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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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**A Data Science Specialist** is meant to manage, analyze, and summarize the information innovatively, and we are looking for such an expert for our partner. The Data Since Specialist will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different models and analytical solutions.

**Responsibilities**:
**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers

**Day-to-day operations**
- Perform the day-to-day activities of the Modelling & Data mining department and ensure that work processes are implemented as designed and comply with established policies, processes, and procedures

**Modelling & Data Science Management**
- Work with organizational stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Work with stakeholders to define their Business and strategy requirements and translate them into analytical and technical requirements.
- Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop the bank A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Conduct adequate research, analysis, and studies to leverage support and assistance from different departments and users.
- Develop, implement, and maintain Data mining models.
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability, and Risk Management for Basel II requirements, Credit Scorecard, AML, and Fraud Prevention).
- Participate in the mission of improving the data quality and EDW adoption
- Perform detailed data analysis on complex business questions using different sources of information and provide written or verbal reports to internal users to drive business decision-making and assess strategy performance
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- Collaborate with the Business Data Management team to adapt and improve processes and capabilities to meet business objectives, including database development initiatives
- Assess and validate data
- Examine overall customer behavior and, through analysis, provide recommendations to improve the customer experience.
- Participate in various stages of insight deployment related to customer communications, promotions, assortment, and pricing.
- Provide advice on campaign design, particularly the use of control groups, and produce post-analysis
- Guide to contact management.
- Guide use of the Customer Insight database with business users through ongoing communication and training
- Participate in maintaining the metadata dictionary’s contents and add new contributions to it. Help to develop meaningful metrics and targets and measure actual Bank results
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports

**Communication and Transfer of Knowledge**
- Collaborates with the business units to gather their Modelling & Data mining requirements, understands their business objectives, and develops a close working relationship with them
- Ensure that gained knowledge is distributed among Data Mining team members as well as other BIM members whenever required.
- Assess and help team members leverage their knowledge to higher levels utilizing expert knowledge and available BI tools.

**Continuous Improvement**
- Contributes to the identification of opportunities for continuous improvement of processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction, and productivity improvement
- Explore new technologies and methods and improve the bank’s implemented models accordingly

**Reporting**
- Help internal users set up analytical reports and dashboards to meet their business requirements
- Train stakeholders and other members of the team on how to effectivel

Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals


• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning


• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights


• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency


• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges


• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies


• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth


• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field


• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams


• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)


• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies


• Proven track record of successfully leading and delivering large-scale data science projects that drive business value


• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses


• Strong project management skills and ability to lead teams in a fast-paced environment


• Excellent analytical and strategic thinking skills, with a focus on results


• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates

• Certified Data Scientist (CDS)


• Microsoft Certified: Azure Data Scientist Associate


• Google Cloud Professional Data Engineer

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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• Senior Data Scientist (Bangkok based, relocation provided)


• Lead DS (Data Scientist) Bangkok based, Relocation provided

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Overview

We are seeking a highly skilled professional to lead the development and operation of our AI & Emerging Technology Academy. The ideal candidate will bring a strong blend of consulting expertise and training program development experience, enabling them to design, deliver, and scale impactful learning initiatives that build cutting-edge capabilities in AI, data science, and emerging technologies.

Key Responsibilities

• Develop and execute the strategic roadmap for the AI & Emerging Technology Academy.
• Design and implement world-class training programs, workshops, and certifications in AI, data science, IoT, blockchain, and related domains.
• Provide expert consulting to internal and external stakeholders on AI adoption, emerging tech trends, and capability building.
• Build partnerships with academic institutions, technology providers, and industry experts to enhance program offerings.
• Oversee curriculum development, instructional design, and quality assurance of training content.
• Measure learning impact and continuously improve program effectiveness.
• Manage budgets, resources, and faculty/trainer engagements.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field; PhD preferred.
• 8+ years of experience in technology consulting, innovation, or capability building.
• Proven track record in designing and delivering training programs in emerging technologies.
• Strong knowledge of AI/ML frameworks, data analytics, and digital transformation trends.
• Excellent communication, stakeholder management, and leadership skills.
• Experience working with government or large enterprise training initiatives is a plus.

Personal Attributes

• Strategic thinker with execution focus.
• Passion for education, innovation, and technology enablement.
• Ability to translate complex technical concepts into practical learning experiences.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Finance

Industries

• Software Development
• Financial Services
• Banking

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Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world’s largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Job Overview

We are seeking an Artificial Intelligence Specialist (AIS) to join the Gas Operations Technical Support Division.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The primary role of the Artificial Intelligence Specialist is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

Duties and Responsibilities

The successful candidate will be required to perform the following:

• Lead a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

Minimum Requirements

• The candidate must hold a Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical, and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Job ID: 15053

Tagged as: Gas Ventures Dept

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Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Job Overview

We are seeking an Artificial Intelligence Specialist (AIS) to join the Gas Operations Technical Support Division.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The primary role of the Artificial Intelligence Specialist is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

Duties and Responsibilities

The successful candidate will be required to perform the following:

• Lead a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company's regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

Minimum Requirements

• The candidate must hold a Bachelor's degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical, and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Job ID: 15053

Tagged as: Gas Ventures Dept

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

**About Us**:
As the advanced central research and development organization of The Boeing Company, Boeing Research & Technology (BR&T) provides innovative technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services.

**Location**:
King Abdullah University in Science and Technology, Jeddah, Saudi Arabia

**Primary Responsibilities**:
This is an Artificial Intelligence Engineer role. Your duties will include (but not limited to):
- Adapt and integrate various software packages into workable prototypes
- Design, apply, and create algorithms, methods, and tools addressing project requirements
- Participate in the software development and machine learning development processes- Collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations- Provide solutions to a variety of technical problems of moderate scope and complexity
- Work under general supervision, and no instructions are needed for routine work
- Leverage knowledge of Artificial Intelligence approaches and techniques
- Effectively communicate results to teammates and customers
- Demonstrate an interest in personal learning and development
- Seek feedback from multiple sources to improve and develop

**Basic Qualifications (Required Skills/Experience)**:

- Experience developing and deploying software programs
- Experience developing and evaluating learned models
- Experience preparing data to create learned models
- Experience with scripting languages for prototyping such as Python
- Experience with high level programming languages such a C++, C, Java

**Preferred Qualifications (Desired Skills/Experience)**:

- Bachelor's degree or higher in Computer Science or similar
- Experience with software frameworks such as Robot Operating System (ROS)
- Experience with Linux OS
- Experience with machine learning libraries, such as PyTorch.
- Experience with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, Markov Decision
- Experience with Machine Learning development and deployment pipeline, i.e. from data to model
- Knowledge of data structure, numerical optimization and algorithm complexity
- Experience with Agile methodology and repositories, such as Git

**Typical Education & Experience**:
Education/experience typically acquired through advanced education (e.g. Bachelor) and/or typically 2 or more years' related work experience or an equivalent combination of education and experience (e.g. Master).

**Relocation**:
This position does offer relocation.

**Equal Opportunity Employer**:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Adjunct/Visiting Faculty Position - Data Science

The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well-placed to offer students an exceptional educational experience.

The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond.

The KAPSARC School of Public Policy (KSPP) invites applications for an Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Data Science, including those with research interests that intersect with political science, decision science, and/or economics. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.

Responsibilities:

1. The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.

Qualifications:

1. PhD or equivalent degree in data science or similar discipline and strong teaching, research, and service record.

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We’re looking for a **Data Science & ML Team Lead** to manage the enterprise predictive Modelling, Data Mining, and Data Science function for the bank

**Responsibilities**:
**Strategy**
- Contributes to the development of divisional strategy and ensures translation and alignment during the development and monitoring of departmental strategy, including objectives, targets, and initiatives
- Working closely with other departments to devise their analytics strategy and assisting in executing it. E.g., Digital Banking department

**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers

**Day-to-day operations**
- Supervises the day-to-day activities of the Modelling, Data Science, and Artificial Intelligence Department to ensure that work processes are implemented as designed and comply with established policies, processes and procedures

**Modeling & Data Science Management**
- Develop, implement, and maintain Data mining models
- Conduct statistical analysis of the Customer Insight Solution (CIS) database and insights in response to identified analytic projects
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability and Risk Management for Basel II requirements, Credit Scorecard, AML and Fraud Prevention)
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- To manage, analyze, and summarize the information innovatively and collaborate with the CRM team, reporting team, segmentation managers, product managers, Risk, marketing and sales departments; to perform the required Data science and predictive models to provide the necessary insights.

**Transfer of Knowledge & Communication**
- Ensures the collaboration and communication with the EBIA team to automate the production and publication of business unit’s standard and approved analyses and Performance Management information (KPIs, Dashboards, Strategy Maps, etc.)
- Works closely with business units to identify business unit standard/approved analytical processes and analyses
- Collaborates with the business units to gather their Modelling & Data Science requirements, understands their business objectives, and develops a close working relationship with them
- Works with BI Advisory, Applied Practices, and BI & Reporting Teams for the Business Champions incubation program to know more about the EBIM and the BI Environment in the bank

**Change Management**
- Participates with change management in assessing the impact of introducing changes to people, processes, and systems and develops relevant communication and awareness initiatives to support the effective implementation of change
- Provide coaching to promote the adoption of insights and related tools delivered through the Customer Insight Solution (CIS) database

**Reporting**
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports

**Committees & Meetings**
- Represents the function and actively contributes in various committees/meetings (internal and external) as applicable and per authority levels to ensure relevant matters are dealt with in a timely and efficient manner

**People Management**
- Ensures all staff have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff
- Ensures and facilitates the employment, training, and development of Saudi nationals within the organization

**Safety, Quality & Environment**
- Ensures compliance with all relevant safety, quality, and environmental management policies, procedures, and controls across the department to guarantee employee safety, legislative compliance and a responsible environmental attitude

**Related Assignments**
- Performs other related duties or assignments as directed

**Requirements**:

- Master’s degree in statistics, computational linguistics, computer science, or related quantitative methods plus
- 8 years of data analysis and reporting experiences
- 5 years of experience in the Banking industry, including knowledge of CRM, marketing, and strategy support
- Preferably Arabic and English speaker

**Technical knowledge areas**:

- Understanding of the bank’s strategy, objectives, products and services
- Understanding t