data quality manager

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; Artificial Intelligence (DIAI)
 
 
 
 Location:
 
 Egypt, Bulgaria, Greece
 
 
 
 
 
 As a Product Expert for Data Control &amp; Data Quality, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC). You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization. This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms and the emerging AI and GenAI techniques, combined with full ownership of deliverables from production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable, automated and intelligent data quality solutions.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 
 
 Data Quality Controls (DCC)
 
 
 
 &bull; Lead the design and end-to-end ownership of Data Quality controls in the Data Control Center (DCC), from implementation through production support and continuous improvement
 
 
 &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives
 
 
 &bull; Discover the possibility of AI solutions for advanced checks and/or smart data errors remediation.
 
 
 &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 
 
 
 
 
 
 Monitoring, Operations &amp; Issue Resolution
 
 
 
 &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 
 
 &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 
 
 &bull; Support incident resolution and contribute to continuous operational improvements.
 
 
 
 
 
 
 Continuous Improvement &amp; Enhancement
 
 
 
 &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 
 
 &bull; Identify opportunities to improve automation, intelligence, scalability and reusability of controls and monitoring processes.
 
 
 &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 
 
 &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 
 
 
 
 
 
 Data Standards Operationalization
 
 
 
 &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 
 
 &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 
 
 
 
 
 
 Collaboration &amp; Delivery Support
 
 
 
 &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 
 
 &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 
 
 &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 
 
 
 
 
 
 Testing, Release &amp; Documentation
 
 
 
 &bull; Support release and testing activities, including UAT support and regression testing.
 
 
 &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; 3+ years in data engineering / data science /analytics engineering / data quality engineering
 
 
 &bull; Strong SQL and Python for scalable data validation and monitoring
 
 
 &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 
 
 &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 
 
 &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 
 
 &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 
 
 &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 
 
 &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 
 
 
 
 
 
 REQUIRED TECHNICAL SKILLS
 
 
 
 &bull; SQL
 
 
 &bull; Python
 
 
 &bull; PySpark
 
 
 &bull; Azure Databricks
 
 
 &bull; Azure Data Factory
 
 
 &bull; Power BI
 
 
 &bull; Machine Learning
 
 
 &bull; AI/ GenAI
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 &bull; Power Platform (Power Automate, etc.)
 
 
 &bull; Microsoft Fabric
 
 
 &bull; Copilot Studio
 
 
 &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 
 
 &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
 
 
 
</div>

Data Engineer

Deloitte

<div>
 
 AI &amp; Data &ndash; Data Management, Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 During your tenure as Data Management Manager, We are expecting the ideal candidate to have those capabilities:
 
 
 
 Technical Capabilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of enterprise-wide data management solutions (preferably using Informatica IDMC), covering Data Governance, Data Quality Metadata management &amp; Master data management (MDM) in compliance with NDMO, DAMA.
 </li>
 <li>
 Develop and implement data architecture blueprints and data integration models aligned with business needs.
 </li>
 <li>
 Manage large-scale data migration and integration programs, leveraging ETL/ELT tools and cloud-based platforms (e.g., Azure, GCP, AWS).
 </li>
 <li>
 Develop and maintain data quality frameworks (preferably using IDMC) &mdash; defining business rules, scorecards, and automated data remediation processes.
 </li>
 <li>
 Provide expertise in data cataloging tools (e.g., Collibra, Alation, Informatica, Ataccama, etc.).
 </li>
 <li>
 Oversee metadata and lineage management (Preferably leveraging Informatica Data Catalog and Axon), ensuring end-to-end data visibility.
 </li>
 <li>
 Lead master and reference data management implementations, including hierarchy management, survivorship rules, and golden record creation.
 </li>
 <li>
 Collaborate with analytics and reporting teams to ensure data availability, reliability, and single source of truth.
 </li>
 <li>
 Ensure data security, privacy, and compliance with NDMO, PDPL, GDPR and related frameworks.
 </li>
 <li>
 Lead and mentor teams on data governance frameworks, metadata strategies, and stewardship processes.
 
 
 </li>
 </ul>
 
 Functional Capabilities
 
 
 
 <ul>
 <li>
 Define and operationalize data strategies and operating models in alignment with client business objectives.
 </li>
 <li>
 Sound working knowledge of data management frameworks like NDMO, DAMA.
 </li>
 <li>
 Advise senior stakeholders on data governance maturity and roadmap development.
 </li>
 <li>
 Translate business challenges into data-driven solutions, connecting data management to business value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., finance, HR, operations, digital) to embed data ownership and stewardship roles.
 </li>
 <li>
 Support change management and data literacy initiatives to strengthen organizational data culture.
 </li>
 <li>
 Develop proposals, statements of work, and contribute to practice development for data management offerings.
 </li>
 <li>
 Manage client relationships, ensure delivery excellence, and oversee junior team members&rsquo; growth.
 
 
 </li>
 </ul>
 
 Leadership Capabilities
 
 
 
 <ul>
 <li>
 Identifies and embraces our purpose and values and puts these into practice in their professional life
 </li>
 <li>
 Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
 </li>
 <li>
 Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
 </li>
 <li>
 Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
 </li>
 <li>
 Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
 </li>
 <li>
 Excellent communication and people skills, with a strong emphasis on team working
 </li>
 <li>
 Strong administrative and numeracy skills and ability to analyze complex data with good attention to details
 </li>
 <li>
 Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 8-10 years of practical experience in Data Management Platform implementations or related roles.
 </li>
 <li>
 Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.
 </li>
 <li>
 Good command of written and spoken English.
 </li>
 <li>
 Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Big Four or Global System Integrators is a plus.
 </li>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certification in any of the data management tools (preferably Informatica IDMC) or platforms will be a plus.
 </li>
 </ul>
</div>

Manager | AI & Data | Data Management

Social Security Administration

Chief Data Officer

Jaarvis Technologies

Key Responsibilities <ul><li>Implement and align data practices with DAMA-DMBOK framework</li><li>Define and manage data governance, data quality, and data standards</li><li>Collaborate with business and technical teams to improve data management processes</li><li>Support data strategy, policies, and compliance initiatives</li><li>Conduct data assessments and maturity evaluations</li><li>Ensure proper data documentation, lineage, and stewardship practices</li><li>Work closely with stakeholders to drive data-driven decision-making</li></ul>Required Skills &amp; Qualifications<ul><li>4&ndash;8 years of experience in data management / data governance / DAMA frameworks</li><li>Strong understanding of DAMA-DMBOK, data governance, and data quality frameworks</li><li>Experience with data tools, metadata management, and data cataloging</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work on-site in a client-facing role</li></ul>Mandatory Requirements<ul><li>Arabic language proficiency (spoken &amp; professional communication)</li><li>Strong interpersonal and client-facing communication skills</li><li>Willingness to work on-site full-time</li></ul>Preferred Criteria<ul><li>DAMA certification (CDMP) is a plus</li><li>Experience in enterprise environments / consulting roles</li></ul>Pay: From ﷼150,000.00 per monthApplication Question(s):<ul><li>Are you proficient in Arabic (spoken and professional communication)?</li><li>Do you hold a DAMA certification (CDMP or equivalent)?</li><li>Are you willing to work on-site in Saudi Arabia full-time?</li><li>Do you have 4&ndash;8 years of experience in data governance, data management, or DAMA frameworks?</li><li>Do you have hands-on experience implementing DAMA-DMBOK principles in an enterprise environment?</li><li>Have you worked in consulting or client-facing roles?</li><li>Briefly describe your experience with data governance, data quality, and data standards:</li><li>Which data tools or platforms have you worked with (e.g., data cataloging, metadata tools)?</li></ul>Work Location: In person

DAMA Consultant

Master Works

<div>
 As a Data Management Consultant, you will be responsible for designing and implementing data management strategies, including data governance, data quality, and data lifecycle practices to ensure data integrity, security, and business value across the organization.
 
 
 <ul>
 <li>
 Assess current data governance practices and define a clear roadmap for improvements
 </li>
 <li>
 Establish and enforce data governance frameworks, policies, and standards to enhance data quality and accessibility
 </li>
 <li>
 Collaborate with data owners and stakeholders to identify data stewardship roles and responsibilities
 </li>
 <li>
 Conduct training and workshops to promote awareness of data governance principles and best practices
 </li>
 <li>
 Monitor compliance with data governance policies and report on the effectiveness of governance initiatives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in data governance or related roles
 </li>
 <li>
 Strong understanding of Experience in conducting data quality assessments data governance frameworks and data privacy regulations
 </li>
 <li>
 Excellent analytical and problem-solving skills
 </li>
 <li>
 Strong communication and presentation skills
 </li>
 <li>
 Preferred certifications in data governance (CDMP, DGI-P)
 </li>
 <li>
 Familiarity with data governance tools and technologies
 </li>
 <li>
 Bachelor's degree in Information Management, Computer Science, or related field
 </li>
 <li>
 Excellent leadership and team development skills
 </li>
 <li>
 Arabic: Native
 </li>
 <li>
 English: Fluent
 </li>
 </ul>
</div>

Data Management Consultant

MASTER-WORKS

<div>As a Data Management Consultant, you will be responsible for designing and implementing data management strategies, including data governance, data quality, and data lifecycle practices to ensure data integrity, security, and business value across the organization.<ul><li>
Assess current data governance practices and define a clear roadmap for improvements.</li><li>
Establish and enforce data governance frameworks, policies, and standards to enhance data quality and accessibility.</li><li>
Collaborate with data owners and stakeholders to identify data stewardship roles and responsibilities.</li><li>
Conduct training and workshops to promote awareness of data governance principles and best practices.</li><li>
Monitor compliance with data governance policies and report on the effectiveness of governance initiatives.</li></ul> 

Requirements 
<ul><li>
7+ years of experience in data governance or related roles</li><li>
Strong understanding of Experience in conducting data quality assessments data governance frameworks and data privacy regulations</li><li>
Excellent analytical and problem-solving skills</li><li>
Strong communication and presentation skills</li><li>
Preferred certifications in data governance (CDMP, DGI-P)</li></ul><ul><li>
Familiarity with data governance tools and technologies</li><li>
Bachelor's degree in Information Management, Computer Science, or related field</li><li>
Excellent leadership and team development skills.</li><li>
Arabic: Native</li><li>
English: Fluent</li></ul></div>

Saudi Credit Information Company - SIMAH

<div>
 
 
 JOB PURPOSE / ROLE:
 
 
 
 To fully and effectively direct the Data Quality Unit within the Data Management Department within SIMAH. The purpose of this role is to direct various areas related to data Quality such as data acquisition, analysis, accuracy, integrity, conformity, completeness, uniqueness, timeliness and consistency.
 
 
 
 
 
 
 RESPONSIBILITY:
 
 
 
 
 Strategic
 
 
 <ul>
 <li>
 Directing to the development of SIMAH&rsquo;s Data Management strategic and leadership.
 </li>
 </ul>
 
 
 
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work on carried out in a controlled and consistent manner.
 </li>
 </ul>
 
 
 
 
 
 Budget
 
 
 <ul>
 <li>
 Direct the Recommends of the inputs for the Data Management budget under the supervision of Chief Data Officer
 </li>
 <li>
 Directs and oversees yearly budgeting of Data Management in coordination with Chief Data Officer
 </li>
 <li>
 Directs the Work with business stakeholders as Data steward.
 </li>
 </ul>
 
 
 
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Directs the day-to-day operations related to own job to ensure continuity of work.
 </li>
 </ul>
 
 
 
 
 
 People Management
 
 
 <ul>
 <li>
 Ensures subordinates have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff.
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Direct the Oversee the overall Data Management activities within SIMAH and continuing the progress within the department.
 </li>
 <li>
 Direct periodically the Subordinates relation processes and ensure the completion.
 </li>
 </ul>
 
 
 
 
 
 Reporting
 
 
 <ul>
 <li>
 Direct in the preparation of timely and accurate reports of SIMAH to meet company and department requirements, policies, and standards.
 </li>
 </ul>
 
 
 
 
 
 Safety, Quality &amp; Environment
 
 
 <ul>
 <li>
 Complies with all relevant safety, quality and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
 </li>
 </ul>
 
 
 
 
 
 Related Assignments
 
 
 <ul>
 <li>
 Performs other related duties or assignments as directed.
 </li>
 </ul>
 
 
 
 
 
 Information Security/Cyber Security / BCM/Privacy
 
 
 <ul>
 <li>
 Implementation of and compliance with the cybersecurity/privacy/ Business Continuity requirements as per SIMAH&rsquo;s policies and procedures.
 </li>
 <li>
 Ensure that standards, processes and procedures of your department reflect Security/privacy/ Business Continuity requirements (if applicable).
 </li>
 <li>
 Ensure that individuals within your department accept and comply with the Cyber Security/Privacy/ Business Continuity policy, supporting standards and procedures when they are issued and updated.
 </li>
 <li>
 Coordinate with Risk Department to identify and report cyber security and privacy risks and vulnerabilities, availability and continuity risks in IT systems
 </li>
 <li>
 Immediately report cyber security and privacy incidents to Risk Department (Information Security unit).
 </li>
 <li>
 Coordinate with Risk Department to effectively and efficiency implement agreed on security, privacy and availability controls
 </li>
 <li>
 Coordinate with Risk Department to review cyber security, privacy and Continuity controls of third-party service providers for your department
 </li>
 <li>
 Ensure continuity of critical activities and systems that is related to your department.
 </li>
 <li>
 Ensure that all subordinate employees are communicated and aware about the Information and Cyber Security Policies/Privacy Policy/ Business Continuity policy distributed based on &ldquo;Need to Know and/or Need to do basis&rdquo;.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE:
 
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in IT, IS, MIS, Electronic Business, Data Analytics or any in other relevant discipline.
 </li>
 <li>
 8 - 12 years of relevant experience
 </li>
 </ul>
 
 
 
 
 
 Language:
 
 
 <ul>
 <li>
 English: Advanced
 </li>
 </ul>
 
 
 
 
 
 Soft skills &amp; Technical Knowledge areas:
 
 
 <ul>
 <li>
 Achieving Results
 </li>
 <li>
 Adaptability &amp; Improvement
 </li>
 <li>
 Commitment &amp; Motivation
 </li>
 <li>
 Technical Excellence
 </li>
 </ul>
 
 
</div>

Head of Data Quality

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