What does a data manager do?
A data manager translates executive strategy into actionable plans for handling organizational information. This professional bridges the gap between leadership goals and technical execution by defining how data moves through its lifecycle. They set priorities for data projects and resolve conflicts that arise during implementation. The role focuses on building high-quality data resources through structured oversight and clear communication.
- Establishes data management plans, policies, and programs that guide how an organization collects, stores, and uses its information assets. These documents define standards for data quality and security while aligning with broader business objectives. The manager writes these guidelines to ensure staff understand their specific responsibilities regarding data handling.
- Plans and schedules data management projects by translating leadership directions into concrete tasks for technical teams. This work involves breaking down large initiatives into manageable steps and assigning resources based on priority. The manager tracks progress against timelines and adjusts schedules to meet changing business needs without disrupting ongoing operations.
- Acts as a liaison between data management executives and staff to clarify expectations and remove obstacles. This person facilitates discussions when conflicting priorities emerge between departments or technical constraints limit options. They present written reports and verbal updates that explain complex data issues in terms business leaders can understand and act upon.
- Oversees the execution of data lifecycle practices to maintain accurate and accessible records across systems. This includes monitoring how teams apply established policies and correcting deviations before they cause larger problems. The manager verifies that data entry processes follow agreed-upon standards to prevent errors from propagating through downstream applications.
- Handles budgeting and accounting tasks related to data management activities to keep projects within financial limits. This work requires tracking expenses for tools, storage, and personnel time against allocated funds. The manager prepares financial summaries that justify spending decisions and demonstrate the value of data initiatives to stakeholders.
How to hire a data manager on Upwork
Step 1: Post a job
Define your data governance needs and management priorities clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description. Describe your requirements in a few sentences, and Uma creates a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing post.
- Specify responsibilities such as establishing data management plans, policies, and programs for lifecycle management.
- List required managerial tasks including project management, conflict resolution, and personnel oversight for data staff.
- Include deliverables like prioritized project schedules and written presentations that translate executive direction into staff execution.
Step 2: Evaluate candidates
Look for professionals who demonstrate experience acting as liaisons between leadership and data teams. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess fit.
- Review work history for evidence of coordinating outcomes between executive directives and technical staff implementation.
- Check for samples of data management plans or policies that show clear prioritization and scheduling logic.
- Verify experience in budgeting, accounting, and reporting for data management activities within previous contracts.
Step 3: Interview your top choices
Discuss how candidates translate high-level resource commitments into actionable tasks for data teams. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session.
- Ask how they resolve conflicts that affect data management workflows and team productivity.
- Request examples of how they have maintained awareness of required tasks to build high-quality data resources.
- Evaluate their approach to supervising the execution of data management practices across different departments.
Step 4: Agree on scope and begin work
Set clear milestones for creating data policies and managing ongoing projects. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.
- Define specific outputs such as completed coordination reports and updated data lifecycle management programs.
- Establish a schedule for regular presentations that describe progress on data management initiatives.
- Confirm tools for tracking project status and resolving personnel issues during the engagement.
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The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.