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senior data modeler

Devoteam

<div>Company Description 
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:
1. Respect 
2. Frankness 
3. Passion
Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
To know more about us, please visit: www.devoteam.com 
 
 
Job Description 
Summary Introduction:
Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.
Key Responsibilities:<ul><li>
Assessment - Review current data models to understand the AS-IS environment.</li><li>
Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used.</li><li>
Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understand where data model structures can address business requirements.</li><li>
Multi-Paradigm Modeling - Designing 3NF (Third Normal Form) for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes.</li><li>
Data Quality - Transform unstructured data into structured data by fixing errors, eliminate redundancies and unnecessary data to optimize data systems.</li><li>
Performance Optimization - Optimize query performance through smart indexing, partitioning, and materialization strategies.</li><li>
Data Governance - Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and relevant diagrams for data systems and metadata management.</li><li>
Data Security - Specify rules and guidelines for ensuring data security and compliance. Define procedures for ensuring data are classified according to their sensitivity.</li><li>
Tooling &amp; Documentation - Maintain data schemas using modern standards modeling tools and ensure documentation is accessible to both technical and non-technical users.</li></ul> 

Qualifications 
<ul><li>
B.Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases.</li><li>
SQL Proficiency - Write, read, and optimize complex SQL transactional and analytical queries</li><li>
Modern Data Stack Familiarity - Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, BigQuery, Databricks), working alongside transformation tools (e.g., dbt), and create ERDs for relational systems and dimensional diagrams.</li><li>
Tooling - Proficiency with ER/Studio, Erwin or similar data modeling software.</li><li>
NoSQL/Unstructured Data - Understanding of when and how to model semi-structured data (JSON, Parquet) and NoSQL databases (MongoDB, Cassandra) alongside relational data.</li><li>
Physical Data Management - Understand current data storage constrains and define TO-BE needs with growth allocation.</li><li>
Data Integration - Familiar with ETL tools to define the rules for data transformations and prepare data for big data analytics.</li><li>
Soft Skills: Communication, presentation skills, Business needs, able to lead or mentor a team.</li></ul>
Certificates: W3school SQL Certification, DAMA-CDMP Certification, Microsoft: Azure Data Engineer Associate. 
Additional Information 
Business Unit: DAIC
Level: Mid-senior level</div>

Senior Data Modeler Consultant

Qiddiya | القدية

<div>
 The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
 
 
 This currently includes:
 
 
 <ul>
 <li>
 Cost data from Prism
 </li>
 <li>
 Time data from Primavera P6
 </li>
 <li>
 Risk data from Arm
 </li>
 <li>
 Metadata from Aconex related to documents and report content
 </li>
 <li>
 Various spreadsheets and databases implemented by Qiddiya
 
 
 </li>
 </ul>
 The Data Modeling expert will take the existing model developed in PowerBI and enhance it's capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Enhance the existing data model strategy that covers all development analysis and reporting requirements
 </li>
 <li>
 Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models
 </li>
 <li>
 Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome
 </li>
 <li>
 Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions
 </li>
 <li>
 Work with the Data Office to ensure all data and reports are properly governed
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 Systems development
 
 
 
 <ul>
 <li>
 Implementation of software solutions into established working environments
 </li>
 <li>
 Experienced with the integration of existing software packages
 </li>
 <li>
 Development of workflow and automated process to enhance data capturing routines
 
 
 </li>
 </ul>
 
 Intra- Organization Stakeholder Experience
 
 
 
 <ul>
 <li>
 Effectively liaise with individuals with a variety of experience and authority levels
 </li>
 <li>
 Understand technical solutions and communicate how they solve problems
 
 
 </li>
 </ul>
 
 Team support and development
 
 
 
 <ul>
 <li>
 Assessment of individual and team performance to optimize efficiency
 </li>
 <li>
 Support to individuals with a variety of technical experience to encourage growth and development
 
 
 </li>
 </ul>
 
 Effective delivery within large organizational structures:
 
 
 
 <ul>
 <li>
 Work within the established organizational structure to effectively deliver defined outcomes
 </li>
 <li>
 Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
 
 
 </li>
 </ul>
 
 Team collaboration:
 
 
 
 <ul>
 <li>
 Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
 </li>
 <li>
 Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
 
 
 </li>
 </ul>
 
 Degree educated in information services and/or data analytics
 
 
 
 
 Established experience of working as part of an owner's team on solutions for large and complex organizations
 
 
 
 
 Preferred Backgrounds
 
 
 
 <ul>
 <li>
 Excellent communication, presentation, and interpersonal skills
 </li>
 <li>
 Fluency in using Microsoft Office
 </li>
 <li>
 Have high ability to work individually and collaboratively with others
 </li>
 <li>
 Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline
 </li>
 <li>
 Highly motivated and a strong drive to learn including independent learning
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Exposure to all aspects of the development business
 </li>
 <li>
 Opportunity to shape large datasets and implement innovative analytical solutions
 </li>
 <li>
 Opportunity to help develop a team with strong core technical skills
 </li>
 <li>
 Long term appointment
 </li>
 </ul>
</div>

Manager - Data Modeling CDUP2086

<div>
 The Senior Manager - FP&amp;A (Development) will support the financial oversight and performance management of Qiddiya's development portfolio. This role will focus on financial monitoring of development projects, variance analysis, risk tracking, management reporting, and ensuring alignment between project controls and accounting systems.
 
 
 The role will play a key part in preparing high-quality management reports, budget submissions, variance analyses, and project financial reviews, while providing actionable insights to senior finance leadership. The Senior Manager will work closely with cross-functional teams to ensure financial discipline, data integrity, and continuous process improvement across development projects.
 
 
 <ul>
 <li>
 Support financial oversight of capital development projects, ensuring alignment with approved budgets, schedules, and scope.
 </li>
 <li>
 Prepare and consolidate management packs, executive summaries, and budget submissions for review by the Senior Director.
 </li>
 <li>
 Analyze financial performance, identify key variances, and provide structured insights with recommended actions.
 </li>
 <li>
 Manage monthly reconciliation between project systems and accounting systems, ensuring data accuracy and timely issue resolution.
 </li>
 <li>
 Review project schedule updates (Primavera P6) and assess financial impact of risks, delays, and scope changes.
 </li>
 <li>
 Develop and maintain financial models and scenario analyses to support forecasting and planning.
 </li>
 <li>
 Standardize reporting templates, KPIs, dashboards, and action trackers across development projects
 </li>
 <li>
 Collaborate with Accounting, Treasury, Project Controls, and other FP&amp;A teams to ensure process alignment and data consistency.
 </li>
 <li>
 Contribute to automation and reporting enhancement initiatives within the Development FP&amp;A function.
 </li>
 <li>
 Support internal governance processes related to budget control, forecasting discipline, and financial transparency.
 </li>
 <li>
 Provide guidance and coaching to analysts within the team, promoting accuracy, accountability, and continuous improvement
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 10+ years of total experience in Finance
 </li>
 <li>
 Experience in Financial Planning and Analysis (FP&amp;A) within a real estate development environment
 </li>
 <li>
 Experience in development, construction, infrastructure, real estate, or large capital project environments is strongly preferred.
 </li>
 <li>
 Experience working within large, complex organizations is required.
 </li>
 <li>
 Big 4 or Tier 1 consulting background is advantageous
 </li>
 </ul>
</div>

Senior Manager - Development Financial Planning and Analysis (CORS 249)

<div>
 Qiddiya Investment Company is on the lookout for a dynamic Senior Specialist in Business Intelligence to enhance our data-driven strategy and analytics capabilities. The Senior Business Intelligence Specialist is responsible for transforming multi‑source operational and guest‑experience data into meaningful insights that drive performance, service-quality improvements, and strategic decision‑making across the Contact Center. This role ensures data accuracy, develops advanced dashboards, monitors key performance indicators (KPIs), and provides actionable analytics to leadership and operational teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 KPI Data Collection &amp; Validation
 </li>
 <li>
 </li>
 <li>
 Consolidate multi-source data: IVR/telephony, CRM/case management, QA scorecards, post-call and digital surveys, social/complaints, chat, email, WhatsApp, app/web feedback
 </li>
 <li>
 </li>
 <li>
 Detect early warning signals (spikes in negative sentiment, repeat contacts, reopened cases, escalation trends)
 </li>
 <li>
 </li>
 <li>
 Maintain alerting for threshold breaches (CSAT dips, complaint surges, SLA misses)
 </li>
 <li>
 </li>
 <li>
 </li>
 <li>
 Extract required KPIs from approved systems following designated schedules to maintain consistent reporting accuracy
 </li>
 <li>
 </li>
 <li>
 Validate dataset completeness and formatting, ensuring numerical integrity and alignment with reporting requirements
 </li>
 <li>
 </li>
 <li>
 Maintain unified data templates to support continuity, comparability, and repeatability of performance reporting
 </li>
 <li>
 </li>
 <li>
 Flag errors, missing values, or anomalies to concerned stakeholders for timely resolution
 </li>
 <li>
 Dashboard Updating &amp; Reporting
 </li>
 <li>
 </li>
 <li>
 Update dashboards with accurate performance metrics, ensuring correct visual representation and labeling
 </li>
 <li>
 </li>
 <li>
 Executive VOG (Voice of the Guest) Dashboard (CSAT/NPS/CES, trends, drivers, top issues, corrective actions recommendations and Insights)
 </li>
 <li>
 </li>
 <li>
 Prepare structured weekly and monthly summaries to support operational and leadership reviews
 </li>
 <li>
 </li>
 <li>
 Maintain historical data libraries, ensuring consistent archiving and access to past performance cycles to support continuity of analysis
 </li>
 <li>
 </li>
 <li>
 Support enhancements to dashboard structures by collecting feedback and identifying usability needs
 </li>
 <li>
 Insights &amp; Improvement Support
 </li>
 <li>
 </li>
 <li>
 Link complaints + QA findings + operational KPIs to root causes (e.g., long AHT, policy ambiguity, defect-prone journeys, knowledge gaps)
 </li>
 <li>
 </li>
 <li>
 Facilitate insight readouts with QA, Operations, Training/Development, and Product/Policy owners
 </li>
 <li>
 </li>
 <li>
 Capture recurring performance issues and categorize them appropriately within tracking logs
 </li>
 <li>
 </li>
 <li>
 Provide data extracts supporting trend analysis and service-improvement assessments
 </li>
 <li>
 </li>
 <li>
 Maintain productivity, adherence, and quality datasets required for operational decision-making
 </li>
 <li>
 </li>
 <li>
 Highlight emerging patterns that may impact performance targets or frontline consistency
 </li>
 <li>
 Audit Readiness &amp; Documentation
 </li>
 <li>
 </li>
 <li>
 Maintain audit-ready evidence folders, ensuring organized logs and complete supporting documentation
 </li>
 <li>
 </li>
 <li>
 Prepare required KPI samples during audits or governance reviews
 </li>
 <li>
 </li>
 <li>
 Validate integrity of archived datasets and ensure documentation traceability
 </li>
 <li>
 </li>
 <li>
 Support compliance with internal reporting standards and data-governance expectations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum qualification:
 </li>
 <li>
 </li>
 <li>
 Bachelor's degree in business administration, Hospitality and Tourism Management, or related discipline required
 </li>
 <li>
 Certifications:
 </li>
 <li>
 </li>
 <li>
 COPC training, ITIL, CX/Service Excellence certifications or equivalent required
 </li>
 <li>
 </li>
 <li>
 Lean Six Sigma Green Belt
 </li>
 <li>
 </li>
 <li>
 Business Intelligence Certificate
 </li>
 <li>
 </li>
 <li>
 Power BI
 </li>
 <li>
 Years of Relevant Experience:
 </li>
 <li>
 </li>
 <li>
 4+ years, preferably with majority in Performance Management
 </li>
 <li>
 Nature of Experience:
 </li>
 <li>
 </li>
 <li>
 Experience in performance reporting, data analysis, or service-operations monitoring preferred
 </li>
 <li>
 </li>
 <li>
 Experience working in a related area in a leading professional-services firm, prestigious consulting firm or entertainment/real estate industry preferred.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Comprehensive benefits package
</div>

Senior Specialist - Business Intelligence

Confidential Government

<div>
 
 We are seeking a skilled
 
 Data Analytics Manager
 
 to lead our data analytics team, driving insights and supporting data-driven decision-making across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead and manage the data analytics team to deliver actionable insights.
 </li>
 <li>
 Design, implement, and maintain data models, dashboards, and reporting tools.
 </li>
 <li>
 Collaborate with business units to understand analytics needs and translate them into solutions.
 </li>
 <li>
 Analyze complex datasets to identify trends, patterns, and opportunities.
 </li>
 <li>
 Ensure data quality, integrity, and governance across analytics initiatives.
 </li>
 <li>
 Present insights and recommendations to senior management to support strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Computer Science, or a related field (master&rsquo;s preferred).
 </li>
 <li>
 7+ years of experience in data analytics, with at least 3 years in a managerial role.
 </li>
 <li>
 Strong knowledge of data visualization tools (e.g., Power BI, Tableau) and analytics platforms.
 </li>
 <li>
 Proficiency in SQL, Python, R, or similar analytics languages.
 </li>
 <li>
 Excellent leadership, communication, and problem-solving skills.
 </li>
 </ul>
</div>

Data Analytics Manager

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

The Cigna Group

<div>Position: Senior Compliance Officer 
Reports to: Head of Compliance, Cigna Saudi Arabia Branch 
Department: Compliance Department<h1 class="jobSectionHeader">
About Cigna</h1>
Cigna is a global health service company dedicated to improving health, well-being, and peace of mind. With a strong presence in Saudi Arabia, Cigna is committed to delivering best-in-class health solutions aligned with Vision 2030.<h1 class="jobSectionHeader">
Job Description</h1>
The Senior Compliance Officer will play a pivotal role in supporting the Head of Compliance to ensure Cigna&rsquo;s operations in Saudi Arabia meet all regulatory and internal compliance requirements. This role involves assisting in key compliance initiatives, supporting AML/CFT and Anti-Fraud programs, and acting as a subject matter expert on regulatory matters and data privacy.<h1 class="jobSectionHeader">
Key Responsibilities</h1>
The Senior Compliance Officer will help and assist the Head of Compliance in the following:<ul><li>
Monitoring and interpreting regulatory changes, laws, and guidelines affecting the insurance sector in Saudi Arabia.</li><li>
Designing and executing the annual compliance plan.</li><li>
Reviewing and updating company policies and procedures to ensure ongoing compliance.</li><li>
Providing regulatory advice to business units, projects, and committees.</li><li>
Representing the compliance function in internal and external meetings, committees, and with regulators.</li><li>
Leading or participating in internal audits and regulatory inspections.</li><li>
Managing and supporting the compliance team.</li><li>
Coordinating with Legal, HR, and other departments on compliance-related matters.</li><li>
Supporting regulatory inspections, audits, and supervisory visits.</li><li>
Maintaining and updating the compliance database and obligation register.</li><li>
Tracking regulatory deadlines and coordinating regulatory submissions.</li><li>
Conducting compliance risk assessments and self-assessment validations.</li><li>
Preparing and delivering compliance reports (quarterly/annual) for management.</li><li>
Developing and delivering compliance training and awareness campaigns for staff.</li><li>
Supporting data privacy compliance, including breach management and data subject access requests.</li><li>
Assisting in implementing AML requirements, including maintaining and updating AML/CFT policies and procedures, conducting transaction monitoring, name screening, filing suspicious transaction reports, coordinating AML training, responding to regulator AML requests, and conducting internal AML risk assessments.</li><li>
Assisting in implementing Anti-Fraud requirements, including maintaining and updating anti-fraud policies and procedures, managing confidential whistleblowing channels, investigating fraud cases, preparing fraud investigation reports, and coordinating with Legal/HR on disciplinary actions.</li><li>
Managing compliance files, registers, and logs, ensuring accuracy and confidentiality.</li><li>
Acting as a point of contact for compliance-related queries from business units.</li><li>
Participating in investigations of compliance breaches, fraud, or whistleblowing cases.</li><li>
Assisting in preparing reports and presentations for internal and external stakeholders.</li></ul><h1 class="jobSectionHeader">
Requirements</h1><ul><li>
At least 8 years of experience in compliance, preferably within the insurance or financial services sector.</li><li>
Strong knowledge of Saudi insurance regulations, data protection laws, and AML/CFT requirements.</li><li>
Demonstrated experience in policy development, risk assessment, and regulatory reporting.</li><li>
Excellent analytical, planning, and problem-solving skills.</li><li>
Strong written and verbal communication skills in English and Arabic.</li><li>
Ability to work independently and as part of a team in a fast-paced environment.</li><li>
High ethical standards, attention to detail, and a proactive approach.</li></ul>
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we&rsquo;re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Senior Compliance Officer

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