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Data Management Specialist (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Management Specialist in United States.

This role focuses on ensuring the integrity, accuracy, and accessibility of program data across multiple projects. You will manage and maintain the back-end of reporting systems and dashboards, integrating SQL and other data sources to provide decision-ready insights. Working closely with analysts and program managers, you will design data dictionaries, implement quality checks, and automate reporting cycles to deliver validated metrics for leadership. Your work ensures that portfolio-level dashboards are reliable, timely, and actionable, supporting program oversight, performance tracking, and strategic decision-making. This position combines technical expertise, analytical rigor, and cross-team collaboration in a fast-paced, mission-driven environment.

Accountabilities

·         Maintain and manage the back-end of reporting systems and Power BI environments.

·         Integrate SQL and other data sources to ensure seamless portfolio-level dashboard updates.

·         Design and maintain data dictionaries, refresh schedules, and quality assurance checks.

·         Collaborate with analysts and program managers to translate raw data into actionable insights.

·         Ensure weekly, monthly, and quarterly reports are accurate, complete, and delivered on schedule.

·         Support data governance, privacy standards, and compliance across all reporting activities.

·         Bachelor’s degree (BA/BS) in Data Management, Computer Science, Information Systems, or related field.

·         4+ years of experience in data management or related technical roles.

·         Strong proficiency in SQL and Microsoft Power BI, including VA-hosted environments.

·         Experience maintaining data integrity, automating reporting cycles, and managing recurring reports.

·         Knowledge of healthcare program data systems and federal data governance standards (e.g., HIPAA, FedRAMP) preferred.

·         Familiarity with portfolio dashboards, KPI roll-ups, and multi-project reporting.

·         Competitive salary and performance-based incentives.

·         Flexible work arrangements and collaborative team environment.

·         Comprehensive health, dental, and vision insurance.

·         Professional development and training opportunities.

·         Exposure to mission-critical programs impacting a large population of stakeholders.

·         Opportunity to work in a data-driven, high-impact, and innovative environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

 

#LI-CL1

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...

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Full-time, remote
DATE POSTED
September 16, 2025
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