data governance specialist

<div>Overview:
<div>
The Data Engineer &amp; Governance Specialist works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, data scientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policies or analytic strategies but will enable the Government&rsquo;s decision making through the facilitation of working.</div><div></div><div> 
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</div><div></div><div> 
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors&mdash;helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</div><div></div><div> 
**This role is fulll-time onsite at Ft. Belvoir, VA**</div>
Responsibilities:
<div>
Functional Team Alignment</div><div>
The Data Engineer is a core member of the H2F PMO, supporting:</div><ul><li>
Data ingestion, transformation, and integration</li><li>
Creation of data pipelines and data services</li><li>
Enablement of analytics, AI/ML, and reporting workflows</li><li>
Integration of scientific and operational data sources</li><li>
Interact with Data Steward responsible for H2FMS systems</li><li>
Follow the Data Governance framework established by the office</li></ul><div>
Key Responsibilities</div><div>
Data Pipeline Development &amp; Maintenance</div><ul><li>
Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases.</li><li>
Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed by the H2FMS Government Lead.</li><li>
Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs.</li></ul><div>
Data Modeling &amp; Storage</div><ul><li>
Support development of analytic data models optimized for dashboarding/reporting and statistical learning using the Army Vantage reporting system.</li><li>
Work with data governance staff to ensure data models align with approved data definitions and standards.</li><li>
Assist with management of structured, semi-structured, and unstructured data used within H2FMS.</li></ul><div>
Data Stewardship &amp; Governance Execution</div><ul><li>
Serve as a designated Data Custodian for assigned data domains, owning the accuracy and completeness of data asset inventories, classifications, and ownership records.</li><li>
Execute data governance policies, standards, and procedures established by the Enterprise Data Governance team, applying independent judgment to implement guidelines within the program or business unit context.</li><li>
Lead the intake and registration of new data sources into the enterprise data catalog, ensuring metadata, data definitions, and lineage are documented prior to use in analytics or reporting.</li><li>
Actively participate in Enterprise Data Governance working groups as a domain representative, contributing engineering and program-level perspective to policy discussions.</li><li>
Support periodic governance assessments and audits, leading the collection and preparation of evidence and documentation on behalf of the program or business unit.</li><li>
Own the data quality monitoring program for assigned data domains, overseeing coverage across key quality dimensions including completeness, accuracy, consistency, timeliness, uniqueness, and validity.</li><li>
Own and maintain end-to-end metadata records, data dictionaries, and data lineage documentation for assigned data assets from source systems through transformation pipelines to analytic and reporting outputs.</li></ul><div>
Analytics &amp; AI/ML Enablement</div><ul><li>
Enable data access and preparation for data scientists, AI/ML engineers, and other data professionals, ensuring data is usable for modeling and analysis.</li><li>
Support feature preparation and data validation activities under Government and senior analytic direction.</li><li>
Assist in troubleshooting data-related issues impacting analytics and model development.</li></ul><div>
Data Quality &amp; Reliability</div><ul><li>
Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness.</li><li>
Implement basic validation, logging, and error-handling mechanisms within data pipelines.</li><li>
Coordinate with data governance and analytics teams to address recurring data issues.</li><li>
Work within the CPE Data Governance Program.</li><li>
Work with the Data Governance Data Steward.</li></ul><div>
Cross-Team Collaboration</div><ul><li>
Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs.</li><li>
Coordinate with software teams to support integration between data services and application components.</li><li>
Support documentation and communication of data pipeline designs and dependencies.</li></ul>
Qualifications:
<div>
Required Qualifications</div><ul><li>
Bachelor of science degree in Computer Science, Software Engineering, Information Systems, or a related STEM field.</li><li>
Demonstrated experience building and maintaining data pipelines and data integration solutions.</li><li>
Familiarity with data transformation, storage, and analytics enablement concepts.</li><li>
Working knowledge of core data governance concepts including data stewardship, metadata management, data cataloging, data lineage, and data quality dimensions.</li><li>
Hands-on experience building or maintaining data quality dashboards in Power BI, Tableau, or equivalent platforms.</li><li>
Experience working with unstructured, structured, and semi-structured data.</li><li>
Proficient in programming languages python, java, and SQL</li><li>
Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software.</li><li>
Strong problem-solving and communication skills with ability to operate effectively across technical and non-technical audiences.</li><li>
Active DoD Secret clearance.</li></ul><div>
Desired Qualifications</div><ul><li>
Experience designing, implementing, and managing cloud infrastructure.</li><li>
Experience supporting analytics or research-driven data environments.</li><li>
Familiarity with cloud-based data services or analytics platforms.</li><li>
Experience preparing data for dashboards, reporting, or AI/ML workflows.</li><li>
Prior experience supporting DoW or federal customers.</li><li>
Secret Clearance is required.</li></ul><div>
Location &amp; Travel</div><ul><li>
Duty Location: On site at Ft. Belvoir, Virginia.</li><li>
Travel: Limited travel to Ft. Detrick, Ft. Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.</li></ul></div>

Data Engineer & Governance Specialist - Clearance Required

Accenture

Responsibilities: As a Compliance and Master Data, you will be responsible for analyzing the organization and designing its processes and systems. This includes assessing the business model and its integration with technology, evaluating the current state, identifying customer requirements, and defining the future state and/or business solution. You will engage with multiple teams and contribute to key decisions, expected to be a subject matter expert, collaborate, and manage the team to perform effectively. Advanced proficiency in SAP Sales and Distribution (SD) is required. Additionally, advanced proficiency in other relevant skills is recommended.
 Facilitate workshops to gather requirements and ensure alignment among stakeholders.
 Develop detailed documentation that outlines business processes and system specifications.
 Utilize data analysis to identify trends and provide actionable insights for process improvements.
 Support the implementation of solutions by coordinating with technical teams and ensuring user acceptance testing.
 Continuously seek opportunities to enhance processes and drive efficiency within the organization.
 
<div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field</li><li>
5+ years of experience in SAP Master Data, SAP functional consulting, or data governance&ndash;related roles</li><li>
Strong experience in SAP Sales and Distribution (SD), including master data objects and end‑to‑end business processes</li><li>
Solid understanding of SAP Master Data concepts, including Customer, Material, Business Partner, and related governance controls</li><li>
Experience supporting data compliance, data quality, and validation standards within SAP landscapes</li><li>
Proven ability to analyze current‑state processes, identify gaps, and define future‑state business solutions</li><li>
Experience facilitating business and functional workshops to gather requirements and align stakeholders</li><li>
Strong capability to translate business requirements into functional specifications and detailed documentation</li><li>
Experience supporting system implementation, testing, and User Acceptance Testing (UAT) in collaboration with technical teams</li><li>
Strong analytical and problem‑solving skills, including the ability to use data analysis to drive process improvements</li><li>
Excellent communication and stakeholder management skills across business and technical teams</li></ul><h3 class="jobSectionHeader">
Preferred / Nice to Have Qualifications</h3><ul><li>
Experience with SAP Master Data Governance (MDG) or structured data governance frameworks</li><li>
Exposure to SAP S/4HANA environments and master data controls</li><li>
Experience with integration of SD master data with MM, FI, or other SAP modules</li><li>
Knowledge of data migration, data cleansing, and mass data maintenance activities</li><li>
SAP certification in SD, MDG, or related SAP functional areas</li><li>
Experience working in Agile or hybrid delivery models</li><li>
Ability to act as a subject matter expert and support or mentor junior consultants</li></ul></div>

SAP Compliance & Master Data Consultant

MA'ADEN

<div>Job Purpose
The Principal Specialist, BU Data Domain is the owner of a specific Business Unit data domain, accountable for the semantic integrity, governance, quality, and fitness‑for‑purpose of all data products produced from that domain.
The role ensures that BU data and relevent digital initiative is transformed into trusted, governed, and reusable data products aligned with enterprise standards, while still reflecting the operational and decision‑making realities of the Business Unit. This position acts as the single point of accountability for domain definitions, KPIs, ownership, and data quality outcomes.
The Principal Specialist represents the domain in enterprise data forums, aligns with cross‑domain standards, and ensures the BU&rsquo;s data products integrate cleanly into enterprise reporting, analytics, and control frameworks. 
 Key Accountabilities
<div><ul><li>Act as the domain authority for all data entities, KPIs, and concepts within the assigned mining Business Unit domain.
</li></ul><ul><li>Participate in enterprise design and governance forums to align domain needs with cross‑domain and platform standards.
</li></ul><ul><li>Ensure domain data reflects actual business processes, operational constraints, and regulatory requirements.
</li></ul><ul><li>Work closely with data engineering and platform teams to ensure domain data products are implemented as designed.
</li></ul><ul><li>Act as the primary data representative for the Business Unit, engaging senior stakeholders on data definitions, KPIs, and data‑driven decisions.
</li></ul><ul><li>Translate BU needs into structured domain requirements that can be delivered consistently.
</li></ul><ul><li>Advocate for domain priorities while aligning with enterprise direction.
</li></ul><ul><li>Adapt enterprise standards to BU context without breaking consistency.
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification 
<ul><li>Bachelor&rsquo;s degree in Business, Engineering, Information Systems, Data Management, or related discipline
</li><li>Master&rsquo;s degree or equivalent domain experience is an advantage 
</li></ul>Minimum Experience
<ul><li>10+ years of experience within a Business Unit domain, data, analytics, or enterprise information management
</li><li>Demonstrated experience owning domain definitions, KPIs, and data quality outcomes
</li><li>Proven ability to influence senior business and technical stakeholders without direct authority
</li></ul>Skills:
<ul><li>Domain‑driven data ownership and KPI definition
</li><li>Data governance and stewardship operating models
</li><li>Data quality management and remediation leadership
</li><li>Strong business&ndash;technical translation capability
</li><li>Ability to align local domain needs with enterprise standards</li></ul></div>

Principal Specialist, BU Data Domain

Scaleup Connect

Data Insights &amp; Strategy Specialist Location: Lahore, Pakistan Department: Data &amp; Strategy / Business Intelligence Experience Required: 3&ndash;5 Years Education: Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative fieldRole SummaryScaleup Connect is hiring a Data Insights &amp; Strategy Specialist for one of its clients based in Lahore. This role will drive full-cycle data governance across the Sell-in to Sell-out (ST1-SO) ecosystem, transforming complex datasets into actionable business insights. The position combines advanced analytics, predictive modeling, and strategic thinking to support business growth, operational efficiency, and risk mitigation.The ideal candidate will act as a bridge between data and business strategy, enabling leadership, sales, and supply chain teams to make informed, data-driven decisions.Key ResponsibilitiesEnd-to-End Data Governance<ul><li>Own and manage the ST1-SO data lifecycle, ensuring data accuracy, integrity, and consistency across systems.</li><li>Develop and maintain standardized analytical frameworks for monitoring business performance.</li><li>Produce high-quality weekly and monthly operational reports that clearly explain underlying performance drivers.</li></ul>Deep Diagnosis &amp; Growth Opportunity Identification<ul><li>Conduct multi-dimensional data analysis across cities, product lines, and sales channels.</li><li>Identify business anomalies, operational inefficiencies, and hidden growth opportunities.</li><li>Provide strategic recommendations based on robust analytical insights.</li></ul>Algorithmic Modeling &amp; Risk Warning Systems<ul><li>Design and optimize sales forecasting models to improve demand planning accuracy.</li><li>Build intelligent replenishment logic and inventory alert mechanisms to enhance operational efficiency.</li><li>Apply predictive analytics to reduce operational risks and improve inventory turnover.</li></ul>Business Empowerment &amp; Decision Support<ul><li>Act as a translator between data and business teams, converting complex analytics into clear, actionable insights.</li><li>Partner with Sales, Operations, and Supply Chain teams to support strategic planning and execution.</li><li>Develop dashboards and insights that guide operational decision-making.</li></ul>Strategy Execution &amp; Alignment<ul><li>Translate company strategy into quantifiable KPIs and performance tracking frameworks.</li><li>Monitor progress against strategic targets and provide insights that ensure cross-functional alignment with organizational goals.</li></ul>QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related field.</li><li>3&ndash;5 years of experience in data analysis, business intelligence, or strategic analytics roles.</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL and Excel (VBA / Power Query).</li><li>Strong experience with BI visualization tools such as Tableau or Power BI.</li><li>Experience with Python or R for predictive modeling is highly preferred.</li></ul>Analytical &amp; Business Skills<ul><li>Strong logical and analytical thinking, with the ability to extract meaningful insights from complex datasets.</li><li>Ability to quickly identify core business challenges and opportunities within fragmented data environments.</li><li>Strong understanding of business performance metrics and operational drivers.</li></ul>Professional Attributes<ul><li>High level of professional accountability and data accuracy standards.</li><li>Ability to thrive in fast-paced, high-pressure environments.</li><li>Excellent cross-functional collaboration and influence skills.</li></ul>Preferred Qualifications (Bonus)<ul><li>Experience building data analysis systems or analytics frameworks from scratch (0&rarr;1).</li><li>Prior exposure to retail operations, channel management, or distribution analytics.</li></ul>Job Type: Full-timePay: Up to Rs130,000.00 per monthWork Location: In person

Data Insights & Strategy Specialist

Data Insights Analyst Location: Lahore, Pakistan Department: Data &amp; Strategy / Business Intelligence Experience Required: 3&ndash;5 Years Education: Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative fieldRole SummaryScaleup Connect is hiring a Data Insights &amp; Strategy Specialist for one of its clients based in Lahore. This role will drive full-cycle data governance across the Sell-in to Sell-out (ST1-SO) ecosystem, transforming complex datasets into actionable business insights. The position combines advanced analytics, predictive modeling, and strategic thinking to support business growth, operational efficiency, and risk mitigation.The ideal candidate will act as a bridge between data and business strategy, enabling leadership, sales, and supply chain teams to make informed, data-driven decisions.Key ResponsibilitiesEnd-to-End Data Governance<ul><li>Own and manage the ST1-SO data lifecycle, ensuring data accuracy, integrity, and consistency across systems.</li><li>Develop and maintain standardized analytical frameworks for monitoring business performance.</li><li>Produce high-quality weekly and monthly operational reports that clearly explain underlying performance drivers.</li></ul>Deep Diagnosis &amp; Growth Opportunity Identification<ul><li>Conduct multi-dimensional data analysis across cities, product lines, and sales channels.</li><li>Identify business anomalies, operational inefficiencies, and hidden growth opportunities.</li><li>Provide strategic recommendations based on robust analytical insights.</li></ul>Algorithmic Modeling &amp; Risk Warning Systems<ul><li>Design and optimize sales forecasting models to improve demand planning accuracy.</li><li>Build intelligent replenishment logic and inventory alert mechanisms to enhance operational efficiency.</li><li>Apply predictive analytics to reduce operational risks and improve inventory turnover.</li></ul>Business Empowerment &amp; Decision Support<ul><li>Act as a translator between data and business teams, converting complex analytics into clear, actionable insights.</li><li>Partner with Sales, Operations, and Supply Chain teams to support strategic planning and execution.</li><li>Develop dashboards and insights that guide operational decision-making.</li></ul>Strategy Execution &amp; Alignment<ul><li>Translate company strategy into quantifiable KPIs and performance tracking frameworks.</li><li>Monitor progress against strategic targets and provide insights that ensure cross-functional alignment with organizational goals.</li></ul>QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related field.</li><li>3&ndash;5 years of experience in data analysis, business intelligence, or strategic analytics roles.</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL and Excel (VBA / Power Query).</li><li>Strong experience with BI visualization tools such as Tableau or Power BI.</li><li>Experience with Python or R for predictive modeling is highly preferred.</li></ul>Analytical &amp; Business Skills<ul><li>Strong logical and analytical thinking, with the ability to extract meaningful insights from complex datasets.</li><li>Ability to quickly identify core business challenges and opportunities within fragmented data environments.</li><li>Strong understanding of business performance metrics and operational drivers.</li></ul>Professional Attributes<ul><li>High level of professional accountability and data accuracy standards.</li><li>Ability to thrive in fast-paced, high-pressure environments.</li><li>Excellent cross-functional collaboration and influence skills.</li></ul>Preferred Qualifications (Bonus)<ul><li>Experience building data analysis systems or analytics frameworks from scratch (0&rarr;1).</li><li>Prior exposure to retail operations, channel management, or distribution analytics.</li></ul>Job Type: Full-timePay: Up to Rs130,000.00 per monthWork Location: In person

Data Insights Analyst

Concurrent Technologies Corporation

<div>Data Governance Analyst
Concurrent Technologies Corporation
Crystal City, VA
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: Secret
Background Investigation Required 
 
As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future.
Key Responsibilities:
<ul><li>Support execution of enterprise data governance policies, standards, and procedures</li>
<li>Assist in defining and documenting data ownership, stewardship, and accountability models</li>
<li>Help operationalize governance processes across business units</li>
<li>Support onboarding of datasets and systems into enterprise data catalogs</li>
<li>Assist with metadata tagging, classification, and glossary alignment</li>
<li>Help document data lineage and relationships between systems</li>
<li>Assist in identifying data quality issues and supporting remediation tracking</li>
<li>Support development and monitoring of data quality metrics and dashboards</li>
<li>Help identify risks related to data accuracy, consistency, and completeness</li>
<li>Partner with data stewards, system owners, and business teams to promote governance adoption</li>
<li>Support working groups, governance boards, and data domain initiatives</li>
<li>Help translate governance requirements into practical business processes</li>
<li>Document governance workflows, standards, and best practices</li>
<li>Support development of training materials and user guidance</li>
<li>Assist with system inventories and data asset documentation</li> 
</ul> 
Basic Qualifications:
<ul><li>Bachelor's degree in Information Systems, Business Analytics, Data Analytics, Public Administration, Computer Science, Management Information Systems, or a related field.</li>
<li>3-5 years of experience in data governance, data management, business/data analysis, data quality support, or information management.</li>
<li>Familiarity with data governance principles and frameworks</li>
<li>Experience working with data catalogs, metadata, or data inventories (academic or professional)</li>
<li>Working knowledge of Excel and data analysis concepts</li>
<li>Basic SQL knowledge (preferred but not required)</li>
<li>Experience documenting processes, standards, or workflows</li>
<li>Ability to obtain and maintain a Department of Defense (DoD) Common Access Card (CAC).
</li><li>Ability to obtain and maintain as US Government Secret Security Clearance (Secret or higher)</li>
<li>Strong communication and stakeholder coordination skills</li>
<li>Ability to translate business needs into structured documentation</li>
<li>Strong organizational and analytical thinking skills</li>
<li>Detail-oriented mindset</li> 
</ul> 
Preferred Qualifications:
<ul><li>Active Secret Security Clearance</li>
<li>Experience supporting a formal data governance program</li>
<li>Exposure to enterprise data catalogs (Microsoft Purview, Collibra, Alation)</li>
<li>Experience working with data stewards or domain owners</li>
<li>Experience supporting data quality initiatives</li>
<li>Experience in government, defense, healthcare, utilities, or regulated industries</li>
<li>DAMA Certified Data Management Professional (CDMP &ndash; Associate level)</li>
<li>DCAM (EDM Council) Foundations awareness</li>
<li>Collibra Ranger (entry-level exposure)</li>
<li>Microsoft Certified: Data Fundamentals (DP-900)</li>
<li>Microsoft Power BI Data Analyst Associate (PL-300)</li>
<li>Microsoft Azure Fundamentals (AZ-900)</li>
<li>Certified Business Analysis Professional (CBAP) &ndash; early-stage exposure</li>
<li>Lean Six Sigma Yellow/Green Belt</li> 
</ul> 
Why CTC?
<ul><li>Our teams at CTC are passionate and thrive on collaboration in a team environment.</li>
<li>When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.</li>
<li>Competitive salary and benefits package</li>
<li>Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.</li>
<li>Visit www.ctc.com (http://www.ctc.com/) to learn more.</li> 
</ul> 
Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologies-corporation.breezy.hr
Staffing Requisition: SR# 2026-0040
&ldquo;We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.&rdquo;</div>

Data Governance Analyst

Imagineeer

<div><div><div>Benefits:</div>
<ul><li>401(k) matching</li>
<li>Competitive salary</li>
<li>Health insurance</li>
<li>Paid time off</li>
</ul></div><div><div>About this Role: 
</div>
<div> 
The Data Architect / Enterprise Data Analyst will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations. 
</div>
<div> 
The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data. 
</div><div>Key Responsibilities: 
</div><ul><li>Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.</li></ul> 
<ul><li>Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.</li></ul> 
<ul><li>Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.</li></ul> 
<ul><li>Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.</li></ul> 
<ul><li>Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.</li></ul> 
<ul><li>Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and</li></ul> 
<div>Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications. 
</div><ul><li>Develop reports, queries, and analytics solutions to support business intelligence and operational insights.</li></ul> 
<ul><li>Create and maintain technical documentation for all configurations, customizations, and integrations.</li></ul> 
<ul><li>Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.</li></ul> 
<ul><li>Support upgrades, patches, and maintenance activities with minimal operational disruption.</li></ul> 
<ul><li>Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.</li></ul> 
<ul><li>Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.</li></ul><div> 
 
</div><div>Qualifications and Skills: 
</div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related discipline.</li></ul> 
<ul><li>Proficient in SQL and relational database design, supporting scalable and efficient data solutions.</li></ul> 
<ul><li>Proven success working within federal government systems or comparable enterprise environments.</li></ul> 
<ul><li>At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.</li></ul><div> 
</div>
<ul><li>Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen</li></ul> 
<ul><li>Certified in data governance and management (e.g., CDMP, DGCP).</li></ul> 
<ul><li>Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.</li></ul> 
<ul><li>In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).</li></ul> 
<ul><li>Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.</li></ul> 
<ul><li>Familiar with AI governance, and responsible machine learning practices.</li></ul> 
<ul><li>Proficient in cloud-based data governance, master data management, and data architecture principles.</li></ul> 
<ul><li>Experienced with business intelligence and data visualization tools.</li></ul> 
<ul><li>Knowledgeable in records management standards and federal compliance procedures.</li></ul> 
<div>Desired Skills and Competencies: 
</div><ul><li>Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).</li>
<li>Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements.</li>
<li>Experience with enterprise data warehouses or data lakes.</li>
<li>Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA.</li>
<li>Knowledge of FHIR, HL7, NIEM or federal data interoperability standards.</li>
<li>Experience with API integrations, service-oriented architecture (SOA), or microservices.</li>
</ul>
</div>Flexible work from home options available.</div>

Data Architect-Enterprise Data Analyst

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