data analyst (roads o&m)

application analyst

associate director - data analytics Jobs in Doha

associate director - data analytics

business analyst

case study analyst

data scientist

<div>
 At EY in MENA, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Opportunity
 
 
 
 EY Sustainability helps organizations embed sustainability into their core strategy and operations. We leverage data, technology, and analytics to drive climate resilience, resource efficiency, and long-term value creation across the energy, infrastructure, finance and government sectors.
 
 
 As part of EY Sustainability in MENA, you will join a growing team of international sustainability professionals in our Consulting practice. You will be driving the delivery and implementation of market-leading projects, consulting on key strategic issues in the region, and driving market activities.
 
 
 
 The Role
 
 
 
 We are seeking a
 
 Senior Consultant - Sustainability Data Scientist
 
 passionate about sustainability and analytics. In this role, you will design and implement AI-powered, data-driven solutions that enable clients to make informed decisions on climate risk, sustainability/ESG performance, and sustainable transformation. You will work at the intersection of data science, business strategy, and sustainability.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Engineering &amp; Management: Collect, clean, and structure large datasets from diverse sources (e.g. internal systems, external APIs, ESG databases).
 </li>
 <li>
 Advanced Analytics &amp; Modelling: Apply statistical methods, machine learning, and predictive modelling to extract actionable insights.
 </li>
 <li>
 Coding &amp; Automation: Develop robust scripts and workflows using Python, R, SQL, and other languages for data processing and analysis.
 </li>
 <li>
 Visualization &amp; Dashboarding: Build interactive dashboards and visualizations using tools (e.g. Power BI, Tableau, Plotly) to communicate insights effectively.
 </li>
 <li>
 Insight Generation: Translate complex data and AI outputs into clear recommendations for sustainability strategies, risk mitigation, and performance improvement.
 </li>
 <li>
 Collaboration: Work closely with consultants and clients to integrate analytics into transformation programs and decision-making processes.
 
 
 </li>
 </ul>
 
 Skills &amp; Attributes For Success
 
 
 
 As a
 
 Senior Consultant - Sustainability Data Scientist
 
 , you would be expected to play a key role in the delivery of technical work. It is desirable that you bring the competencies that will allow you to do this, such as:
 
 
 <ul>
 <li>
 Strong programming skills in Python (pandas, NumPy, scikit-learn), plus familiarity with R, SQL, and data visualization libraries.
 </li>
 </ul>
 <ul>
 <li>
 Experience with data architecture, ETL processes, and cloud platforms (e.g. Azure, AWS, GCP).
 </li>
 <li>
 Ability to design predictive models and interpret outputs for business impact.
 </li>
 <li>
 Excellent communication skills to present technical insights to non-technical stakeholders.
 </li>
 <li>
 Commercial awareness and ability to link analytics and AI to business value.
 </li>
 <li>
 Passion for sustainability topics.
 </li>
 <li>
 Demonstrable evidence of data science in the following would be viewed favourably:
 </li>
 <ul>
 <li>
 Utilization of physical climate models (e.g. data extraction from GCMs, RCMs, statistical downscaling).
 </li>
 <li>
 Value chain GHG emissions, decarbonisation analysis.
 </li>
 <li>
 Natural resource consumption, production and circulatory.
 </li>
 <li>
 Utilization of IFRS S1 and S2, GRI, TNFD (amongst others) frameworks.
 
 </li>
 </ul>
 </ul>
 
 Qualifications
 
 
 
 We welcome applicants from a wide range of backgrounds, but are particularly interested in individuals that have the following qualifications:
 
 
 <ul>
 <li>
 At a minimum, Degree in Data Science, Computer Science, Engineering, Statistics.
 </li>
 <li>
 Experience or qualifications in a Sustainability-related field would be highly advantageous.
 </li>
 <li>
 2&ndash;6 years of experience in data analytics or data science roles, ideally within consulting or sustainability domains.
 </li>
 <li>
 Proven track record in building dashboards, performing advanced analytics, and delivering AI-driven recommendations.
 
 
 </li>
 </ul>
 
 What Working At EY Offers
 
 
 
 We offer a competitive remuneration package where you&rsquo;ll be rewarded for your individual and team performance. Our comprehensive rewards package includes support for flexible working and career development, in addition to:
 
 
 <ul>
 <li>
 Support and coaching from some of the most engaging colleagues around.
 </li>
 <li>
 Opportunities to develop new skills and progress your career.
 </li>
 <li>
 The freedom and flexibility to handle your role in a way that is right for you.
 
 
 </li>
 </ul>
 EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
</div>

Senior Consultant - Sustainability Data Scientist - Risk Consulting - Doha

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
<ul><li>
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program</li><li>
Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategies, co-create, deploy, and reap the benefits of data-driven solutions.</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region.</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Review, direct, guide, and inspire the analytical work of junior members in the team</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency.</li><li>
Manage and grow talent within the team.</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 
Qualifications 
<ul><li>
Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required</li><li>
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering</li><li>
Experience working in one or more of the Card &amp; Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries</li><li>
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product</li><li>
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems</li><li>
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li>
Proven ability to deliver results within committed scope, timeline, and budget</li><li>
Very strong people/project management skills and experience</li><li>
Ability to travel within MENA on short notice</li></ul>
Technical Expertise<ul><li>
Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).</li><li>
Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE&rsquo;s (Jupyter Notebooks) proficiency in SAS technologies and techniques</li><li>
Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL. Working knowledge of GENAI and Agentic AI tools and algorithms</li><li>
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.</li><li>
Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial, and multinomial regression, ANOVA) Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis) Decision Tree techniques (e.g., CART, CHAID)</li></ul> 

Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

GCC Data Science Manager

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 The incumbent will support business units in designing, developing, and maintaining
 
 AI-driven applications, machine learning models, analytics solutions, and automation tools
 
 , ensuring alignment with business requirements and digital architecture.
 
 
 
 
 
 They will collaborate with stakeholders in implementing AI frameworks, improving existing AI functionality, conducting testing, optimizing performance, and ensuring secure and compliant AI solution delivery within the bank.
 
 
 
 
 
 
 Detailed Roles and Responsibilities
 
 
 
 
 
 
 
 OPERATIONAL
 
 
 <ul>
 <li>
 Collaborate with Business Intelligence, business units, and relevant stakeholders to analyze requirements and design AI‑based features and solutions.
 </li>
 <li>
 Stay updated on emerging AI/ML technologies, frameworks, and methodologies.
 </li>
 <li>
 Apply modern AI/ML frameworks to optimize solution performance, ensure model accuracy, and support innovation.
 </li>
 <li>
 Contribute to the full AI project lifecycle: data gathering, feature engineering, model building, model validation, deployment, and monitoring.
 </li>
 <li>
 Work with the Senior Specialist to plan and implement system development/enhancement projects, including scope definition and scheduling.
 </li>
 <li>
 Document business requirements, functional specifications, and technical designs.
 </li>
 <li>
 Develop scripts, programming logic, and AI components required for new solutions or enhancements.
 </li>
 <li>
 Deliver prototypes and proofs of concept based on user requirements and feasibility assessments.
 </li>
 <li>
 Conduct unit, integration, and performance testing of AI applications to ensure alignment with approved design and bank standards.
 </li>
 <li>
 Troubleshoot AI models, data pipelines, and application bugs, ensuring timely resolution.
 </li>
 <li>
 Execute system improvements and upgrades as per approved schedules.
 </li>
 <li>
 Prepare management and progress reports on AI‑related development and enhancements.
 </li>
 <li>
 Assist in feasibility assessments, data mapping, data processing, and dataset preparation for AI and machine learning initiatives.
 </li>
 <li>
 Ensure strict adherence to
 
 data privacy
 
 ,
 
 model governance
 
 , and
 
 security frameworks
 
 when handling sensitive banking data.
 </li>
 <li>
 Work with Data Operations to automate business processes using AI, ML, and scripting.
 </li>
 <li>
 Collaborate with Data Governance and Data Operations teams to ensure secure data operations and high‑quality datasets used in model training.
 </li>
 <li>
 Monitor database and AI pipeline performance, perform tuning, and implement improvements.
 </li>
 <li>
 Maintain strict confidentiality, ethics, and professional conduct.
 </li>
 <li>
 Follow the bank&rsquo;s audit, risk, compliance, and internal control frameworks.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 5&ndash;8 years of total experience in the financial services or banking industry in relevant technical roles.
 </li>
 <li>
 Prior hands‑on experience developing AI applications, ML models, or intelligent automation tools.
 </li>
 <li>
 Experience with Oracle, Python, cloud‑based ML platforms, and enterprise data management.
 </li>
 </ul>
 
 
 
 
 
 Technical Competencies
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Business requirements analysis
 </li>
 <li>
 System analysis, design, and programming
 </li>
 <li>
 Strong proficiency in AI/ML development (Python, TensorFlow, PyTorch, Scikit‑learn)
 </li>
 <li>
 Experience with cloud ML platforms (Azure ML, AWS Sagemaker, GCP Vertex)
 </li>
 <li>
 Proficiency in conversational AI tools and generative AI frameworks
 </li>
 <li>
 Knowledge of report‑building tools and BI development
 </li>
 <li>
 Knowledge of data marts, ETL processes, and database security
 </li>
 <li>
 Familiarity with front‑end tools for forms, dashboards, and app deployment
 </li>
 <li>
 Hands‑on experience with Microsoft BI tools
 </li>
 <li>
 MIS report development
 </li>
 <li>
 Understanding of software development best practices
 </li>
 <li>
 Ability to independently troubleshoot application and model issues
 </li>
 <li>
 Strong analytical and problem‑solving skills
 </li>
 </ul>
 
 
 
 
 
 Regulatory Compliance
 
 
 <ul>
 <li>
 Knowledge of banking regulatory frameworks
 </li>
 <li>
 Awareness of AI ethics, data privacy rules, and model governance guidelines
 </li>
 </ul>
 
 
 
 
 
 Certifications (Preferred)
 
 
 <ul>
 <li>
 AI, ML, Data Science, Cloud AI, or equivalent certifications
 </li>
 </ul>
 
 
 
 
 
 IMPORTANT
 
 
 
 
 Industry Knowledge
 
 
 <ul>
 <li>
 Knowledge of banking products, services, and operational flows
 </li>
 <li>
 Understanding of global/local AI market trends in financial services
 </li>
 </ul>
</div>

Technical Developer AI Application

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Business Analyst (Supply Analytics, Bangkok-based, Relocation provided)

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization.
 
 
 You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user experience.
 
 
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus.
 </li>
 <li>
 Experience in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI.
 </li>
 <li>
 Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making.
 </li>
 <li>
 Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics.
 </li>
 <li>
 Evaluate and optimize LLM-generated responses to ensure accuracy and relevance.
 </li>
 <li>
 Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures.
 </li>
 <li>
 Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc.
 </li>
 <li>
 Develop compelling data visualizations and dashboards to support storytelling and real-time insights.
 </li>
 <li>
 Ensure compliance with data governance, model explainability, and ethical AI practices, including data lineage, access control, and sensitivity labeling.
 </li>
 <li>
 Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML workflows.
 </li>
 <li>
 Excellent communication skills, with an ability to effectively interact with business stakeholders and articulate complex technical concepts in a clear and understandable manner.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 A bachelor&rsquo;s degree in computer science, Data Science, Artificial Intelligence, or a related field.
 
 
 Master&rsquo;s degree preferred, especially with a focus on AI or Machine Learning
</div>

SR. BUSINESS ANALYST (ANALYTICS)

Hamad International Airport

<div>
 
 
 
 About the role:
 
 
 
 
 Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data &amp; Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.
 
 
 
 
 
 
 
 Key responsibilities
 
 
 
 <ul>
 <li>
 Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data &amp; Al strategy (over a 3&ndash;5-year timeframe) to support the MATAR business strategy and growth plans.
 </li>
 <li>
 Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.
 </li>
 <li>
 Ensure that the Business Intelligence/Data Analytics &amp; Al platform complies with approved Data &amp; Al strategy and governance model.
 </li>
 <li>
 Collaborate with senior stakeholders to drive innovation in Data &amp; Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.
 </li>
 <li>
 Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.
 </li>
 <li>
 Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.
 </li>
 <li>
 Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.
 </li>
 <li>
 Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.
 </li>
 <li>
 Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.
 </li>
 <li>
 Collaborate with cross-functional teams to support identification and the development of data &amp; Al-based solutions and to integrate them into existing systems and processes.
 </li>
 <li>
 Plan and oversee the implementation of monitoring and reporting on the performance of data &amp; Al solutions, making recommendations for improvement as necessary.
 </li>
 <li>
 Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.
 </li>
 <li>
 Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.
 </li>
 <li>
 Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.
 </li>
 <li>
 Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.
 </li>
 <li>
 Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.
 </li>
 <li>
 Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.
 </li>
 <li>
 Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.
 </li>
 <li>
 Ensure compliance with MATAR IT Service Management (ISO 20000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).
 </li>
 <li>
 Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.
 </li>
 <li>
 Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR
 </li>
 <li>
 Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.
 </li>
 <li>
 Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.
 </li>
 <li>
 Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.
 </li>
 <li>
 Lead the development of annual and rolling budgets related to Data &amp; Al.
 </li>
 <li>
 Perform other department duties related to his/her position as directed by the Head of the Department.
 </li>
 <li>
 Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.
 </li>
 <li>
 To build and lead a skilled and talented team for providing Data &amp; Al capabilities to MATAR in line with corporate objectives and values.
 </li>
 </ul>
 
 
 
 About you:
 
 
 
 <ul>
 <li>
 Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.
 </li>
 <li>
 Experience in data management, performing data analytics &amp; developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.
 </li>
 <li>
 Solid understanding of enterprise data analytics, data science &amp; Al.
 </li>
 <li>
 Good understanding of Data Governance best practices.
 </li>
 <li>
 Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.
 </li>
 <li>
 Experience with deep learning frameworks such as Keras and Tensorflow.
 </li>
 <li>
 Good understanding of Software Development Life Cycle and Software Quality Assurance processes.
 </li>
 <li>
 Systems Implementation or Development leadership.
 </li>
 <li>
 Project management certification or demonstrable experience.
 </li>
 <li>
 Relationship Management.
 </li>
 </ul>
 
 
</div>

Senior Manager – Data & AI

Uniqus Consultech Inc.

<div>
 
 We at Uniqus Consultech are hiring for Data &amp; Analytics role.
 
 
 
 
 
 
 Location
 
 - Doha
 
 
 
 
 
 
 Level
 
 - Associate Director
 
 
 
 
 
 
 About Uniqus
 
 
 
 
 
 
 Uniqus is a tech-enabled global platform that offers ESG and Accounting &amp; Reporting Consulting by leveraging high-performing global talent.
 
 
 We exclusively focus on two businesses. Our investments are accordingly fully allocated to these areas. This gives us the ability to be at the cutting edge of developments in the ESG &amp; ARC space and recognize talent in this space.
 
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 Uniqus is seeking senior professionals in Data &amp; Analytics to join Uniqus&rsquo; Technology Consulting team. You will play a crucial role as a Solution Architect/SME and work with a team of highly skilled technical professionals at offshore to drive the development and delivery of Data and Analytics solutions. Your primary technical responsibility will be to oversee the design, implementation, and maintenance of data analytics systems, ensuring they meet the timelines, cost and service quality of implementation.
 
 
 The candidate must be experienced in implementing (on-premise/Cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in Microsoft stack &ndash; Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support our data-driven initiatives.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 Data Warehousing:
 
 
 
 <ul>
 <li>
 Develop and maintain data warehouses that consolidate data from multiple sources.
 </li>
 <li>
 Optimize data storage and retrieval processes to enhance performance and scalability.
 </li>
 <li>
 Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
 </li>
 </ul>
 
 
 
 
 
 
 Data Integration:
 
 
 
 <ul>
 <li>
 Integrate disparate data sources, including databases, APIs, and third-party services.
 </li>
 <li>
 Design and develop data pipelines to automate data collection and integration.
 </li>
 <li>
 Monitor and troubleshoot data integration workflows to ensure reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 Visualization &amp; Reporting
 
 :
 
 
 <ul>
 <li>
 Utilize visualization tools such as Tableau, Power BI, or Looker to create dashboards and reports.
 </li>
 <li>
 Translate complex data sets into clear and actionable insights for stakeholders.
 </li>
 <li>
 Collaborate with business units to understand data visualization needs and deliver solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions.
 </li>
 <li>
 Document processes, data flows, and technical specifications for reference and training.
 </li>
 <li>
 Communicate project status, progress, and issues to management and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field
 </li>
 <li>
 Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Experience in using visualization tools like Tableau, Power BI, or Looker.
 </li>
 <li>
 Preferred knowledge of machine learning and AI
 </li>
 </ol>
 
 
 
 
 
 Experience:
 
 
 <ol>
 <li>
 Experience in cloud data management, data warehousing, and data integration in Microsoft data and analytics stack
 </li>
 <li>
 
 Should be currently working with a Big 4
 
 </li>
 <li>
 Should have experience in
 
 Business Development and Go to Market.
 
 </li>
 </ol>
 
 
 
 
 
 Technical Skills:
 
 
 <ol>
 <li>
 Proficiency in SQL and experience with database management systems.
 </li>
 <li>
 Strong knowledge of ETL processes and data pipeline development.
 </li>
 <li>
 Familiarity with programming languages such as Python, Java, or Scala.
 </li>
 <li>
 Understanding of data modelling, data architecture, and data governance principles.
 </li>
 <li>
 Should have
 
 Go to Market experience.
 
 </li>
 </ol>
 
 
</div>

Associate Director - Data Analytics

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