15 Clinical Data Manager jobs in the United Arab Emirates

Join us at Enquo, where we're dedicated to harnessing the transformative power of data and technology. As leaders in technology and data solutions, we prioritize humanity in everything we do. Our mission is clear: to empower organizations to unlock the full potential of their data through cutting-edge technology and exceptional services.

We envision a brighter future, where technology ignites extraordinary achievements and drives profound transformation. Here at Enquo, challenges are opportunities, and our passionate team thrives on making meaningful impacts on society. With humility and a collaborative spirit, we leverage teamwork and creative thinking to deliver optimal and trustworthy solutions.

Asa purpose-driven company, were passionate about using data and technology as catalysts for positive change. Our vision extends to a world where everyone can harness the power of data to reach their fullest potential. At Enquo, honesty, trust, and empathy form the foundation of our simple business language. Were agile, adaptable, and committed to bridging any business need with innovative data solutions.

Join our journey, where curiosity and entrepreneurship drive us to explore uncharted territories and create solutions that truly matter. We foster a collaborative and inclusive environment, valuing every team member's contributions. If you're a talented, curious, and creative individual who thrives in a fast-paced, dynamic setting, we invite you to be part of our mission. Together, let's create new opportunities through data and technology, shaping a more humane future for all.

Enquo: fueling a better future through innovation, data, and technology.

The Master Data Management Lead will be responsible for defining, designing, and building dimensional databases to meet business needs. Assisting in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.

• Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion
• Experience in ETL processes and advanced SQL skills.
• Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
• Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
• Practical experience working in an Agile Methodology

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• Proven experience in data quality management, with at least 8 years of experience in a leadership role.
• Strong understanding of data quality frameworks, tools, and methodologies.
• Proficiency in SQL and experience working with data profiling tools.
• Excellent analytical and problem-solving skills.
• Leadership and team management abilities.
• Effective communication and collaboration skills.
• Familiarity with data governance principles is a plus.

Role: Manager - Risk Data Management

Location: Abu Dhabi

Role Purpose:

The role requires very strong technical and communication skills.

Main responsibilities include:

• Manage risk data including data capturing organizing storing and analyzing for development validation and implementation of Credit Risk Models and Scorecards.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulating management techniques for quality data collection to ensure adequacy accuracy and legitimacy of data.
• Ensure implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements.
• Engaging in Risk Architecture projects including implementation of various risk IT applications data analytics data flows standards and processes.
• Develop and implement AI analytics to analyze risk data use machine learning techniques to identify patterns trends and potential risks including exploration data analysis and data quality trend assessment
• Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies
• Project management with ability to execute plans and meet project objectives as well as the ability to respond and resolve diverse needs of team. Must be detail-oriented and able to multitask.
• Strong knowledge of Information Technology systems Risk Management systems tools applications and relational database management system software development and ability to code.
• Role requires independent thinking strong communication initiative interaction with all stakeholders within the bank.

Key accountabilities / responsibilities:

• Manage and maintain data for risk models implementation and scorecards development.
• Devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects.
• Liaise and engage with external vendors and IT team for project implementation.
• Good quantitative analysis and finance skills experience of working with Statistical Software (SAS/Python/R).
• Knowledge of Data Analytics and reporting tools and software used (Power BI SAP BusinessObjects SQL Server).
• Perform data analytics for modelling teams in development recalibration and validation of Risk and statistical models by carrying out data preparation segmentation analysis and testing tasks. Assist with data extraction when needed.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Troubleshoot data-related problems and authorize maintenance or modifications.
• Ensure data quality review and standard checks to assess the data completeness accuracy timeliness uniqueness and traceability.
• Provide analytics and quantitative support as and when necessitated.
• Implement data tracking and monitoring tools analyze and validate data ensuring data security.
• Manage reporting for senior management or regulator.
• Team player and leader with the ability to work very effectively in a collaborative and team-oriented manner with other team members.
• A positive work attitude and confident eager and willing to take on new challenges. Must be cooperative with good interpersonal leadership negotiation and conflict resolution skills. Self-motivated detail-oriented should exhibit problem solving skills as well as ability to deliver under pressure.
• Willing to take on additional responsibilities and tasks as the needs arise.
• To perform any other responsibility assigned by Head Enterprise Risk Management Group from time to time.

Education and experience:

• Minimum 5 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred

Specialist skills / technical knowledge required for this role:

• Excellent Credit Risk modelling analytical and research skills.
• Experience working with large and complex data sets including alternative data (bureau open banking etc.) for credit models.
• Good knowledge of financial markets and products and aware of the latest analytical techniques including ML algorithms such as SVM Random Forest and Gradient Boosting etc.
• Possess good knowledge of credit risk management best practices including but not limited to pertinent Basel II Basel III and IFRS 9 Framework on expected credit risk loss credit risk management and capital adequacy requirements.
• Possess strong quantitative skills and experience in developing validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
• Advanced users of statistical tools and programming languages (such as SAS R Python and SQL)
• Should have a strong knowledge of handling Risk Technologies & its implementation.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Ability to work independently on multiple tasks and/or projects.
• Excellent oral and written communication skills in English.
• Proficiency in risk concepts banking products/ operations/ systems pertinent regulatory requirements
• Flexible team player and able to work and deliver under pressure.

Required Experience:

Manager

• Full-time
• Sub Division: FAB Islamic Finance
• Division: Personal, Wealth & Business Banking

Looking to join the #1 bank in the UAE and one of the most prestigious in the region? We're looking for professionals who are driven, skilled, and ready to take on new challenges. Together, we can achieve our goals, making a lasting impact on both our company and the industry as a whole.

Join us and leave your mark on the industry. Let's work together to achieve great things and unlock new possibilities for our employees, customers, and communities.

This role holder is mainly responsible for the following:

• Assisting in forming, implementation and execution of business planning & data management for FAB-Islamic
• Manage the company’s management reporting process including the development, communication and implementation of management reporting requirements and timetables that align with Group management reporting requirements to ensure efficiency and accuracy.
• Support & develop user friendly MIS related (both Assets and Liabilities) to products, Branches, Sales.
• Responsible for FAB-Islamic incentive calculation & payout and amending the incentives policy on a yearly basis in alignment with Group.
• Co-ordinate with SALAMA and our group insurance team for customer’s Takaful life insurance, premium & claims.
• Design and deliver adhoc performance reporting and analytics for a range of business requirements focused on the key drivers of value in the organization.
• Co-ordinate with group business management team for all kinds of reporting purpose.
• Co-ordinating with business, support & FCD team in terms of finalizing the budgets, planning, other financial requirements & to support any task fulfilment.
• Prepare performance appraisal scorecard for higher management staff’s.

Generic Accountability

• Develop, manage agreed company metrics and key performance criteria linked to strategy and business plans to ensure appropriate metrics are included within Management reporting to support decision making.
• Prepare monthly FAB-Islamic incentive calculation & payout and amending the incentives policy on a yearly basis in alignment with Group.
• Monitor the complete business related MIS on a daily, weekly & monthly basis for FAB-Islamic
• Prepare monthly HF Life Takaful Fee deduction report for FAB-Islamic Mortgage Customers.
• Review and challenge business performance in relation to forecast plans and suggest improvements or opportunities for FAB-Islamic.
• Manage the production of accurate and high quality data management, consolidated reporting in required timeframes, including both routine and ad hoc reporting, and ensuring that these anticipate the emerging needs of a rapidly changing business.
• Support in exploring the potential of FAB-Islamic customers from various dimensions, harnessing through the existing customer base for the cross-sell activities in order to increase the customer product holding and profitability.
• Develop and produce reporting analytics to clearly identify key trends or issues in the company that necessitate further analysis and discussion.
• Engaging and liaising with IT & digitalization teams for continues system enhancement and improvisation of FAB-Islamic platform.

Specific Accountability

• Contribute broadly to strategic and operational priorities, discussions and decisions as a member of the business management team and drive collaboration and sharing of best practice.
• Monitor on a regular basis, the business performance vis-à-vis budgets (Product, Branch Distribution, Sales)
• Co-ordinate with SALAMA and our group insurance team for customer’s Takaful life insurance, premium & claims.
• Co-ordinate with group business management team for all kinds of reporting purpose.
• Co-ordinating with business, support & FCD team in terms of finalizing the budgets, planning, other financial requirements & to support any task fulfilment.
• Prepare performance appraisal scorecard for higher management staff’s.
• Design and deliver ad hoc performance reporting and analytics for a range of business requirements focused on the key drivers of value in the organization.
• Review customer database from time to time and identify cross selling opportunities for increased profitability.
• Masters qualification – Master of Business Administration (MBA) in finance
• 4+ year’s relevant experience in the banking & Financial Institutions sector within a fast-paced and dynamic business environment in similar positions of progressively increasing managerial responsibilities in similar functions.
• Ability to think strategically and cope with business complexity in high stress situations.
• Significant exposure to and participation in business and financial planning and decision-making.
• Highly developed analytical and critical thinking skills, with the ability to bring together diverse data and information and form sound judgments and insights.
• Highly developed understanding of commercial realities and well developed business acumen.

Candidate should have hands on experience with Microsoft Excel, Power point and Basic Power BI knowledge

#J-18808-Ljbffr

We are currently looking forMaster Data Management (MDM) Consultant forourUAE operations with the following Skill set and terms & conditions.

Skill Sets :

Implements and maintains MDM platforms (e.g. Informatica MDM SAP MDG).

Ensures consistency of key master data domains: customers products vendors etc.

Knowledge of data matching survivorship rules and data governance frameworks.

Strong integration skills with ERPs CRMs and external systems.

Typically 58 years of experience.

5 to 8 Years.

Joining time frame:2 weeks (maximum 1 month)

Additional Information :

Terms and conditions:

Joining time frame: maximum 4 weeks

Remote Work :

No

Employment Type :

Full-time

Job Title:Senior Associate Model Implementation & Data Management

Location: Abu Dhabi

Role Purpose:

• The role requires very strong technical and communication skills.
• Manage risk data including data capturing organizing storing and analyzing for development validation and implementation of Risk Rating Models and Scorecards.
• Conduct risk analytics and generate comprehensive risk reports.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulating management techniques for quality data collection to ensure adequacy accuracy and legitimacy of data.
• Engaging in Risk Architecture projects include implementation of various risk IT applications data analytics data flows standards and processes.
• Strong knowledge of Information Technology systems Risk Management systems tools applications and relational database management system. Software development and ability to code.
• Develop and implement AI analytics to analyze risk data. Use machine learning techniques to identify patterns trends and potential risks including exploration data analysis and data quality and trend assessment
• Design data tracking and monitoring tools. Analyze and validate data ensuring data security.
• Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies

Key accountabilities / responsibilities:

• Manage and maintain data for risk models implementation and scorecards development.
• Oversee Credit Risk management processes including Basel II and IFRS9 compliance.
• Conduct risk analytics and generate comprehensive risk reports.
• Utilize statistical tools such as SAS R and Python for data analysis and model development.
• Write advanced SQL queries to extract manipulate and analyze data.
• Develop and implement data science machine learning and artificial intelligence solutions to enhance risk management processes.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Communicate findings and insights effectively to stakeholders.
• Foster a collaborative and team-oriented work environment.
• Stay updated with industry trends and advancements in AI and data analytics.
• Continuously seeking opportunities to enhance risk management processes

Education and experience:

• Minimum 3 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred

Specialist skills / technical knowledge required for this role:

• Experience working with large and complex data sets including alternative data (bureau open banking etc.) for credit models.
• Experience in Credit Risk modelling and Risk analytics preferred.
• Experience with data science machine learning and artificial intelligence techniques including generative AI classification regression and clustering.
• Possess strong quantitative skills and solid experience in developing validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
• Advanced user of statistical software (such as SAS and R or Python and SQL)
• Good knowledge of handling Risk Technologies & its implementation.
• Ability to work independently on multiple tasks and/or projects.
• Excellent oral and written communication skills in English.
• Proficiency in risk concepts banking products/ operations/ systems pertinent regulatory requirements
• Flexible team player and able to work and deliver under pressure.

Required Experience:

Senior IC

• A university degree or equivalent relevant job experience.
• Deep functional expertise in SAP S/4 HANA FI and/or CO, plus experience in at least one additional module.
• Minimum 7 years (preferably international) SAP consulting experience.
• SAP DMLT tools and methodology, and data migration/conversion experience is a plus.

Data Management, Manipulation and Analysis using Excel

ID 473

Course: Data Management, Manipulation and Analysis using Excel

This course is aimed at professionals who have, or will soon have, responsibility for managing and manipulating data using MS Excel on a day-to-day basis. The course assumes zero knowledge, begins with an introduction to the Excel environment, and ends with delegates being skilled in using 50+ MS Excel functions, sophisticated data management, and charting techniques, and advanced data analysis capability.

This course will feature:

• Advanced data analysis
• Both textual and numerical data
• Forecasting
• Advanced charting

By the end of this course, participants will be able to:

• Analyse relationships across information and data using MS Excel.
• Generate data forecasts using MS Excel.
• Organise your company’s data in a more structured manner.
• Analyse your data effectively using various MS Excel techniques.
• Select the appropriate chart for your data.

This course is suitable for a wide range of professionals but will greatly benefit:

• Administrators using MS Excel at a very basic level
• Administrators with a need to improve data management techniques utilising MS Excel
• New Administrative Staff with no prior knowledge of MS Excel
• HR professionals seeking to use MS Excel to analyse employee data and inventory data
• Oil and Gas, telecommunications, and electricity industry employees looking to improve their data management and data representation skills

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The course will be split up into themes with a series of exercises based on each theme. The approach will also be incremental with each session building on prior knowledge. Each delegate will be introduced to practical, hands-on learning using MS Excel.

Delegates can bring their own Windows or Mac OS laptop to the sessions, for them to be comfortable with the environment and version of MS Excel that they will be working on.

Day One: An Introduction to the MS Excel Environment

• Cell referencing, cell formatting, and entering formula
• Copy and pasting
• Introductory charts

Day Two: Using MS Excel Functions for Fundamental Data Analysis

• Use of text function, FIND(), LEN(), LEFT(), RIGHT() and &
• Use of count functions, COUNTA(), COUNTIF(), COUNTIFS() and SUMIF()
• Basic statistical functions, Max and Average
• Filtering, sorting, and use of conditional formatting

Day Three: Intermediate MS Excel Functions

• Use of VLOOKUP() and HLOOKUP()
• Date functions, YEAR(), MONTH(), DAY(), YEARFRAC()
• Selecting appropriate charts
• Introduction to Pivot tables

Day Four: Carrying out Statistical Analysis using MS Excel

• Using MS Excel to calculate mean, mode, and median
• The difference between the various standard deviation and variance function in MS Excel
• Using MS Excel to examine inter-dependency
• Drawing histograms in MS Excel
• Introduction to Data Analysis functions

Day Five: What if and Scenario Analysis Using MS Excel

• Naming cells in MS Excel
• Linking cells together to undertake scenario analysis
• Introduction to solver
• Advanced charting
• Sharing MS Excel output with other office formats

European Quality Training and Management Consultancy

At European Quality Training and Management Consultancy, we provide high-quality training and consultancy services to develop future leaders. With a team of skilled experts, we tailor programs to meet the needs of public and private sectors, grounded in quality, ethics, and social responsibility. Our client-focused approach ensures professionalism and sustainable outcomes.

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Direct message the job poster from Roads and Transport Authority

Seeking a highly skilled Data Management & Platform Section Manager to lead the development, governance, and optimization of enterprise-wide data infrastructure. This role is central to ensuring secure, scalable, and value-driven data platforms that support the organization's strategic goals.

Job Purpose

To lead the Data Management & Platform Section , overseeing the development and execution of data strategies , implementation of governance frameworks , and maintenance of enterprise-grade data platforms to support operational, regulatory, and analytical needs across RTA.

Key Responsibilities

• Lead and manage RTA's Data Management & Platform team , serving as the central point of contact across business units
• Oversee execution of initiatives in data governance , data quality , cataloguing , and platform innovation
• Drive innovation and scalability in enterprise data architecture and platform design
• Provide leadership updates to the Data Governance Council on key metrics, challenges, and outcomes
• Enable cross-departmental collaboration to align data use cases with organizational priorities
• Monitor data-related projects, ensuring timely delivery, KPI tracking, and continuous improvement
• Guide support to advanced AI and analytics use cases in coordination with other technical sections

Education & Certifications

• Bachelor's or Master's degree in Data Science , Computer Science , Information Systems , or a related technical field

Skills & Expertise

• Deep understanding of data governance , metadata management , and enterprise architecture
• Experience with big data technologies and scalable platform design
• Proficient in managing data quality , cataloguing tools , and data strategy execution
• Strong leadership and team management capabilities in cross-functional settings
• Ability to align data frameworks with business goals and support organizational decision-making
• Effective communication and stakeholder engagement across technical and non-technical audiences

Experience

• 8–10 years of progressive experience in data management , platform leadership , or governance roles
• Proven track record in managing enterprise data platforms and leading strategic data initiatives
• Familiarity with data management practices in government or large organizations

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Government Administration

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