We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people.
Why Work at Element?
Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future.
Position Summary:
Element Solutions is looking for a motivated and highly experienced Senior Data Management Analyst to support a government contract working hybrid, with additional on-site presence as required by the client. This Senior Data Management Analyst will lead the design, implementation, and optimization of our data systems. You’ll ensure data quality, security, and accessibility, while helping teams make smarter, data-driven decisions. This is a hands-on role that combines strategy, governance, and collaboration across the organization.
Key Responsibilities
Design, implement, and maintain robust data management systems and workflows to ensure accuracy, accessibility, and security of organizational data.
Analyze business and technical data requirements to develop scalable data models.
Establish and enforce data governance policies and procedures to support compliance with regulatory standards and internal best practices.
Collaborate with cross-functional teams and stakeholders to optimize data storage, retrieval, and integration processes.
Monitor and maintain data quality metrics, identifying issues and implementing corrective actions as needed.
Provide recommendations and insights to enhance data management practices and improve organizational decision-making.
Stay current with industry trends, technologies, and best practices in data management, governance, and analytics.
Minimum Qualifications
Bachelor’s degree in Data Management, Computer Science, Information Systems, or a related field; Master’s degree preferred.
Minimum of 10+ years of experience in data management, data governance, or data analytics roles.
Strong knowledge of data modeling, database design, and data integration techniques.
Experience implementing and maintaining data governance frameworks and policies.
Proficiency with data management tools, databases, and data visualization platforms.
Excellent analytical, problem-solving, and communication skills.
Strong ability to collaborate across technical and non-technical teams.
US Citizenship required.
Must reside in the Continental US; and be within driving distance to Washington, DC.
Depending on the government agency, specific requirements may include public trust background check or security clearance.
Preferred Qualifications
Experience with cloud-based data platforms (e.g., AWS, Azure, Snowflake).
Familiarity with regulatory compliance frameworks relevant to data (e.g., GDPR, HIPAA).
Certification in data management or governance (e.g., CDMP, DAMA).
Additional Information
Our People
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law.
Location
Be in your Element. This position is hybrid in Washington, DC and will require additional on-site work as requested by the client.
Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class.
We believe in a world where solutions we build improve the lives of those who use them.
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