SENIOR MANAGER OF DATA INFRASTRUCTURE

Bottom Line• US,

6d•$88,000 - $107,400•Remote

About The Position

Working on the Research, Analytics, Evaluation team and cross-functionally with IT, Programs, Development, and HR, the Senior Manager of Data Infrastructure will manage the maintenance, reliability, and evolution of Bottom Line’s data warehouse. This role is responsible for ensuring that the organization’s data platforms are stable, secure, and scalable, to enable consistent, high-quality reporting and analytics for several teams. The Senior Manager will own the day-to-day health of the data warehouse and pipelines, and drive data governance practices that ensure shared definitions, trusted data sources, and clear technical documentation. In addition to operational excellence, this role will shape and execute the data infrastructure roadmap—prioritizing enhancements, reducing technical debt, and strengthening systems to meet evolving organizational needs. The ideal candidate is both a systems thinker and a practical problem solver, able to create pipelines and reports and improve reliability and efficiency in the near term while also building toward a more scalable, well-governed, and strategically aligned data ecosystem.

Requirements

Bachelor’s degree required
Minimum 5 years of experience with database management, business intelligence software, and data visualization tools
Demonstrated excellence in creation and maintenance of data pipelines, scripts, and reports
Demonstrated ability to collaborate cross-functionally and communicate effectively with technical and non-technical stakeholders, both verbally and through written communication
Demonstrated ability to analyze large amounts of quantitative and qualitative data to provide recommendations and solutions, including to answer organizational strategic questions
Demonstrated advanced proficiency in Microsoft Azure Data Factory and SQL
Experience working at nonprofits (education preferred)
Detail-oriented, tenacious, and inquisitive
Extremely organized with strong time-management skills, with demonstrated ability to execute detail-oriented projects and meet strict deadlines
Demonstrated commitment to Bottom Line’s mission, vision, and core values
Approaching mastery in Bottom Line's seven core competencies: Relationships, Results, Communication, Inclusiveness, Talent Development, Agility, and Planning

Nice To Haves

Nice-to-have proficiency in Salesforce reporting, Microsoft Excel, Microsoft Power BI, Azure Machine Learning, and Python, or similar tools

Responsibilities

Own the day-to-day health of our data warehouse (availability, performance, reliability) across production and non-production environments.
Manage the SQL servers, SQL databases, and ETL pipelines across Bottom Line products and reporting systems.
Lead performance monitoring and tuning (query optimization, indexing strategies, pipelines schedules, and sequencing) to ensure data availability meets expectations.
Serve as an escalation point for database incidents, coordinate troubleshooting across analysts, and lead post-incident root cause analysis and prevention.
Implement security controls for database access (least privilege, role-based access, auditability) in partnership with security/compliance stakeholders.
Drive capacity planning and cost management (storage growth, compute sizing, retention/archiving) to keep the platform scalable and cost-effective.
Streamline and standardize SQL data views so downstream reporting and analytics use consistent, trusted logic.
Create SQL data views for emerging reporting and analytics needs and update existing SQL data views as priority metrics evolve.
Drive updates to data dictionaries and documentation based on data governance practices.
Define and enforce data standards (naming conventions, schema patterns, KPI definitions) to reduce metric drift and duplicated logic.
Coordinate cross-system change management (e.g., when fields change upstream) to prevent downstream sync failures and broken dashboards.
Implement data quality controls (validation checks, anomaly monitoring, reconciliation practices) across platforms and teams.
Own the data infrastructure roadmap (quarterly priorities, modernization plan, technical debt, and reliability investments).
Lead cross-functional delivery for infrastructure initiatives (new pipelines, new environments, migrations), including planning, dependency management, and release of communication.
Coach and enable others through documentation, templates, and training, increasing self-service for analysts, and reducing avoidable tickets.