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senior data scientist

Codvo.ai

<div><div><div>Data Scientist Consultant (Category &ndash; Senior Engineer)
Sector: Oil and Gas
Department: Digital Transformation
Reporting To: Head of Digital Intelligence
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Job Description
The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.
Key Responsibilities<ul><li>Identify and support analytics and AI use cases aligned with business and conceptualization priorities.</li><li>Engage stakeholders to gather requirements and translate business needs into analytical problem statements.</li><li>Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.</li><li>Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.</li><li>Design dashboards and performance reporting frameworks to support decision-making.</li><li>Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.</li><li>Collaborate with data engineers and product teams to deploy scalable analytics solutions.</li><li>Present insights and recommendations to both technical teams and business leadership.</li></ul>
Required Skills and Qualifications<ul><li>+6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.</li><li>Strong proficiency in Python, SQL, and Power BI or similar visualization tools.</li><li>Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).</li><li>Strong analytical thinking and structured problem-solving skills.</li><li>Experience in requirements gathering, stakeholder engagement, and business case development.</li><li>Ability to communicate complex analytical findings in clear business terms.</li></ul>
Preferred Qualifications<ul><li>Experience in Oil &amp; Gas, energy, or industrial analytics environments.</li><li>Familiarity with enterprise data platforms such as Azure or Databricks.</li><li>Knowledge of Agile delivery frameworks.</li><li>Certification in Data Analytics, Business Analysis, or Data Science preferred.</li></ul> 
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered</div></div></div>

Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar

YO IT CONSULTING

<div>Role: Manager / Senior Manager &ndash; Data &amp; AI Consulting
Location: Doha, Qatar 
Experience: 8 to 12 Years 
Annual Compensation: QAR 276000 to 360000, USD 75,000 to USD 99,000
Mandatory Skills: Data Governance, Data Engineering, AI/ML Engineering, Azure.
<div>Required Qualifications: 
<ul><li>Candidate must be bilingual (Arabic &amp; English).</li><li>At least 5+ years' experience in Data/AI consulting, architecture, or strategy roles.</li><li>Strong experience in the Azure ecosystem (Azure Data Factory, Synapse, Purview, Databricks).</li><li>Exposure to industries like Public Sector, BFSI, Oil &amp; Gas, Government, Healthcare, Utilities.</li></ul></div>
About the Role: We are looking for an experienced Senior Data &amp; AI Consultant (8+ years) with strong expertise across the Data &amp; AI lifecycle&mdash;data strategy, architecture, engineering, governance, and AI/ML. The ideal candidate must be bilingual (Arabic &amp; English) and comfortable working in a client-facing consulting environment across multiple industries.
<div>Key Responsibilities: 
1. Data Strategy &amp; Advisory- 
<ul><li>Develop enterprise-wide Data &amp; AI strategies and transformation roadmaps.</li><li>Assess data maturity and recommend improvements.</li><li>Conduct CXO-level workshops to align business goals with Data &amp; AI initiatives.</li><li>Guide clients on responsible AI practices.</li></ul></div>
 <div>2. Data Architecture &amp; Engineering: 
<ul><li>Design scalable data platforms on Microsoft Azure.</li><li>Develop data models and architect batch/real-time pipelines using ADF, Synapse, Databricks, etc.</li><li>Implement data quality, metadata, and lineage solutions (Azure Purview).</li><li>Partner with AI teams to ensure data readiness for ML/AI use cases.</li></ul></div>
<div>3. AI &amp; Advanced Analytics: 
<ul><li>Lead end-to-end AI/ML solution development on Azure ML, OpenAI, Cognitive Services.</li><li>Build ML &amp; Generative AI use cases and implement MLOps (CI/CD, monitoring).</li><li>Ensure Responsible AI (fairness, explainability, governance).</li><li>Collaborate on full AI pipeline&mdash;from data sourcing to deployment.</li></ul></div>
<div>4. Consulting, Pre-Sales &amp; Leadership: 
<ul><li>Lead client workshops, PoCs, demos, and pre-sales engagements.</li><li>Support proposal writing and solution design.</li><li>Contribute to thought leadership (blogs, whitepapers, events).</li><li>Mentor junior consultants and support delivery excellence.</li></ul></div>
Technical Expertise (Any one or more areas):
<div>A. Data Management: 
<ul><li>Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs.</li><li>Strong SQL, Python, Spark.</li><li>Data modeling, ETL/ELT, data quality frameworks.</li><li>Knowledge of MS Fabric or open-source tools (Airflow, Kafka).</li></ul></div>
<div>B. Data Governance &amp; Strategy: 
<ul><li>Familiarity with DAMA-DMBOK, CMMI-DMM.</li><li>Experience with Informatica (Axon, IDQ, EDC, IDMC).</li><li>Understanding of data privacy, governance operating models, stewardship.</li></ul></div>
<div>C. AI/ML Engineering: 
<ul><li>Python, TensorFlow, PyTorch, Scikit-learn, Azure ML.</li><li>Experience with Generative AI (LLMs, RAG, prompt engineering).</li><li>Knowledge in at least 3 areas: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.</li><li>Practical experience in MLOps.</li></ul></div></div>

Manager / Senior Manager – Data & AI Consulting

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
 </li>
 <li>
 This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
 </li>
 <li>
 The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
 </li>
 <li>
 Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
 </li>
 <li>
 The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 ML Model Development
 </li>
 <li>
 Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
 </li>
 <li>
 Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
 </li>
 <li>
 Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
 </li>
 <li>
 Banking Domain Application
 </li>
 <li>
 Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
 </li>
 <li>
 Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
 </li>
 <li>
 Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
 </li>
 <li>
 Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
 </li>
 <li>
 Translate model outputs into actionable business recommendations and insights.
 </li>
 <li>
 Develop model performance metrics aligned with business KPIs and financial outcomes.
 </li>
 <li>
 Create data visualizations and reports for stakeholder communication.
 </li>
 <li>
 Prototyping &amp; Delivery
 </li>
 <li>
 Develop working prototypes in Python demonstrating model functionality and business value.
 </li>
 <li>
 Create clear documentation of model methodology, assumptions, limitations, and use cases.
 </li>
 <li>
 Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Partner with business stakeholders to understand requirements and validate model outputs.
 </li>
 <li>
 Present model results, methodology, and recommendations to senior management.
 </li>
 <li>
 Contribute to model governance, validation, and documentation requirements.
 </li>
 <li>
 Ensure compliance with data policies, ethical standards, and regulatory requirements.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Machine Learning &amp; Statistics
 </li>
 <li>
 Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
 </li>
 <li>
 Deep experience with pricing models, propensity modeling, and recommendation systems.
 </li>
 <li>
 Strong foundation in statistical analysis, hypothesis testing, and experimental design.
 </li>
 <li>
 Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
 </li>
 <li>
 Banking Domain Expertise
 </li>
 <li>
 Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
 </li>
 <li>
 Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
 </li>
 <li>
 Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
 </li>
 <li>
 Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Experience with data visualization and reporting tools.
 </li>
 <li>
 Familiarity with Git (GitHub/GitLab) for version control.
 </li>
 <li>
 Basic understanding of Spark for large-scale data processing.
 </li>
 <li>
 Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
 </li>
 <li>
 Communication &amp; Collaboration
 </li>
 <li>
 Ability to translate complex analytical concepts into business language for non-technical stakeholders.
 </li>
 <li>
 Strong presentation skills for executive-level communication.
 </li>
 <li>
 Experience working with cross-functional teams across business and technology.
 </li>
 <li>
 Agile methodologies (Kanban, Scrum) experience.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
 </li>
 <li>
 8+ years of experience in data science or quantitative analysis roles.
 </li>
 <li>
 Minimum 5 years of experience in banking or financial services industry is mandatory.
 </li>
 <li>
 Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
 </li>
 <li>
 Background in Risk, Finance, or quantitative functions within banking preferred.
 </li>
 <li>
 Experience with model validation, governance, and regulatory requirements in financial services.
 </li>
 <li>
 Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior Data Science Expert

McKinsey & Company

<div><div><div>Job ID: 96786
<div><div><li>Doha</li><li>Riyadh</li></div></div><div> 
</div></div><div> 
 
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div>YOUR IMPACT
<div>As a Senior Software Engineer with McKinsey Tech &amp; AI, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
Changing the world requires us to sit with our clients at times, so some travel is expected in this role.</div>
</div></div><div><div>YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div>YOUR QUALIFICATIONS AND SKILLS
<div><div><div><ul><li>Undergraduate or master&rsquo;s degree; or equivalent experience</li><li>
7+ years of experience in software development, with significant full-stack web application development experience strongly preferred</li><li>
Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis</li><li>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</li><li>
Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness</li></ul></div></div></div></div></div></div></div>

Senior Software Engineer - Tech & AI at McKinsey

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We look for experienced engineer for position of dedicated DE for ML team. Main responsibilities will include creating end extending existing feature marts and realtime marts, including investigation of feature drift and performance optimizations. What we also consider as important is having enough skills to take responsibility for full ML-DE interaction, including new pipelines creation in existing DE infrastructure. Main tools used for feature engineering are Dbt, BigQuery, Databricks and Spark structured streaming, having AWS streaming services and infrastructure as a code for DE part. Our workflow emphasizes adaptability, collaboration, with a focus on driving changes in company wide metrics - and you`ll be able to see the impact of your work on the business and customer experience.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Feature engineering - support and creating feature marts for ML team, including tests and validation
 </li>
 <li>
 Realtime Feature engineering - creating realtime pipelines, extending realtime feature store with new features
 </li>
 <li>
 Integrating new sources into existing data pipelines for ML needs, ensuring data quality and consistency
 </li>
 <li>
 Monitor and automate ML pipelines processes, including data drift, pipelines performance, alerting
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Experience in several programming languages or Python frameworks
 </li>
 <li>
 PySpark knowledge i.e. Spark structured streaming, data distribution, optimizations
 </li>
 <li>
 Strong SQL skills, ability to apply subqueries, window functions, CTEs, math specific database functions
 </li>
 <li>
 Experience with modern ETL processes, collection, ingestion, storage, cleaning, transformation, analysis of data
 </li>
 <li>
 Software design skills - software patterns, application, data system design
 </li>
 <li>
 Math statistics knowhelege, i.e. stdev, quartiles, ability to apply them for drift or outlier detection
 </li>
 <li>
 Infrastructure as a code is a plus
 </li>
 <li>
 Experience with databricks as a plus
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 <ul>
 <li>
 GCP platform
 </li>
 <li>
 BigQuery
 </li>
 <li>
 Dbt
 </li>
 <li>
 Databricks
 </li>
 <li>
 Spark structured streaming
 </li>
 <li>
 AWS message brokers
 </li>
 <li>
 Tableau, Redash
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a tech team where your code sparks change, your voice is heard, and your growth is guaranteed. Let&rsquo;s make some tech magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

ML Data Engineer Senior

Fusion Outsourcing & Services

<div>
 
 
 Exciting IT Specialist Opportunities in Qatar!
 
 
 
 
 
 
 Are you an experienced IT professional looking for your next big career move? We are hiring for multiple IT Specialist roles based in Doha.
 
 
 
 
 
 We are seeking talented individuals to join a dynamic team and contribute to the technology sector:
 
 
 
 
 
 
 - IT Security Specialist: (5+ Years)
 
 
 
 ✔ Bachelor&rsquo;s degree in IT or related field.
 
 
 ✔ Next Gen Firewalls (Cisco FTD, Fortigate), IPS, VPN.
 
 
 ✔ Bluecoat Proxy, TrendMicro AV, DLP.
 
 
 ✔ LAN/WAN Security, TCP/IP, HTTP Protocol.
 
 
 
 
 
 
 - Senior Application Support Specialist: (10+ Years)
 
 
 
 ✔ Bachelor&rsquo;s in IT or relevant.
 
 
 ✔ MS Dynamics 365, IBM Maximo, Oracle EBS/Fusion, ARM.
 
 
 ✔ Azure, .NET, SQL Server, SharePoint.
 
 
 ✔ Primavera P6, Unifier, OCI, Oracle DB.
 
 
 ✔ L1/L2 Support, UAT, Requirements Documentation.
 
 
 
 
 
 
 - Senior Application Support Expert: (12+ Years)
 
 
 
 ✔ Strong exposure to enterprise systems &amp; Oracle/Microsoft tech stack.
 
 
 ✔ Advanced L1/L2 support, UAT, business requirements handling.
 
 
 
 
 
 
 - IT Project Manager: (5+ Years)
 
 
 
 ✔ Bachelor&rsquo;s in IT or relevant.
 
 
 ✔ PMP / PRINCE 2 preferred.
 
 
 ✔ Project planning, risk management, stakeholder communication.
 
 
 ✔ Agile &amp; Waterfall methodologies.
 
 
 
 
 
 
 - Senior IT Project Manager: (10+ Years)
 
 
 
 ✔ PMP / PRINCE 2 preferred.
 
 
 ✔ Large-scale IT delivery &amp; programme management.
 
 
 ✔ Governance, portfolio &amp; vendor management.
 
 
 
 
 
 
 - Application Analyst: (5+ Years)
 
 
 
 ✔ Requirements gathering &amp; business process analysis.
 
 
 ✔ System configuration, testing &amp; user support.
 
 
 
 
 
 
 - Senior Application Administrator: (12+ Years)
 
 
 
 ✔ Enterprise-level application administration.
 
 
 ✔ System optimization &amp; performance tuning.
 
 
 ✔ Database administration &amp; integration management.
 
 
 
 
 
 
 - Senior Application Analyst: (12+ Years)
 
 
 
 ✔ Enterprise solution design.
 
 
 ✔ Complex requirements management.
 
 
 ✔ Business intelligence expertise.
 
 
 
 
 
 
 - Senior Infrastructure Specialist: (12+ Years)
 
 
 
 ✔ VMware (NSX/SRM/HCX), HCI.
 
 
 ✔ Windows, AD, Exchange, O365.
 
 
 ✔ Azure &amp; GCP.
 
 
 ✔ Enterprise storage, backup &amp; disaster recovery.
 
 
 ✔ Data centre operations.
 
 
 
 
 
 
 - Enterprise Architect: (12+ Years)
 
 
 
 ✔ TOGAF preferred, Big 4 experience preferred.
 
 
 ✔ EA frameworks (TOGAF/Zachman).
 
 
 ✔ IT strategy, governance &amp; technology roadmaps.
 
 
 ✔ Business capability mapping &amp; solution architecture.
 
 
 
 
 
 
 - Senior IoT Expert: (12+ Years)
 
 
 
 ✔ Azure IoT Hub, Event Hub, Stream Analytics.
 
 
 ✔ Angular/React, C#/NodeJS.
 
 
 ✔ DevOps, microservices.
 
 
 ✔ Smart city / construction IoT experience preferred.
 
 
 
 
 
 
 - Senior Cloud Expert: (12+ Years)
 
 
 
 ✔ Azure / AWS / GCP.
 
 
 ✔ IaaS / PaaS / SaaS.
 
 
 ✔ Docker, Kubernetes.
 
 
 ✔ Multi-cloud &amp; cloud transformation strategy.
 
 
 ✔ CloudOps / DevOps.
 
 
 
 
 
 
 - Senior Information Management Expert: (12+ Years)
 
 
 
 ✔ Data Governance &amp; Enterprise Data Strategy.
 
 
 ✔ MDM &amp; Data Quality Management.
 
 
 ✔ OBIEE, Oracle Analytics Cloud, IBM Watson.
 
 
 ✔ AI/ML, R, Python.
 
 
 ✔ Hadoop, Spark, Kafka, Blockchain.
 
 
 
 
 
 If you have the skills and experience for any of these positions and are ready for a new challenge, we&rsquo;d love to connect with you. Please share your updated CV to explore these opportunities further.
 
</div>

Information Technology Services Specialist

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 The Senior AI Product Owner - is responsible for driving the successful delivery of Data &amp; AI products across assigned business domains, primarily Retail or Wholesale Banking.
 </li>
 <li>
 The role serves as a single point of accountability for product vision, prioritization, and execution, ensuring alignment between business objectives and Data &amp; AI Lab delivery teams.
 </li>
 <li>
 The position bridges business and technology by translating strategic priorities into scalable, high-impact data and AI solutions, while ensuring value realization, governance, and delivery excellence across the product portfolio.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 Product Strategy &amp; Vision
 </li>
 <li>
 Define and maintain the product vision and roadmap for assigned data and AI products within the business domain.
 </li>
 <li>
 Partner with domain heads and senior stakeholders to identify new opportunities for data-driven value creation.
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Act as the primary liaison between Data Lab and business units (Retail / Wholesale Banking), ensuring transparency, alignment, and shared accountability for outcomes.
 </li>
 <li>
 Manage stakeholder expectations, prioritize requests, and facilitate trade-off discussions.
 </li>
 <li>
 Communicate progress, risks, and dependencies to senior management and steering committees.
 </li>
 <li>
 Delivery Ownership
 </li>
 <li>
 Own and manage the product backlog across multiple teams (DE, DS, MLE, BI).
 </li>
 <li>
 Define epics, user stories, and acceptance criteria in collaboration with technical leads and architects.
 </li>
 <li>
 Ensure high-quality and timely delivery of data products, dashboards, ML models, and AI-driven capabilities.
 </li>
 <li>
 Lead sprint planning, retrospectives, and continuous improvement initiatives with Agile delivery teams.
 </li>
 <li>
 Planning &amp; Coordination
 </li>
 <li>
 Oversee the end-to-end delivery lifecycle, including requirements gathering, design, development, testing, and release.
 </li>
 <li>
 Coordinate inter-team dependencies, manage capacity planning, and align releases across the Data Lab portfolio.
 </li>
 <li>
 Drive integration of Data Lab products with enterprise systems and business workflows.
 </li>
 <li>
 Value Realization &amp; Governance
 </li>
 <li>
 Define and track key KPIs and success metrics for each product.
 </li>
 <li>
 Ensure compliance with the bank&rsquo;s Data Governance, Privacy, and Security policies.
 </li>
 <li>
 Partner with Data Governance team to monitor data quality, lineage, and ownership within assigned products
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Functional / Business Skills
 </li>
 <li>
 Deep understanding of banking processes (Retail, Corporate / Wholesale, Digital channels).
 </li>
 <li>
 Strong product management background, ideally in Data, AI, or Digital transformation context.
 </li>
 <li>
 Ability to translate business needs into data and AI product requirements.
 </li>
 <li>
 Experience defining roadmaps, KPIs, and ROI metrics.
 </li>
 <li>
 Leadership &amp; Collaboration
 </li>
 <li>
 Excellent stakeholder management and communication across senior business and technology leadership.
 </li>
 <li>
 Proven experience leading cross-functional delivery teams.
 </li>
 <li>
 Strong planning, prioritization, and coordination skills.
 </li>
 <li>
 Entrepreneurial mindset with ability to balance innovation and operational excellence.
 </li>
 <li>
 Technical Awareness
 </li>
 <li>
 Understanding of AI/ML lifecycle, analytics, BI, and reporting.
 </li>
 <li>
 Familiarity with modern data platforms (e.g., Data Lakehouse, Data Streaming, APIs).
 </li>
 <li>
 Experience working in Agile or hybrid delivery models.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in AI, Data Science, Finance, Information Systems, or related field.
 </li>
 <li>
 8+ years of experience in Product Management, Program Management, or Data/AI Delivery.
 </li>
 <li>
 Proven track record in delivering complex data or AI products in financial services or technology organizations.
 </li>
 <li>
 Agile certification (Scrum PO, SAFe, or equivalent) preferred.
 </li>
 <li>
 PMI PMBoK certification preferred
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior AI Product Owner

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