independently own all CRM, training, or systems management functions.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, or related field
• 4–7+ years of experience in backend data development, data engineering, or database management
• Strong proficiency in SQL and relational database design
• Proven experience in designing, building, and maintaining ETL pipelines and data workflows
• Experience with Python (or similar language) for data processing, automation, and pipeline development
• Strong understanding of data modeling, data architecture, and system integrations
• Experience working with APIs and multi-platform data environments
• Ability to translate complex data into actionable insights for non-technical stakeholders
• Strong analytical thinking and problem-solving skills with a focus on data quality and reliability

Nice To Haves

• Experience working across complex ecosystems including Salesforce (NPSP, Sales, Service, Marketing Cloud Growth, Data Cloud), Tableau, and integrated fundraising/payment platforms (e.g., Stripe, Give Lively, Donorbox)
• Experience working with Salesforce (NPSP or Nonprofit Cloud)
• Familiarity with fundraising or nonprofit data environments
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Experience with integration tools (e.g., MuleSoft, Zapier)
• Exposure to analytics engineering tools (e.g., dbt, Snowflake, Databricks)
• Salesforce certifications (e.g., Platform Developer, Data Architecture)
• Cloud platform experience (AWS, GCP, Azure)

Responsibilities

• Own and maintain database schema, data models, and the overall enterprise data architecture across systems
• Lead the assessment, refactoring, and modernization of legacy data pipelines, including undocumented or loosely structured scripts or logic
• Design, build, and maintain ETL pipelines, transform, and load data from 100+ fundraising, finance, and engagement platforms
• Proactively monitor, troubleshoot and optimize data pipelines to ensure data accuracy, completeness, and reliability
• Re-architect and update data pipelines, scripts, and integration logic to improve scalability, reliability, and long-term maintainability
• Manage integrations and data pipelines across CRM systems, marketing automation tools, payment processors, and fundraising platforms, using APIs, middleware (e.g., MuleSoft, Zapier), and automation tools to ensure seamless and reliable data flow
• Implement robust, automated data validation and integrity checks to ensure high-quality data across systems
• Develop and maintain documentation for data architecture, pipelines, and integrations
• Build, and maintain dashboards and reporting tools (e.g., Tableau, Salesforce) to support organizational decision-making
• Translate complex business questions into structured data queries and analytical outputs
• Support revenue forecasting, performance tracking, and financial analysis through data modeling
• Partner cross-functionally with Development, Finance, and leadership teams to define KPIs and reporting frameworks
• Deliver insights that inform donor strategy, campaign performance, and executive-level decision-making
• Enable self-service reporting where appropriate to reduce operational bottlenecks
• Support data management and reporting across a global, multi-entity environment with multi-currency fundraising operations
• Support and enhance Salesforce data architecture and data flow across integrated systems
• Collaborate with Salesforce administrators and external vendors (e.g., CodeZone, Cloud for Good) on system enhancements and integrations
• Ensure data integrity and consistency between Salesforce and external platforms
• Contribute to system optimization efforts as they relate to data pipelines and reporting
• Serve as steward of organizational data, ensuring integrity, security, and ethical use
• Establish, implement, and continuously improve data governance standards and best practices
• Partner with IT and Operations on data privacy, security, and compliance
• Maintain clear and accessible documentation of data processes and systems
• Provide actionable, data-driven recommendations to Development, Finance, and leadership teams
• Support revenue forecasting and strategic planning through analytical insights
• Partner with cross-functional stakeholders to identify opportunities for improved data use and decision-making
• Contribute to and help shape prioritization of data, reporting, and systems-related initiatives across the organization
• Support development of materials and analyses used for leadership and board-level reporting as needed
• Act as a translator between technical systems and business stakeholders
• Collaborate with cross-functional teams to gather requirements and deliver data solutions
• Support a culture of data-driven decision-making across the organization

Benefits

• Malala Fund is an equal opportunity employer and inclusive organization who welcomes employees from under-represented and intersectional communities including BIPOC, LGBTQ+ and persons with disabilities.
• We seek people with diverse backgrounds, cultures, ages, experiences and identities to provide a wide range of perspectives, ideas, views and insights into the strategy, policies, culture and ambitions of Malala Fund.
• Malala Fund is committed to safeguarding and ensuring the safety and dignity of all of those involved in our work.
• Our first priority is protecting everyone who comes in direct or indirect contact with our organization, including staff, partners, grantees, and the communities in which we work
• Malala Fund has a zero-tolerance approach to abuse, exploitation, harassment, or discrimination of any kind by any of our staff, representatives or partners.
• We commit to ensuring that those who work with Malala Fund or on our behalf are able to work in an environment that is safe, respectful, and free from harm.
• To uphold this commitment, Malala Fund reserves the right to conduct background checks on prospective and current employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level