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Job Family Description
Information Technology / Operations Technology (IT/OT) professionals sculpt the technological framework of the organization through the creation and management of scalable and secure information systems. Charged with the development and deployment of solutions, they analyze short- and long-term requirements to enhance system functionality and efficiency. They design and refine software applications, ensuring integration with existing architectural paradigms while also developing network systems and infrastructure to support business needs. IT/OT personnel manage the organization's IT/OT landscape, guaranteeing the reliable operation of servers, databases, and other components of the technology ecosystem. By maintaining a secure and robust IT/OT infrastructure, they uphold the integrity and confidentiality of data while facilitating connectivity and accessibility. Information Technology / Operations Technology personnel continually adapt to technological advancements, ensuring the organization stays at the forefront of emerging IT/OT trends and is well-equipped to meet future challenges while maintaining secure and stable operations.
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Discipline Description
Data science professionals are responsible for mining valuable insights from data by converting data inquiries into a structured analytical dataset that supports organizational decision-making, regulatory reporting, advanced modeling, and visual representations. Essential competencies include collecting and organizing analytical data through data management platforms, ensuring data accuracy and integrity, contributing to the interpretation and proper use of data, aiding in the creation of data analysis and sampling strategies, engineering tools for efficient data pipeline utilization, offering important observations related to essential business performance indicators, collaborating with stakeholders to accommodate their data system requirements while resolving data-centric technical hurdles, and effectively presenting analytical findings to meet regulatory standards. These professionals are expected to work in collaboration with users, various technical teams, and stakeholders to perform their roles successfully and manage the data system effectively. They should also be innovative in problem-solving to deliver reliable and technically sound outcomes.
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Some Typical Duties and Responsibilities Include:
Savannah River Nuclear Solutions (SRNS) is seeking a highly motivated and detail-oriented Data Management Solution Analyst to support the Data Management Manager with enterprise data governance, reporting, analytics readiness, business process improvement, and overall data integrity initiatives. This position will assist in managing organizational data as a strategic asset by ensuring information is accurate, secure, accessible, and aligned with business objectives.
The selected candidate will serve as a strategic liaison between business units, Information Technology, cybersecurity, records management, and senior leadership to strengthen and operationalize enterprise data governance and data management practices. The position will support governance activities across platforms such as Oracle Database, Microsoft technologies, and enterprise data governance and data cataloging solutions, ensuring consistent, trusted, and wellmanaged data assets across the organization.
This role will support the development and execution of enterprise data governance frameworks, including the establishment of data standards, data quality controls, classification models, stewardship roles, and policy compliance processes. The candidate will contribute to building and maintaining an enterprise data catalog by driving metadata collection, data lineage mapping, business glossary development, and data asset lifecycle management.
The candidate will also be responsible for supporting initiatives that strengthen data accessibility, enhance master data and reference data governance, and reinforce data security and privacy requirements in collaboration with cybersecurity and records management teams. Through these efforts, the role will enhance SRNS mission performance, ensure regulatory and contractual compliance, reduce operational risk, and promote a mature and sustainable data governance culture across the organization.
Responsibilities:
Support the Data Management Manager in executing enterprise data governance and management strategies.
Maintain data standards, business rules, naming conventions, metadata repositories, and process documentation.
Conduct data quality audits, validation checks, and remediation tracking to improve accuracy and reliability of enterprise data.
Develop dashboards, scorecards, and recurring reports for leadership using Microsoft Power BI, Oracle Analytics Server, Microsoft Excel, and related tools.
Assist in administration of data cataloging, classification, lineage, and stewardship programs using a data cataloging capability.
Coordinate with IT teams to support system integrations, data migrations, automation efforts, and modernization initiatives involving Oracle Database and other enterprise data sources.
Support reporting subject areas, semantic models, and enterprise analytics solutions within Oracle Analytics Server environments and other analytical solutions.
Ensure compliance with records retention, cybersecurity, privacy, and internal control requirements.
Prepare executive summaries, governance board materials, presentations, and status reports.
Support root cause analysis and corrective actions related to data discrepancies, database issues, or reporting failures.
Train users on reporting tools, governance processes, and best practices for data handling.
Monitor KPIs, trends, and opportunities for operational improvements through better use of enterprise data.
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Required Qualifications
Bachelor's degree in relevant field plus at least five years of experience (YOE) in a relevant role, OR Master's degree in relevant field plus at least two years of experience (YOE), OR Doctoral degree in relevant field
Equivalencies to experience and education requirements will be considered
Bachelor's degree in relevant field (Information Systems, Business Administration, Data Analytics, Computer Sc
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