49 Data Governance Officer jobs in Dubai

The ideal candidate will have experience in statistical and data mining techniques, as well as knowledge of machine learning tools and statistical techniques.

Responsibilities:

• Work closely with the team to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues or customers
• Use machine learning tools and statistical techniques to produce solutions to problems
• Test data mining models to select the most appropriate ones for use on a project
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Create clear reports that tell compelling stories about how customers work with the business
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Conduct research from which you'll develop prototypes and proof of concepts

Required Skills and Qualifications:

• Experience and knowledge in statistical and data mining techniques using (e.g., Python, R, SQL)
• Experience and knowledge in applying advanced Machine Learning techniques (e.g., Neural networks, supervised and unsupervised ML, computer vision and image processing, text analysis)
• Experience and knowledge in big data analysis and management and distributed computing tools (e.g., Hadoop, Hive, Spark)
• Experience and knowledge in one or more programming languages (C, C#, Java)
• Experience and knowledge in web development frameworks (javascript, React, node.js)
• Experience analyzing data from 3rd party providers: (e.g., Google Analytics, Site Catalyst, Facebook Insights)
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Willingness to learn new technology
• Able to work independently on researching solutions and applying findings

Overview

We are looking for a highly analytical and business-minded Business Analyst with 2-3 years of experience, ideally with a background in market research and operational analysis. In this role, you will partner closely with cross-functional teams to turn complex data into actionable business insights that drive decision-making, operational efficiency, and strategic growth.

• Analyze internal and external data to identify trends, assess performance, and support business strategy;
• Conduct in-depth market research and competitive analysis to inform product and growth decisions;
• Translate data insights into clear, actionable recommendations that support execution across product, marketing, and operations;
• Build and maintain dashboards, business reports, and performance metrics to monitor KPIs and key initiatives;
• Collaborate with cross-functional teams to define data requirements and support business planning;
• Participate in forecasting, scenario modeling, and business case development;
• Provide ad hoc insights and data support for strategic and operational projects;

• Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field;
• 2-3 years of experience in data analytics or business analysis, with strong exposure to market research;
• Proficient in SQL and at least one analytical tool (e.g., Python, R, Excel);
• Experienced with BI platforms such as Tableau, Power BI, or Looker;
• Strong business acumen and ability to connect data findings to real-world decisions and outcomes;
• Excellent communication skills with the ability to influence stakeholders across departments;

• Experience in a crypto exchange, fintech, or fast-growing tech company;
• Familiarity with user behavior data, growth metrics, and financial KPIs;
• Understanding of web or mobile analytics platforms (e.g., Google Analytics, Mixpanel);

Overview

Digital Strategy and Data consultant will collaborate with multiple business and IT stakeholders within the target enterprise. Digital strategy and Data consultants are expected to create very good relationships with the client in order to ensure building trust to deliver continuous potential business value propositions. The consultant will lead the process to identify and evaluate digital asset capabilities and strengths and develop digital business strategies and roadmap.

• Bachelor’s degree in business, IT or any related field
• 7+ years of experience in global consulting firm with a focus on digital transformation, Data Strategy, performance improvement
• Strong analytical and problem-solving skill with high commitment to quality client service
• Excellent communication and interpersonal skills with the capacity to motivate and lead a team with enthusiasm, drive and effectiveness

Do you believe you have the qualifications we’re looking for? please send us your review and our recruitment team will contact you with the next steps

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Digital Strategy and Data consultant will collaborate with multiple business and IT stakeholders within the target enterprise. Digital strategy and Data consultants are expected to create very good relationships with the client in order to ensure building trust to deliver continuous potential business value propositions. The consultant will lead the process to identify and evaluate digital asset capabilities and strengths and develop digital business strategies and roadmap.

• Bachelor's degree in business, IT or any related field
• 7+ years of experience in global consulting firm with a focus on digital transformation, Data Strategy, performance improvement
• Strong analytical and problem-solving skill with high commitment to quality client service
• Excellent communication and interpersonal skills with the capacity to motivate and lead a team with enthusiasm, drive and effectiveness

Do you believe you have the qualifications we're looking for? please send us your review and our recruitment team will contact you with the next steps

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A major player in the UAE is looking to set up a brand-new Data Governance function.

• Develop and execute a comprehensive strategy for establishing a data governance function within the organisation.
• Define the data governance vision, mission, and core principles, aligning them with business goals and regulatory requirements.
• Implement a data governance framework that facilitates self-service data access while ensuring data integrity and responsible use.
• Develop and execute a robust communication strategy to educate stakeholders across the organisation on data governance principles and best practices.
• Foster a collaborative data-centric culture where business units understand the value of data governance and actively participate in data stewardship.
• Work with business leaders to identify and prioritise data initiatives that align with strategic objectives.

• Bachelor's degree in business administration, Information Technology, or a related field with minimum 8 years of experience in data governance and strategy.
• Proven track record of successfully establishing and leading data governance programs in large-scale organisations.
• Excellent communication, collaboration, and stakeholder management skills.
• The ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
• A strategic mindset with a focus on business outcomes and data-driven decision making.

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai UAE

Job Level: Manager

Job Type: Fulltime (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups providing a full suite of creative data technology and media services to its global clients in 145 countries. We empower the worlds leading brands to create better creative and customer experiences with a focus on digital and creative transformation. We are champions for innovative marketing success across a diverse portfolio of fortune 100 companies, leading organisations and clients across key iconic brands advertising globally to maximise the value of our customer portfolios to drive hyperpersonalised marketing and creative strategies. Our combined strengths in creative excellence, customer digital transformation, media and enterprise marketing technology drives our competitive advantage. This includes a wide range of services to clients across media advertising, creative PR, television format production, sports stadium advertising, talent and influencer engagement, app and website development, game development, programmatic advertising, IT consultancy and data products analytics and insight. You can learn more about us here: role:

Role: Data and Analytics Strategy Manager is the lead to the agencys data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to drive business growth and improve decision-making processes across the organization.

• Build strong relations and collaborate with operational, product, business performance, data science, and data visualization leads.
• Build analysis and correlation derived from different data sources (i.e. research, sales analytics, media metrics, etc.).
• Produce insights, derive analysis, and produce point of view on data output.
• Collaborate with business leads to build data and analytics solutions for agency accounts (through Google Analytics, Data Visualization, etc.).
• Reports into Performance director as function to drive performance and business intelligence for clients.
• Develop and execute the overall data and analytics strategy aligned with the companys goals and objectives.
• Establish and enforce data governance policies to ensure data quality, consistency, and security.
• Lead a team of data analysts and data scientists to deliver actionable insights and recommendations.
• Work closely with business leaders, IT and other stakeholders to understand data needs and deliver solutions that meet those needs.
• Design measurement frameworks based on different goals and KPIs to measure the success of data initiatives and their impact on the business.
• Evaluate and implement the latest data technologies and tools to enhance data collection, storage and analysis capabilities.
• Coordinate with data science team and operational excellence lead to develop and maintain dashboards and reports to provide regular updates on data analytics initiatives and business performance.
• Stay abreast of industry trends and best practices to continuously improve the companys data strategy and analytics processes through collaboration with tech and measurement partners like Google, Meta, Tableau, Salesforce, etc.

• AI & Machine Learning : Design and deployment of advanced analytics and ML models (e.g. fraud detection, recommender systems, segmentation).
• Marketing & Customer Analytics : Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling and ROI optimization.
• Causal Inference & Statistical Modeling : Specialized in impact analysis and marketing event evaluation.

• Team Leadership : Manages a team of data scientists and cross-functional teams including data engineers and BI analysts.
• Stakeholder Management : Extensive experience engaging with CXOs and business heads.
• Program & Project Management : Leads end-to-end data science delivery across industries and regions.

• Languages : Python, R, SQL, PySpark, Scala
• ML Frameworks : TensorFlow, Keras, XGBoost, SVM, GBM
• Platforms & Tools : AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS

• Retail, Finance, CPG, Automotive, Technology is highly preferable.

• Competitive financial package.
• Annual bonus (based on company profitability and employee performance).
• Annual economy return tickets to home country for self and family (spouse and children if applicable).

• Flexible hybrid model and working schedule.
• Private personal and family healthcare.
• 3 wellness days to boost your energy and recharge yourself.

• Highly diverse, multicultural & collaborative team spirit
• Regular team socials throughout the year
• Friendly, approachable office atmosphere and business-casual dress code

• Dentsu University internal online portal access to ongoing online training and development opportunities to enhance your skills and advance your career.
• Internal mobility opportunities and regional exposure across MENA

Dentsu International is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future every day for our employees, global clients, partners and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are interested in every individual bringing their whole self to work and this includes you

Please apply online and your application will be reviewed against our requirements. If your profile matches our business requirements our recruiters will make sure to get in touch with you soon. Should you not meet our immediate requirements your profile will be registered in our talent pool system and we will match your profile to suitable future vacancies.

Dubai

Dentsu

Full time

Permanent

Required Experience:

Manager

Dubai, United Arab Emirates | Posted on 08/05/2025

Position Title: Head of Data / AI Strategy & Governance Location: Dubai, UAE Job Type: Full-Time

About myZoi myZoi is a Standard Chartered Ventures fintech that ischanging lives for the better, for those who deserve it the most. We arecommitted to promoting global financial inclusion by offering affordable,accessible, and transparent financial services to the underbankedpopulations.

Our vision

To deliver a level playing field for the unbanked andunderbanked in accessing essential financial services through innovative,data-driven solutions that foster financial inclusion in an affordable,convenient, and transparent fashion.

The Role We are seeking atransformative Head of Data & AI Strategy - an enterprise-wide leaderresponsible for defining the strategic data and AI vision for myZoi. This rolewill play a pivotal role Win establishing an AI-enabled data ecosystem,ensuring governance, integrity, and actionable insights are embedded across allfunctions of the business.

You will be entrusted to craft and lead adata-driven culture, accelerate enterprise-wide AI adoption, and ensureresponsible governance by designing scalable data architecture, leading datagovernance initiatives, overseeing ethical and responsible AI integration,driving data literacy, and unlocking data value to power strategicdecision-making, innovation, and regulatory compliance.

KeyResponsibilities

Strategic Leadership & Enterp rise transformation

• Define and implement the overall enterprise data andAI strategy aligned with global growth, innovation, and operational excellencegoals.
  
• Act as a strategic partner to the executive leadershipteam, influencing business decisions and company direction through datainsights.
  
• Lead enterprise data monetization initiatives,developing new revenue streams leveraging AI and data products.
  
• Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
  
• Drive a data and AI-enabled transformation across allfunctions, fostering a strong data culture and change adoption at all levels ofthe organization.
  
• Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
  
• Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
  
• Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
  

DataStrategy & Architecture

• Develop and maintain the enterprise data strategy,shaping and scaling its impact as a core enabler of business innovation andintelligence .
  
• Collaborate with the leadership team to aligndata and AI strategy with organizational priorities.
  
• Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
  
• Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
  
• Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
  
• Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
  

Data Use & AI Enablement

• Work with all functions (like product, innovation,marketing, engineering, operations, etc.)toidentify opportunities for data driven AI/ML applications across theorganization.
  
• Drive integration of machine learning and intelligentautomation to enhance decision-making and customer experiences.
  
• Promote data and AI literacy across theorganization through training, tools, and awareness campaigns.
  
• Monitor emerging AI trends and appropriate tools toensure myZoi remains on the leading edge of innovation.
  

Data& AI Governance

• Develop and implement data governanceframeworks, including data ownership, stewardship, classification, and datalifecycle management.
  
• Work with Innovation, Technology, Risk &Compliance on Data & AI governance, including model transparency, biasmitigation, and ethical use standards.
  
• Define and implement data/AI standards,policies, and framework across the organization.
  
• Ensure high levels of data quality, accuracy, andcompliance with regulatory requirements (e.g., GDPR, BCBS239, AI, and otherlocal regulations).
  

Risk,Security, and Compliance

• Ensure data and AI security, privacy, and riskcontrols are effectively designed and implemented in alignment with risk, legaland regulatory frameworks.
  
• Def ineaccess control and security frameworks for data assets
  
• Engage with senior leadership, regulators, andindustry bodies on data and AI governance matters.
  

Qualifications& Experience

• 15+ years of progressive experience in dataarchitecture, AI/ML, enterprise data strategy and governance, preferably withinfintech, financial services, or highly regulated industries.
  
• Proven record of accomplishment in designing,scaling, and managing enterprise-wide data and AI initiatives in cloud and hybrid environments (preferablyleveraging AWS tech stack).
  
• Strong knowledge of data governance tools, AI modellifecycle, metadata management, MDM, and data quality practices.
  
• Demonstrated ability to work across businessand technology domains, Deep expertise in cloud data platforms (AWSpreferred), data governance tools, ethical AI, and compliance frameworks.
  
• Strong leadership skills with experience managingdiverse, cross-functional teams and drivingcollaboration and results.
  

Skills& Personal Attributes

• Strategic thinker with deep technical expertise indata and AI,
  
• Capable of translating business vision into actionablestrategies.
  
• Inspirational leader who champions innovation,collaboration, and organi z ationaltransformation.
  
• Excellent communicator with stakeholder engagement andchange management skills.
  
• Focused on driving measurable outcomes and creatingstrategic value from data and AI investments.
  
• Strong analytical mindset, attention todetail, and commitment to data integrity and responsible AI use.
  
• Collaborative and proactive problem-solverwith a passion for enabling innovation through data and AI.
  

At myZoi we strive to create a both a productand a team that embraces equality, inclusion, diversity and freedom. We wantpeople who can be themselves and bring their own brand of value to the team.Come and join us!

We are seeking an experienced Data Governance and Compliance expert to lead our data privacy initiatives. The ideal candidate will have a strong understanding of regulatory compliance and risk mitigation strategies.

This is a mid-senior level role based in Dubai, United Arab Emirates. The successful candidate will be responsible for developing and implementing data privacy controls, ensuring regulatory compliance with laws such as GDPR and CCPA.

1. Develop and implement data privacy frameworks
2. Conduct data privacy impact assessments
3. Maintain data governance workflows
4. Collaborate with stakeholders to ensure data quality

• Bachelor's degree in Computer Science or related field
• 8+ years experience in data privacy and governance
• Hands-on experience with data governance tools
• Strong understanding of regulatory compliance

This is a unique opportunity to join a team that prioritizes data governance and compliance. The successful candidate will be responsible for leading data privacy initiatives and ensuring regulatory compliance.

Job Overview:

We are seeking a seasoned Master Data professional to lead the way in managing our organization's master data. The ideal candidate will possess expertise in SAP ERP, Master Data Management, and Data Governance.

About the Role:

The successful candidate will be accountable for item creation, prices, and assortment data accuracy. They will also support the Master Data Management strategy to ensure data standardization, quality, governance, and provide a single source of truth for the domains.

Main Responsibilities:

1. Monitor and analyze master data, key data, and master relationship data within the organization for both Materials and Pricing.
2. Sustain smooth master data integration operations and act as a control gate to ensure supporting documents, level of approval, and system tools comply with company standards.
3. Resolves data quality problems through error detection and correction, process control and improvement, or process design strategies collaborating with subject matter experts (SMEs) and data stewards.
4. Perform regular business-related activities e.g., data quality review, data clean up, system user profile maintenance, dashboard reporting.
5. Work closely with the business/IT to ensure alignment of master data rules and the operation of the application meets all requirements.
6. Support internal audit process through required documentation and analysis as required.
7. Develop a risk-based testing approach by understanding how to translate business requirements into data design to ensure a compliant, efficient, and effective system.
8. Improves, standardizes, and automates reporting of performance metrics with key data insights, allowing the business to make informed data-driven decisions.

Requirements:

• Minimum 6+ years experience in Master Data Management (MDM), Data Governance, and Data Quality domains and MDM tools.
• Strong SAP skills, Looker and/or other BI reporting tools.
• Advanced Excel is a must, along with being comfortable with large data.
• Education: Engineering or Business Master's degree.
• Previous experience in Retail or FMCG companies; Cosmetic market knowledge is a plus.
• Excellent written and verbal communication skills in English.
• Team spirit, agility, adaptability, and tolerance to pressure.
• Very good interpersonal skills with excellent customer service and can-do mentality.
• Ability to provide on-call support in case of emergent issues.
• Process orientation and user satisfaction attitude.
• Exhibits critical thinking/problem-solving skills and the ability to think outside the box.
• Analytically minded and methodical problem solver Excellent analytical/organizational/communication skills.
• Ability to multitask and execute plans/deadlines in a dynamic environment.

What We Offer:

A culture of empowerment, learning & growth that offers you the tools, space and opportunity to learn, innovate and lead. Our community values authenticity and diversity, where everyone can be themselves and contribute to something beautiful.