business analyst

data engineer

document controller

senior data engineer

data analyst

data modeler

Saudi Pan Kingdom Company - SAPAC

<div>
 
 
 Proposed Title: Project Finance Manager
 
 
 
 
 
 
 
 1. Financial Modeling &amp; Structuring
 
 
 <ul>
 <li>
 Build, optimize, and maintain complex, macro-driven Excel financial models for bidding and executing mega projects.
 </li>
 <li>
 Structure optimal capital allocations involving senior debt, equity, export credit agencies (ECAs), and development finance institutions (DFIs).
 </li>
 <li>
 Conduct rigorous sensitivity, scenario, and risk analysis to evaluate cash flows.
 </li>
 <li>
 Evaluate and structure project payment mechanisms, optimizing for either User-Pays (Toll/User-Fee) or Government-Pays (Availability Payment) frameworks, including minimum revenue guarantees.
 </li>
 </ul>
 
 
 2. Deal Execution &amp; Capital Raising
 
 
 <ul>
 <li>
 Manage the end-to-end financial closing process for new project concessions and Special Purpose Vehicles (SPVs).
 </li>
 <li>
 Prepare high-quality Information Memorandums (IMs), pitch decks, and term sheets for prospective lenders and investors.
 </li>
 <li>
 Lead commercial negotiations with international banks, syndicates, and institutional investors to secure competitive financing terms.
 </li>
 </ul>
 
 
 3. Risk Mitigation &amp; Commercial Strategy
 
 
 <ul>
 <li>
 Develop and execute sophisticated hedging strategies (interest rate swaps, FX forwards) to protect project margins.
 </li>
 <li>
 Review and align financial models with core project agreements, including EPC (Engineering, Procurement, and Construction) contracts, O&amp;M (Operations &amp; Maintenance) agreements, and Concession Agreements.
 </li>
 <li>
 Ensure compliance with evolving market standards, specifically integrating ESG (Environmental, Social, and Governance) requirements to secure green bonds or sustainability-linked financing.
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Finance, Economics, Business Administration, or Civil/Industrial Engineering. An MBA, CFA charter, or Master&rsquo;s in Infrastructure Finance.
 </li>
 <li>
 
 Experience:
 
 10 to 15 years of progressive experience in Project Finance, Investment Banking (Infrastructure/Energy group), or the structured finance department.
 </li>
 <li>
 
 Proven Track Record:
 
 Direct involvement in reaching
 
 Financial Close
 
 on a major infrastructure, energy, or transportation project.
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Expert Financial Modeler:
 
 Advanced mastery of Excel with the ability to construct audited-level project finance models from scratch.
 </li>
 <li>
 
 Contractual Literacy:
 
 Deep understanding of PPP and EPC+F mechanics, concession laws, and commercial contract drafting.
 </li>
 <li>
 
 Macroeconomic Strategy:
 
 Strong knowledge of corporate tax laws, accounting standards for SPVs (IFRS), and international banking regulations.
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 
 Negotiation &amp; Influence:
 
 Strong commercial acumen with the ability to sit across from senior lenders and government officials to defend financial positions.
 </li>
 <li>
 
 Cross-Functional Communication:
 
 Ability to translate complex financial structures into clear concepts for technical engineering teams and corporate executives.
 </li>
 <li>
 
 Resilience:
 
 Proven capability to perform under high-pressure, tight deadlines typical of international bidding processes.
 </li>
 </ul>
 
 
</div>

Project Finance Manager

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

Senior Data Architect

Data Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

sirar by stc

<div>
 
 
 About the Company
 
 
 
 
 
 
 Advanced technology and cybersecurity company (sirar) established by stc, the region&rsquo;s ICT and digital services provider, sirar by stc is a cutting-edge cybersecurity provider that empowers organization to take control of their cyber capabilities and digital environments. As experts in business security and privacy. We offer a comprehensive range of solutions that help you to operate online safely, securely, and efficiently.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develops sirar data strategy and ensure having clear roadmap aligned with corporate strategy.
 </li>
 <li>
 Participates in developing data management framework requirements of master data, data quality and architecture.
 </li>
 <li>
 Participates in developing data governance processes and improvements to meet organizational needs.
 </li>
 <li>
 Ensures implementing data management policies and procedures.
 </li>
 <li>
 Manages data quality program and ensure continuous improvement.
 </li>
 <li>
 Ensures data management program and related projects to achieve data strategic objectives.
 </li>
 <li>
 Ensures a proper execution for data change management program.
 </li>
 <li>
 Contributes to the overall success of the company by performing all other duties and responsibilities as assigned by line manager
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Systems, Computer Science, or a related field
 </li>
 <li>
 Preferred: Certifications such as CDMP, CIPP or CIPM
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Good understanding of data governance frameworks (DAMA-DMBOK)
 </li>
 <li>
 Experience in data quality, metadata management, and data lifecycle practices
 </li>
 <li>
 Understanding of PDPL and data privacy requirements
 </li>
 <li>
 Familiarity with data sharing processes and governance
 </li>
 <li>
 Strong analytical, problem-solving, and coordination skills
 </li>
 <li>
 Experience with data governance tools (e.g., Collibra, Informatica, Purview)
 </li>
 <li>
 Hands-on experience with Power BI or Tableau
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 5 &ndash; 7 years in relevant experience.
 
 
 
 
 
 
 Important Notice for Candidates:
 
 
 
 
 
 
 By submitting your application, you confirm that you have read and understood sirar's Candidate Privacy Notice and agree to the processing of your personal data in accordance with it.
 
 
 
</div>

Data Management Lead

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 <ul>
 <li>
 Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 </li>
 <li>
 Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 </li>
 <li>
 Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 </li>
 <li>
 Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 </li>
 </ul>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design &amp; implement the data governance framework and operating model and roles and responsibilities
 </li>
 <li>
 Design &amp; implement the data governance process workflows
 </li>
 <li>
 Conduct requirement gathering, business analysis, and any data architecture activities with the data governance
 </li>
 <li>
 Participate in the data maturity assessment sessions and gap analysis
 </li>
 <li>
 Participate in alignment with EA teams and data strategy across the organization.
 </li>
 <li>
 Coordinate with the project teams and others to ensure that data standards and models align with the overall enterprise architecture and applicable standard
 </li>
 <li>
 Define roles and responsibilities related to data governance and data quality, develop related processes and procedures, and establish a common understanding and visibility of all agency data assets.
 </li>
 <li>
 Develop a strong working relationship with the appropriate business users and provide business-impact-driven analysis and communicate results to stakeholders.
 </li>
 <li>
 Engage in Establishing &amp; Operate Data offices
 </li>
 <li>
 Engage in design &amp; implementing the data governance framework in the project. Including the standards, policies and procedures, operating model and data quality standards, roles, and procedures.
 </li>
 <li>
 Help in managing and running the maturity assessment and change management practice throughout the project.
 </li>
 <li>
 Participate in the delivery of the data governance projects.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachler's degree in IT or any related majors
 </li>
 <li>
 DAMA, Informatica, Collibra certificates
 </li>
 <li>
 5+ years of experience
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Fluency in Arabic &amp; English is highly desirable
 
</div>

Data Governance Consultant

Riyad Bank

<div>
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
 </li>
 </ul>
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Follows the day-to-day operations related to the Performance Insight Senior Analyst role and oversees the activities of Performance Insight Analysts.
 </li>
 <li>
 Liaises on a regular basis with the other CoE workstreams, external parties and Planning and Control Dept. members to identify if any improvements or additions needs to be applied to any of the existing reports or dashboards.
 </li>
 </ul>
 
 
 BI Analysis &amp; Reporting
 
 
 <ul>
 <li>
 Develops and automates the production and publication of business unit&rsquo;s standards and approved reports and ensure alignment with the information management, reporting concepts and techniques
 </li>
 <li>
 Collaborates with the Planning and Control Dept. team and with if to involved external teams to identify ways of gathering the required data for reporting purposes and generate insightful reports and dashboards to reflect the performance of the agreed KPIs/metrics.
 </li>
 <li>
 Supervises and supports the creation of ad-hoc reports by providing guidance on requested information, defining the reporting requirements, and specifying areas of improvement for the reporting metrics.
 </li>
 <li>
 Ensures the end business goals are taken into consideration when new regular and ad-hoc reports are generated.
 </li>
 </ul>
 
 
 Advanced Analytics &amp; Data Mining
 
 
 <ul>
 <li>
 Develops and maintains Data mining models and EDW Marts
 </li>
 <li>
 Conducts the needed statistical analysis for the business units to ensure that the strategy requirements are defined and supported
 </li>
 </ul>
 
 
 BI Architect &amp; Information Governance
 
 
 <ul>
 <li>
 Maintains the EDW, data mart architecture, design, and data model to provide the best possible support for all BIM and the business units
 </li>
 <li>
 Documents and publishes information about EDW and its associated Data marts structure and data model
 </li>
 <li>
 Identifies resolution of data quality issues such as uniqueness, integrity and completeness in a cost-effective manner and ensures the applications adhere to defined data management practices, policies, and procedures
 </li>
 <li>
 Utilizes data profiling and quality tools, to uncover and determine root causes of data quality issues
 </li>
 </ul>
 
 
 Change &amp; Project Management
 
 
 <ul>
 <li>
 Learns and applies project management procedures and best practices to efficiently supervise Performance Insight Analysts.
 </li>
 <li>
 Supports all internal BIM on new projects to ensure they are implemented in an effective and timely manner
 </li>
 <li>
 Monitors BIM processes to ensure that IT are informed and alignment with the SLAs
 </li>
 <li>
 Documents and tracks business requirement received by the BIM to ensure that prompt actions and solutions are recommended
 </li>
 <li>
 Ensures the completion of business requirements and proper documentation and publication of results
 </li>
 </ul>
 
 
 Communication &amp; Transfer of Knowledge
 
 
 <ul>
 <li>
 Guides the Performance Insight Analysts in completing the required tasks and activities
 </li>
 <li>
 Supports the Performance Insight Analysts with any issues or blockers that arise in their day-to-day activities.
 </li>
 <li>
 Acts as a mentor and coach to the Performance Insight Analysts ensuring that regular knowledge transfer sessions are held.
 </li>
 <li>
 Works with business unit representatives to understand their strategy, requirements and obtain an understanding of the business&rsquo; objectives to identify business unit standard and approved list of reports
 </li>
 <li>
 Collaborates with IT to ensure that they are updated with all the changes in the business requirements, data, and systems
 </li>
 <li>
 Collaborates on the BIM defined processes to capture, document, publish and communicate BI reporting in line with best practices
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Continuously looks for improvement areas in reporting procedures, data acquisition processes and report showcasing and ensures that initiatives are taken to implement such changes.
 </li>
 </ul>
 
 
 Safety, Quality &amp; Environment
 
 
 <ul>
 <li>
 Complies with all relevant safety, quality and environmental management policies, procedures, and controls to ensure a healthy and safe work environment
 </li>
 </ul>
 
 
 Related Assignments
 
 
 <ul>
 <li>
 Performs other related duties or assignments as directed
 </li>
 </ul>
 
 
 
 
 
 . Qualifications &amp; Experience:Minimum Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s
 
 degree in Computer Science of Information Technology.
 </li>
 </ul>
 
 
 Minimum Experience:
 
 
 <ul>
 <li>
 4-6
 
 years
 
 relevant experience in the design and implementation of Enterprise Data Warehousing environments in a financial institution.
 </li>
 <li>
 Prior
 
 Financial
 
 Services experience.
 </li>
 </ul>
 
 
 Language:
 
 
 <ul>
 <li>
 
 English
 
 :
 
 Advanced
 
 </li>
 <li>
 
 Arabic: Preferred
 
 </li>
 </ul>
 
 
 
 
 6.Technical Knowledge areas:
 
 
 
 <ul>
 <li>
 Understanding of the bank&rsquo;s strategy, objectives, products, and services
 </li>
 <li>
 Understanding of analytical applications development and usage to support business decision making
 </li>
 <li>
 Knowledge in the architecture required for data management
 </li>
 <li>
 Knowledge of the operations, products and services of banks and financial institutions
 </li>
 <li>
 Knowledge of information management concept, technologies, and practice
 </li>
 <li>
 Understanding of the EDW and data mart principles and structure
 </li>
 <li>
 Understanding of database structures, as well as the BI layer for the different applications used by the bank
 </li>
 </ul>
 
 
 
 
 7. core competencies:
 
 
 (LEVEL 2)
 
 <ol>
 <li>
 
 Communication Excellence (
 
 The knowledge, skills and ability to listen to others and expresses oneself in a clear and effective manner that helps achieves the desired results
 
 .)
 
 </li>
 <li>
 
 Digital Orientation (
 
 The knowledge, skills and ability to use digital technologies, concepts and methodologies that solve problems, innovate, communicate and collaborate.)
 </li>
 <li>
 
 Service Excellence (
 
 The knowledge, skills and ability to understand, anticipate and responds proactively to the concerns and needs of internal and external customers, acting required to address them.)
 </li>
 <li>
 
 Risk Orientation (
 
 The knowledge, skills and ability to anticipate and manage the various types of risks that may adversely impact on the organization, our customers, our people and our shareholders.
 
 )
 
 </li>
 <li>
 
 Stakeholder Management (
 
 The knowledge, skills and ability to listen to, engages with and understands the needs of stakeholders, using this knowledge to build a coalition to get agreement on what to do and manage expectations.
 
 )
 
 </li>
 <li>
 
 Building High-Performance (
 
 The knowledge, skills and ability to manage and review the performance of individuals and teams against goals and expectations, taking corrective action when necessary by guiding, motivating and developing them.
 
 )
 
 </li>
 </ol>
 
 
 
</div>

Performance Insight Sr. Specialist

Explore 150+ Data modeler in Riyadh this August. Find roles across top companies and apply now to boost your career.

150 data modeler jobs In Riyadh

Project Finance Manager

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Performance Insight Sr. Specialist