Manager, Data Operations and Insights

Remote (United States)

Job Details

Location: United States

Workplace: Remote

Experience: 5+ years of relevant experience, or 3+ years with a bachelor's degree, or 1+ years with a master's degree

Core Areas: Data Management, Data Governance, Data Quality, Data Operations, Knowledge Management, Data Workflow Optimization, Data Documentation, Insights and Reporting

Compensation: $64,400–$82,400 annually

About the Role

The Manager, Data Operations and Insights oversees and improves data management workflows, governance practices, knowledge management systems, and insights-sharing processes. This position focuses on organizing, maintaining, documenting, and improving data operations to ensure information is accessible, reliable, and useful for organizational reporting, evaluation, and decision-making. Key responsibilities include data quality oversight, workflow standardization, development of operating procedures, and coordination of data-related projects.

The role works across internal teams, including IT, research, and evaluation stakeholders, to strengthen data infrastructure requirements, improve information-sharing systems, and support consistent data management practices. Additional responsibilities include developing centralized knowledge repositories, coordinating evaluation and reporting workflows, supporting the responsible use of AI-enabled tools, and translating analytical findings into actionable insights. The position requires independent judgment, effective project coordination, and the ability to organize complex information and processes.

What You'll Do

Data Management, Governance & Operations

• Manage and coordinate daily data workflows supporting data collection, organization, storage, documentation, accessibility, and ongoing use.
• Develop, maintain, and improve standard operating procedures (SOPs), documentation standards, and consistent data management practices.
• Support data governance processes, including data quality, validation, access management, documentation, and responsible data use.
• Maintain organized storage and accessibility of evaluation instruments, data resources, and supporting documentation.
• Identify opportunities to standardize data operations, improve workflow efficiency, and reduce inconsistent or redundant processes.
• Coordinate with IT and internal stakeholders to identify data system requirements, communicate infrastructure needs, and translate operational and evaluation requirements into actionable specifications.
• Support improvements to data management systems and processes as organizational needs evolve.

Knowledge Management & Insights

• Co-lead the development, organization, maintenance, and usability of knowledge management and evidence-sharing systems.
• Support the design and improvement of centralized knowledge repositories, including an Insights Hub for evaluation findings, implementation resources, and learning materials.
• Ensure data, analytical insights, tools, and documentation remain organized, accessible, and available for ongoing organizational use.
• Develop repeatable processes for preparing insights products, executive summaries, synthesis materials, board reports, and impact reports.
• Organize information and analytical findings to support internal evaluation, knowledge sharing, and informed decision-making.
• Coordinate the transition of research, analysis, and evaluation outputs into practical resources used across organizational teams.
• Strengthen institutional knowledge retention by improving documentation, information accessibility, and knowledge-sharing workflows.

Data Project Coordination & Workflow Management

• Coordinate project timelines, workflows, dependencies, deliverables, and documentation across data management, evaluation, and insights initiatives.
• Support implementation of evaluation frameworks and related processes by tracking milestones, identifying next steps, and clarifying responsibilities.
• Maintain project plans, status reports, progress documentation, and follow-up activities to support timely execution.
• Coordinate internal project priorities, work assignments, handoffs, and operational processes to reduce inefficiencies.
• Work with external research, evaluation, and data partners to clarify project scopes, deliverables, responsibilities, and timelines.
• Support continuous improvement initiatives involving data systems, evaluation processes, documentation, and organizational workflows.

Cross-Functional Collaboration

• Collaborate with internal teams to improve data accessibility, knowledge sharing, and the effective use of analytical insights.
• Contribute to team planning, operational improvement, and cross-functional initiatives related to data management and evaluation.
• Participate in team meetings, organizational discussions, and collaborative working groups.
• Support special projects, pilot initiatives, and organizational improvement efforts requiring data stewardship, documentation, and project coordination.
• Participate in assigned standing or ad hoc committees supporting team and organizational priorities.

Initial Priorities and Expected Contributions

• During the first 30 days, develop an understanding of organizational priorities, existing data management tools, knowledge management processes, and internal stakeholder relationships.
• Within 60 days, review existing data workflows and project documentation, establish relationships with data infrastructure stakeholders, and contribute to an inventory of current data workflows.
• Develop initial recommendations for data management standard operating procedures, documentation practices, and workflow improvements.
• Within the first six months, co-develop an initial model for a centralized Insights Hub or knowledge repository.
• Identify data system and infrastructure requirements for storing, organizing, and sharing organizational insights.
• Establish repeatable processes for creating impact reports, analytical summaries, and synthesis materials.
• Contribute to standardizing and improving data management systems, operational processes, and knowledge-sharing practices.

Qualifications

Required Experience

• 5+ years of relevant professional experience in data management, project or program coordination, knowledge management, applied research, or evaluation support; OR
• Bachelor's degree in a related field with 3+ years of relevant professional experience; OR
• Master's degree in a related field with 1+ years of relevant professional experience.

Required Skills

• Ability to coordinate data management processes involving data collection, organization, storage, documentation, and accessibility.
• Ability to support data governance practices, including data quality, validation, access, and consistent documentation.
• Capability to develop, maintain, and improve standard operating procedures and data-related workflows.
• Ability to organize complex information, maintain knowledge management resources, and support effective information sharing.
• Ability to coordinate project timelines, deliverables, dependencies, documentation, and stakeholder responsibilities.
• Ability to translate operational, research, and evaluation needs into clear data system and workflow requirements.
• Ability to prepare and organize analytical summaries, reporting materials, and information supporting organizational decision-making.
• Strong organizational judgment and ability to coordinate priorities and processes across multiple teams and initiatives.

Education

• Relevant degree fields include data management, information management, education, social science, public administration, or a related discipline.
• A degree is not required for candidates qualifying through the 5+ years of relevant professional experience pathway.

Benefits

• Flexible work schedule.
• Cell phone stipend.
• 401(k) matching program.
• Employee Assistance Program.
• Matching gifts program.