data governance specialist

Fred Hutchinson Cancer Center

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div> 
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div> 
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div> 
The Data Governance Specialist III designs, implements, and operates the enterprise data governance program within Fred Hutch's Information Security function. The role centers on protecting sensitive clinical, research, and operational data &mdash; ensuring it is properly classified, controlled, and used in compliance with applicable regulations and institutional policy.</div><div></div><div> 
This role works closely with the Office of the Chief Data Officer (OCDO), GRC, Privacy, Legal, and research and clinical business units to put data governance into practice and brings both technical depth and policy fluency to one of the organization's most critical compliance functions.</div><div></div><div> 
Most Fred Hutch jobs require some on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area.</div> 
<div></div>
Responsibilities:
<div>
Data Governance Program</div><ul><li>
Own and maintain the enterprise data classification and handling program, including policies, standards, and data inventories.</li><li>
Develop and operate processes for data lifecycle management &mdash; covering data ownership/stewardship, data lineage, retention, de-identification, and secondary use in research and clinical contexts.</li><li>
Partner with OCDO, Privacy, and Legal to ensure data governance policies are consistently applied across systems, cloud services, and research platforms.</li><li>
Provide governance guidance on projects involving data collection, integration, analytics, and AI/ML use cases, including IRB-adjacent data use considerations.</li></ul><div>
Compliance &amp; Risk</div><ul><li>
Assess data-related risks across systems, applications, third-party vendors, and cloud environments; track and drive remediation.</li><li>
Support external audits and assessments involving data (HIPAA, HITRUST, research compliance), including evidence preparation and response coordination.</li><li>
Collaborate with Privacy and Legal to interpret and operationalize current and emerging regulations: HIPAA/HITECH (including the 2025 Security Rule updates), GDPR, the Common Rule, and FDA 21 CFR Part 11.</li><li>
Maintain data protection impact assessments, handling standards, and records of processing activities and policy exceptions.</li></ul><div>
Operations &amp; Tooling</div><ul><li>
Recommend and oversee data protection technologies including DLP, CASB, DSPM, and data discovery/classification tools.</li><li>
Maintain enterprise data flow documentation: systems of record, data transfers, cross-border flows, and third-party obligations.</li><li>
Work with Security Operations monitoring for data-related threats (exfiltration, misuse); support incident response scoping and regulatory notification requirements.</li><li>
Define and report metrics on data governance program effectiveness for executive and regulatory audiences.</li></ul><div>
Training &amp; Collaboration</div><ul><li>
Deliver targeted awareness training on data handling, classification, and secure use of cloud and collaboration platforms.</li><li>
Mentor team members and contribute to maturing data governance practices across the organization.</li></ul>
Qualifications:
<div>
MINIMUM QUALIFICATIONS:</div><ul><li>
Bachelor&rsquo;s degree in information technology, computer science, business analytics, statistics, data science, public health, or other scientific or health-related field.</li><li>
Minimum 9 years of experience in data analytics, data management, governance, privacy, security or related disciplines (a Master&rsquo;s degree can substitute for two years of professional experience).</li><li>
Strong evidence of excellent cross-discipline communication via written and verbal communication with ability to present complex technical information in a clear and concise manner to a variety of audiences, including executives and non-technical leaders.</li><li>
Demonstrated expertise in managing enterprise-wide governance initiatives across data domains.</li><li>
Demonstrated ability to scale and sustain external and internal initiatives and partnerships around data governance functions.</li></ul><div>
PREFERRED QUALIFICATIONS:</div><ul><li>
Hands-on experience with data protection and governance tools (DLP, DSPM, data classification/discovery tools, data catalogs, or equivalent).</li><li>
Working knowledge of healthcare and research regulatory frameworks: HIPAA/HITECH, the Common Rule, FDA 21 CFR Part 11, and related state privacy laws.</li><li>
Familiarity with security and risk frameworks: NIST 800-53, NIST CSF, HITRUST CSF, and NIST AI RMF.</li><li>
Proven ability to translate complex regulatory and policy requirements into practical controls and operational processes.</li><li>
Strong written and verbal communication skills; comfortable presenting data risk topics to executive and non-technical audiences.</li><li>
High integrity and sound judgment when handling sensitive, confidential information.</li><li>
Experience in a research or academic medical center environment, including familiarity with research data sharing agreements, data use agreements (DUAs), and IRB processes.</li><li>
Experience integrating GRC platforms with data governance and security tooling for control monitoring and evidence collection.</li><li>
Proficiency with cloud data platforms (Azure, AWS) and modern data architectures (data lakes, pipelines, analytics platforms).</li><li>
Experience evaluating AI/ML pipelines and data sets for compliance, privacy, and ethical use requirements.</li><li>
Ability to script or automate governance processes (Python, PowerShell, or API integrations).</li><li>
Relevant certifications: CDMP, CIPT, CIPP/US, HCISPP, CISSP, CISM, CRISC, or HITRUST CCSFP.</li></ul><div>
The annual base salary range for this position is from $115,170 to $182,021, and pay offered will be based on experience and qualifications.</div><div></div><div> 
Most Fred Hutch jobs require some on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area. This position may be eligible for a sign-on bonus. 
 
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position. 
 
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Data Governance Specialist III

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Data Governance &amp; Management Specialist</h1>
Job Title: Data Governance &amp; Management Specialist 
Experience: 6&ndash;12+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Data Governance &amp; Management Specialist with 6&ndash;12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives.</li><li>
Establish data governance policies, standards, processes, and operating models.</li><li>
Define data ownership, stewardship models, and governance responsibilities across business and technology teams.</li><li>
Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data.</li><li>
Manage metadata, data cataloging, lineage, and business glossary initiatives.</li><li>
Support Master Data Management (MDM) strategies and implementation.</li><li>
Define and implement data classification and data privacy frameworks.</li><li>
Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance.</li><li>
Monitor governance KPIs, data quality metrics, and compliance requirements.</li><li>
Drive adoption of governance practices across enterprise data initiatives.</li><li>
Support regulatory compliance and data protection requirements.</li></ul><h2 class="jobSectionHeader">
Required Technical &amp; Functional Skills</h2><h3 class="jobSectionHeader">
Data Governance Frameworks</h3><ul><li>
Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles.</li><li>
Experience designing and implementing enterprise data governance operating models.</li><li>
Knowledge of data stewardship, ownership, policies, standards, and governance processes.</li></ul><h3 class="jobSectionHeader">
Data Governance Platforms</h3><ul><li>
Hands-on experience with Collibra or Alation for:<ul><li>
Data catalog management</li><li>
Metadata management</li><li>
Business glossary creation</li><li>
Data lineage tracking</li><li>
Governance workflow management</li></ul></li></ul><h3 class="jobSectionHeader">
Data Quality Management</h3><ul><li>
Experience with Informatica Data Quality (DQ) or comparable data quality tools.</li><li>
Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes.</li></ul><h3 class="jobSectionHeader">
Master Data Management</h3><ul><li>
Experience implementing Master Data Management (MDM) frameworks and processes.</li><li>
Understanding of master data domains, golden records, and data synchronization approaches.</li></ul><h3 class="jobSectionHeader">
Data Classification &amp; Privacy</h3><ul><li>
Experience with Data Classification and Data Privacy frameworks.</li><li>
Knowledge of sensitive data identification, protection controls, and compliance requirements.</li><li>
Understanding of privacy regulations and enterprise data protection practices.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field.</li><li>
6&ndash;12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management.</li><li>
Strong understanding of enterprise data architecture and governance practices.</li><li>
Excellent communication, stakeholder management, and collaboration skills.</li><li>
Experience working with cross-functional teams in enterprise environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting large-scale data transformation initiatives.</li><li>
Knowledge of cloud data platforms and modern data ecosystems.</li><li>
Familiarity with data security, risk management, and compliance frameworks.</li><li>
Experience establishing Data Governance Centers of Excellence (CoE).</li><li>
Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology &amp; Capability Stack</h2><ul><li>
Data Governance Frameworks: DAMA-DMBOK or NDMO</li><li>
Data Governance Platforms: Collibra or Alation</li><li>
Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring</li><li>
Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage</li><li>
Data Protection: Data Classification and Data Privacy and Compliance Management</li><li>
Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models</li></ul>
ziP0x5f22h</div>

Data Governance & Management Specialist

<div><h1 class="jobSectionHeader">Job Description: Data Governance &amp; Management Specialist</h1>
Job Title: Data Governance &amp; Management Specialist 
Experience: 6&ndash;12+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Data Governance &amp; Management Specialist with 6&ndash;12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives.</li><li>
Establish data governance policies, standards, processes, and operating models.</li><li>
Define data ownership, stewardship models, and governance responsibilities across business and technology teams.</li><li>
Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data.</li><li>
Manage metadata, data cataloging, lineage, and business glossary initiatives.</li><li>
Support Master Data Management (MDM) strategies and implementation.</li><li>
Define and implement data classification and data privacy frameworks.</li><li>
Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance.</li><li>
Monitor governance KPIs, data quality metrics, and compliance requirements.</li><li>
Drive adoption of governance practices across enterprise data initiatives.</li><li>
Support regulatory compliance and data protection requirements.</li></ul><h2 class="jobSectionHeader">
Required Technical &amp; Functional Skills</h2><h3 class="jobSectionHeader">
Data Governance Frameworks</h3><ul><li>
Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles.</li><li>
Experience designing and implementing enterprise data governance operating models.</li><li>
Knowledge of data stewardship, ownership, policies, standards, and governance processes.</li></ul><h3 class="jobSectionHeader">
Data Governance Platforms</h3><ul><li>
Hands-on experience with Collibra or Alation for:<ul><li>
Data catalog management</li><li>
Metadata management</li><li>
Business glossary creation</li><li>
Data lineage tracking</li><li>
Governance workflow management</li></ul></li></ul><h3 class="jobSectionHeader">
Data Quality Management</h3><ul><li>
Experience with Informatica Data Quality (DQ) or comparable data quality tools.</li><li>
Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes.</li></ul><h3 class="jobSectionHeader">
Master Data Management</h3><ul><li>
Experience implementing Master Data Management (MDM) frameworks and processes.</li><li>
Understanding of master data domains, golden records, and data synchronization approaches.</li></ul><h3 class="jobSectionHeader">
Data Classification &amp; Privacy</h3><ul><li>
Experience with Data Classification and Data Privacy frameworks.</li><li>
Knowledge of sensitive data identification, protection controls, and compliance requirements.</li><li>
Understanding of privacy regulations and enterprise data protection practices.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field.</li><li>
6&ndash;12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management.</li><li>
Strong understanding of enterprise data architecture and governance practices.</li><li>
Excellent communication, stakeholder management, and collaboration skills.</li><li>
Experience working with cross-functional teams in enterprise environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting large-scale data transformation initiatives.</li><li>
Knowledge of cloud data platforms and modern data ecosystems.</li><li>
Familiarity with data security, risk management, and compliance frameworks.</li><li>
Experience establishing Data Governance Centers of Excellence (CoE).</li><li>
Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology &amp; Capability Stack</h2><ul><li>
Data Governance Frameworks: DAMA-DMBOK or NDMO</li><li>
Data Governance Platforms: Collibra or Alation</li><li>
Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring</li><li>
Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage</li><li>
Data Protection: Data Classification and Data Privacy and Compliance Management</li><li>
Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models</li></ul>
QKUsBbRdNl</div>

MASTER-WORKS

<div>Master Works is seeking a detail-oriented and analytical Data Management, Specialist to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence. 
Key Responsibilities
<ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul>
Technical Skills<ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul>Job location: Client Site</div>

Data Management, Specialist

Apollo Technology Solutions LLC

<div><div>Title: Business Process &amp; Governance Engineer 
Location: Atlanta, GA (Remote or Hybrid) 
Duration: 5 Months 
Web Cam Interview Only 
 
Partners across the enterprise to build and strengthen governance capabilities across data, information, and emerging AI programs translating ambiguous needs into practical processes, documentation, and tools. We're growing our governance function across multiple programs Data Governance, Information Governance, and AI Governance each at a different point in its journey, some established and maturing, others being built from the ground up. This role offers the chance to do both: strengthen what's working and shape what's still being defined, moving between programs as priorities shift. 
 
Job Description
<ul><li>Partners across business, IT, privacy, security, and other units to build and strengthen governance capabilities across Data, Information, and AI Governance programs from established initiatives to those still taking shape. Takes direction and runs with it, translating ambiguous or evolving needs into practical processes, documentation, and tools with minimal day-to-day oversight.</li>
<li>Position Duties:</li>
<li>Design and implement governance processes, workflows, and documentation for programs across a range of maturity from established to still-forming</li>
<li>Translate business needs into practical frameworks, tools, and training materials</li>
<li>Partner with stakeholders across technical and non-technical audiences to drive adoption</li>
<li>Operate with significant autonomy identify gaps, propose solutions, and execute without a predefined playbook</li>
<li>Flex across programs as priorities shift, applying the same core skill set to different levels of ambiguity and structure</li>
</ul> 
Required Skills:
<ul><li>Quickly grasps governance, policy, or regulatory requirements and translates them into clear processes, documentation, guides, and stakeholder conversations</li>
</ul><ul><li>Comfortable building structure from ambiguity; doesn't wait to be told what to do</li>
<li>Strong process design, documentation, and analytical skills</li>
<li>Skilled communicator who adapts across technical and executive audiences</li>
<li>Self-directed, results-oriented, adaptable to shifting priorities</li>
</ul> 
Preferred Skills:
<ul><li>Experience in higher education or another complex, decentralized institutional environment</li>
<li>Exposure to governance, compliance, or risk-related work (data, information, or AI)</li>
</ul> 
Qualifications:
<ul><li>5-8 years of experience in business process, governance, compliance, IT business analysis, or a related field. Bachelor's degree preferred (any field); higher education experience as a student or employee is a plus. Equivalent professional experience will be considered in lieu of a degree.</li> 
</ul> 
 
Required / Preferred Skills:
<ul><li>Proven work experience designing, implementing, or improving business processes, workflows, or governance frameworks</li>
<li>Proven work experience creating documentation, guides, or training materials for varied technical and business audiences</li>
<li>Proven work experience partnering with cross-functional stakeholders to drive adoption of new processes or initiatives</li>
<li>Proven work experience independently identifying gaps and building solutions without an established playbook</li>
<li>Experience with data, information, or AI governance, compliance, or risk-related work</li>
<li>Experience in higher education or another complex, decentralized institutional environment</li></ul></div></div>

Business Process & Governance Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 <ul>
 <li>
 Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 </li>
 <li>
 Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 </li>
 <li>
 Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 </li>
 <li>
 Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 </li>
 </ul>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design &amp; implement the data governance framework and operating model and roles and responsibilities
 </li>
 <li>
 Design &amp; implement the data governance process workflows
 </li>
 <li>
 Conduct requirement gathering, business analysis, and any data architecture activities with the data governance
 </li>
 <li>
 Participate in the data maturity assessment sessions and gap analysis
 </li>
 <li>
 Participate in alignment with EA teams and data strategy across the organization.
 </li>
 <li>
 Coordinate with the project teams and others to ensure that data standards and models align with the overall enterprise architecture and applicable standard
 </li>
 <li>
 Define roles and responsibilities related to data governance and data quality, develop related processes and procedures, and establish a common understanding and visibility of all agency data assets.
 </li>
 <li>
 Develop a strong working relationship with the appropriate business users and provide business-impact-driven analysis and communicate results to stakeholders.
 </li>
 <li>
 Engage in Establishing &amp; Operate Data offices
 </li>
 <li>
 Engage in design &amp; implementing the data governance framework in the project. Including the standards, policies and procedures, operating model and data quality standards, roles, and procedures.
 </li>
 <li>
 Help in managing and running the maturity assessment and change management practice throughout the project.
 </li>
 <li>
 Participate in the delivery of the data governance projects.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachler's degree in IT or any related majors
 </li>
 <li>
 DAMA, Informatica, Collibra certificates
 </li>
 <li>
 5+ years of experience
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Fluency in Arabic &amp; English is highly desirable
 
</div>

Data Governance Consultant

The University of Manchester - Dubai

<div>
 
 
 Overall, Purpose of the Job
 
 
 
 The Institutional Data &amp; Regulatory Compliance Analyst is responsible for the administration, governance, quality, and integration of institutional data systems at UoM-Dubai. The role provides dedicated ownership of all regulatory data reporting requirements, including MoHESR and KHDA obligations, with particular focus on:
 
 
 &bull;&nbsp;&nbsp;HEDB/CHEDS dataset preparation, validation, and submission across all reporting cycles
 
 
 &bull;&nbsp;&nbsp;OBEF KPI data collection, calculation, evidence compilation, and submission across all 24 KPIs spanning Employment Outcomes, Learning Outcomes, Industry Collaboration, Research Outcomes, Reputation, and Community Engagement
 
 
 &bull;&nbsp;&nbsp;&nbsp;API integration readiness for the transition from portal-based HEDB submission to MoHESR's master API framework
 
 
 &bull;&nbsp;&nbsp;&nbsp;Effective administration of Educore and related institutional applications
 
 
 &bull;&nbsp;&nbsp;&nbsp;Supporting institutional compliance with CAA, MoHESR, and KHDA requirements
 
 
 &nbsp;
 
 
 This role is critical as MoHESR transitions to an outcome-based evaluation model assessed across 24 KPIs, requiring sustained, specialist data ownership that cannot be absorbed within existing operational roles.
 
 
 
 
 
 Key Responsibilities
 
 <ol>
 <li>
 
 OBEF Data Management and KPI Reporting
 
 </li>
 </ol>
 
 The postholder will take lead responsibility for OBEF data collection, calculation, and submission across all six pillars:
 
 
 &bull;&nbsp;&nbsp;Coordinate and validate data for all 24 OBEF KPIs at institutional and programmatic level, including Employment Rate, Retention Rate (FYR), Assessment Quality Review, Work Placement Participation, Joint Industry Courses, Publication Ratio, International Accreditation Status, and Community Engagement indicators
 
 
 &bull;&nbsp;Manage rolling calculation cycles &mdash; 3-year rolling averages for employment and retention KPIs; 5-year averages for research and collaboration KPIs; cumulative totals for IP and research impact
 
 
 &bull;&nbsp;Coordinate graduate employment tracking processes including the 12-month post-graduation employment survey, internship-to-employment conversion rates, and relevant job classification in line with MoHESR definitions
 
 
 &bull; Maintain KPI evidence packages including employer feedback forms, work placement completion records, micro credential and professional license registers, student satisfaction data, and industry contribution records
 
 
 &bull; Prepare OBEF scorecard submissions and support institutional and programmatic performance monitoring against OBEF thresholds
 
 
 &bull;&nbsp;Liaise with academic and professional services teams to collect, validate, and reconcile OBEF data inputs across faculties and support functions
 
 
 
 
 
 
 2.HEDB / CHEDS Regulatory Reporting
 
 
 
 
 &bull;
 
 Coordinate the preparation, validation, and submission of all HEDB datasets required by MoHESR across reporting cycles, including student enrolment, academic outcomes, graduation, and research data
 
 
 &bull;&nbsp;Manage CHEDS-to-HEDB transition workflows and ensure submission readiness in line with MoHESR's evolving portal requirements
 
 
 &bull;&nbsp;Validate HEDB datasets for completeness, accuracy, and consistency with institutional records held in Educore and related systems
 
 
 &bull;&nbsp;Maintain submission logs, data quality records, and audit trails for all HEDB reporting cycles
 
 
 &bull;&nbsp;Monitor MoHESR portal updates, deadline schedules, and data specification changes and ensure timely institutional responses
 
 
 &bull;&nbsp;Support CAA reporting obligations that draw on overlapping HEDB data sources
 
 
 
 
 
 
 3.Application and System Administration
 
 
 
 &bull;&nbsp;Manage the day-to-day administration of Educore and other relevant institutional applications, including user access, role-based permissions, and validation rules
 
 
 &bull;&nbsp;Monitor system functionality, data integrity, and operational performance across institutional data platforms
 
 
 &bull;&nbsp;Coordinate system updates, testing, enhancements, and release of new functionality with vendors and internal stakeholders
 
 
 &bull;&nbsp;Support issue resolution and escalation relating to application performance and data system functionality
 
 
 &bull;&nbsp;&nbsp;Maintain Educore data configurations to support OBEF and HEDB data extraction workflows
 
 
 &nbsp;
 
 
 
 4.API Integration and Technical Readiness
 
 &nbsp;
 
 
 &nbsp;&bull;&nbsp;Lead institutional readiness for MoHESR's transition from HEDB portal submission to master API-based data exchange, coordinating endpoint mapping, testing, and implementation activities
 
 
 &bull;&nbsp;Support KHDA API integration requirements, including technical coordination, data mapping, and post-implementation monitoring
 
 
 &bull;&nbsp;Liaise with Home Campus IT, MoHESR technical teams, KHDA API teams, and Educore to ensure system-to-system data exchange is accurate, secure, and compliant
 
 
 &bull;&nbsp;Document institutional data architecture, API workflows, system interfaces, and integration arrangements
 
 
 &bull;&nbsp;&nbsp;Support pilot testing, rollout, and post-implementation monitoring of new integrations
 
 
 
 
 
 
 5.Data Quality, Validation, and Reconciliation
 
 
 
 &bull;&nbsp;Carry out data validation, reconciliation, and quality assurance checks across Educore, HEDB, OBEF datasets, and supporting evidence registers
 
 
 &bull;&nbsp;Identify data gaps, inconsistencies, and quality issues and coordinate corrective actions with relevant teams
 
 
 &bull;&nbsp;Maintain data quality logs, issue registers, and improvement action records
 
 
 &bull;&nbsp;Support standardization of reporting processes to reduce reliance on manual workarounds and ad hoc data extractions
 
 
 &bull;&nbsp;Develop and maintain data dictionaries, reporting logic documentation, and KPI calculation guides aligned to MoHESR OBEF definitions
 
 
 
 
 
 
 6.Stakeholder Liaison and Regulatory Coordination
 
 
 
 &bull;&nbsp;Act as the primary operational point of contact for data systems, OBEF reporting, HEDB submissions, and API integration matters
 
 
 &bull;&nbsp;Liaise with MoHESR data and technical teams, KHDA regulatory and API teams, CAA, Educore, and Home Campus IT
 
 
 &bull;&nbsp;Coordinate technical clarifications, regulatory follow-up actions, and issue resolution with external stakeholders in a timely and professional manner
 
 
 &bull;&nbsp;Ensure institutional responses to regulators and system partners are accurate, consistent, and properly documented
 
 
 
 
 
 
 7.Documentation, Audit, and Compliance Support
 
 
 
 &bull;&nbsp;Maintain up-to-date SOPs, user guides, OBEF evidence registers, HEDB submission records, integration documentation, and system administration logs
 
 
 &bull;&nbsp;Support audit readiness by ensuring availability of records, evidence trails, and compliance documentation for MoHESR, KHDA, and CAA
 
 
 &bull;&nbsp;Contribute to inspection preparation by providing clear evidence of data governance, KPI validation controls, reporting practices, and system management
 
 
 &bull;&nbsp;Support the implementation of secure and compliant data handling practices in line with institutional and Home Campus requirements
 
 
 
 
 
 
 Role Specification
 
 
 
 &nbsp;
 
 Essential Qualifications
 
 
 
 &bull;&nbsp;Bachelor&rsquo;s degree in information systems, Data Management, Computer Science, Business Information Systems, or a related field
 
 
 
 
 
 
 Essential Knowledge and Experience
 
 
 
 &bull;&nbsp;Experience administering institutional applications, databases, or student information systems
 
 
 &bull;&nbsp;Experience in data reporting, validation, reconciliation, and quality assurance
 
 
 &bull;&nbsp;Experience working with complex datasets, multi-cycle reporting requirements, and cross-functional stakeholders
 
 
 &bull;&nbsp;Experience coordinating with internal and external technical teams, vendors, or service providers
 
 
 &bull;&nbsp;Understanding of system integrations, APIs, and data workflows
 
 
 &bull;&nbsp;Experience maintaining system documentation, audit trails, and operational records
 
 
 &bull;&nbsp;Strong working knowledge of Excel and data reporting tools
 
 
 
 
 
 
 Desirable Knowledge and Experience
 
 
 
 &bull;&nbsp;Experience within UAE higher education or another regulated sector
 
 
 &bull;&nbsp;Familiarity with MoHESR regulatory frameworks, including OBEF (24-KPI framework), HEDB/CHEDS submission processes, and CAA reporting requirements
 
 
 &bull;&nbsp;Understanding of OBEF KPI definitions, data sources, calculation methodologies, and evidence requirements across all six pillars (Employment, Learning, Industry Collaboration, Research, Reputation, Community Engagement)
 
 
 &bull;&nbsp;Familiarity with KHDA regulatory reporting and API integration frameworks
 
 
 &bull;&nbsp;Experience working with dashboard reporting, compliance monitoring, or institutional data governance frameworks
 
 
 &bull;&nbsp;Experience supporting role-based access controls, Row-Level Security, or similar access management arrangements
 
 
 &bull;&nbsp;Familiarity with Educore or comparable student records and compliance platforms
 
 
 &bull;&nbsp;Understanding of MoHESR's transition from portal-based HEDB submission to master API integration
 
 
 
 
 
 
 Skills and Competencies
 
 
 
 &bull;&nbsp;Strong analytical and problem-solving skills with the ability to interpret complex regulatory data requirements
 
 
 &bull; High attention to detail and accuracy in data validation and reporting
 
 
 &bull;&nbsp;Ability to manage multiple reporting cycles, deadlines, and priorities simultaneously
 
 
 &bull;&nbsp;Strong communication and stakeholder management skills across operational, technical, and regulatory functions
 
 
 &bull;&nbsp;Ability to translate technical data issues into clear operational and regulatory language
 
 
 &bull;&nbsp;Strong organizational skills and ability to maintain accurate records, evidence registers, and documentation
 
 
 &bull;&nbsp;Professional judgement, discretion, and accountability in handling institutional data
 
 
 
 
 
 
 Key Regulatory Context
 
 
 rameworkelevance to This Role
 
 
 
 
 OBEF (MoHESR)
 
 
 
 24 KPIs across 6 pillars. Institutional and programmatic scoring. Rolling 3- and 5-year calculations. Transitioning to master API submission.
 
 
 
 HEDB / CHEDS
 
 
 
 MoHESR's Higher Education Database. Multi-cycle student data submissions covering enrolment, outcomes, and graduation. Feeds directly into OBEF KPI calculations.
 
 
 
 KHDA
 
 
 
 Dubai regulator. API integration and institutional dashboard reporting. Requires dedicated technical and data liaison.
 
 
 
 CAA
 
 
 
 Commission for Academic Accreditation. Accreditation and quality reporting that draws on overlapping OBEF and HEDB data sources.
 
 
 
 Master API
 
 
 
 MoHESR's long-term data submission infrastructure replacing HEDB portal and CAA manual submissions. Requires institutional API readiness and integration coordination.
 
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Institutional Data Regulatory Compliance Analyst

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