business analyst

project manager

document controller

data analyst

data scientist

data governance manager

Deloitte

<div>
 
 AI &amp; Data &ndash; Data Management, Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 During your tenure as Data Management Manager, We are expecting the ideal candidate to have those capabilities:
 
 
 
 Technical Capabilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of enterprise-wide data management solutions (preferably using Informatica IDMC), covering Data Governance, Data Quality Metadata management &amp; Master data management (MDM) in compliance with NDMO, DAMA.
 </li>
 <li>
 Develop and implement data architecture blueprints and data integration models aligned with business needs.
 </li>
 <li>
 Manage large-scale data migration and integration programs, leveraging ETL/ELT tools and cloud-based platforms (e.g., Azure, GCP, AWS).
 </li>
 <li>
 Develop and maintain data quality frameworks (preferably using IDMC) &mdash; defining business rules, scorecards, and automated data remediation processes.
 </li>
 <li>
 Provide expertise in data cataloging tools (e.g., Collibra, Alation, Informatica, Ataccama, etc.).
 </li>
 <li>
 Oversee metadata and lineage management (Preferably leveraging Informatica Data Catalog and Axon), ensuring end-to-end data visibility.
 </li>
 <li>
 Lead master and reference data management implementations, including hierarchy management, survivorship rules, and golden record creation.
 </li>
 <li>
 Collaborate with analytics and reporting teams to ensure data availability, reliability, and single source of truth.
 </li>
 <li>
 Ensure data security, privacy, and compliance with NDMO, PDPL, GDPR and related frameworks.
 </li>
 <li>
 Lead and mentor teams on data governance frameworks, metadata strategies, and stewardship processes.
 
 
 </li>
 </ul>
 
 Functional Capabilities
 
 
 
 <ul>
 <li>
 Define and operationalize data strategies and operating models in alignment with client business objectives.
 </li>
 <li>
 Sound working knowledge of data management frameworks like NDMO, DAMA.
 </li>
 <li>
 Advise senior stakeholders on data governance maturity and roadmap development.
 </li>
 <li>
 Translate business challenges into data-driven solutions, connecting data management to business value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., finance, HR, operations, digital) to embed data ownership and stewardship roles.
 </li>
 <li>
 Support change management and data literacy initiatives to strengthen organizational data culture.
 </li>
 <li>
 Develop proposals, statements of work, and contribute to practice development for data management offerings.
 </li>
 <li>
 Manage client relationships, ensure delivery excellence, and oversee junior team members&rsquo; growth.
 
 
 </li>
 </ul>
 
 Leadership Capabilities
 
 
 
 <ul>
 <li>
 Identifies and embraces our purpose and values and puts these into practice in their professional life
 </li>
 <li>
 Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
 </li>
 <li>
 Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
 </li>
 <li>
 Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
 </li>
 <li>
 Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
 </li>
 <li>
 Excellent communication and people skills, with a strong emphasis on team working
 </li>
 <li>
 Strong administrative and numeracy skills and ability to analyze complex data with good attention to details
 </li>
 <li>
 Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 8-10 years of practical experience in Data Management Platform implementations or related roles.
 </li>
 <li>
 Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.
 </li>
 <li>
 Good command of written and spoken English.
 </li>
 <li>
 Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Big Four or Global System Integrators is a plus.
 </li>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certification in any of the data management tools (preferably Informatica IDMC) or platforms will be a plus.
 </li>
 </ul>
</div>

Manager | AI & Data | Data Management

Talent 360

<div>About Us
SiFi is a rapidly growing B2B Fin-Tech company transforming expense management for businesses in Saudi Arabia. As a licensed EMI from the Saudi Central Bank, we empower companies with innovative tools to simplify finance management. 
Position Overview
The Data Protection &amp; Governance Specialist is responsible for establishing and managing the organization&rsquo;s data protection, privacy, and data governance program. The role ensures compliance with the Saudi Personal Data Protection Law (PDPL) and National Data Management Office (NDMO) requirements.
The role coordinates the development of governance frameworks, policies, and operational practices that ensure personal and organizational data are managed securely, responsibly, and in accordance with regulatory expectations.
The position works closely with cybersecurity, legal, compliance, technology, and business teams to embed data governance and privacy practices across the organization.
Key Responsibilities
Personal Data Protection (PDPL)<ul><li>Establish and maintain the organization&rsquo;s privacy governance framework.</li><li>Develop and maintain data protection policies, procedures, and standards.</li><li>Define data privacy-related KPIs and monitor them periodically.</li><li>Lead and coordinate Privacy Impact Assessments (PIA / DPIA) for systems and initiatives involving personal data.</li><li>Maintain records of personal data processing activities.</li><li>Ensure processes exist to manage data subject rights requests (access, correction,deletion).</li><li>Support incident response processes related to personal data breaches.</li><li>Provide guidance to internal teams regarding proper handling of personal data.</li><li>Support regulatory alignment with the Saudi Personal Data Protection Law (PDPL).</li></ul>
Data Governance &amp; NDMO Compliance<ul><li>Lead the implementation of a data governance framework aligned with NDMO standards.</li><li>Establish and maintain the organization&rsquo;s data classification framework.</li><li>Define and coordinate data ownership and stewardship models across the organization.</li><li>Develop policies governing data lifecycle management, including retention and disposal.</li><li>Support implementation of data quality management and metadata standards.</li><li>Maintain data inventory and data asset management documentation.</li><li>Coordinate NDMO compliance assessments and remediation activities.</li></ul>
Governance Coordination &amp; Awareness<ul><li>Promote awareness of data protection and data governance requirements across theorganization.</li><li>Provide guidance to business units on proper data handling and classification.</li><li>Support the development of training programs related to data protection and governance.</li><li>Coordinate with Legal, Compliance, Risk, and Technology teams to ensure regulatory alignment.</li></ul> 
Requirements 
Bachelor&rsquo;s degree in Cybersecurity, Information Security, Information Systems, Law, or related field.<ul><li>2&ndash;4 years of experience in data protection, privacy, data governance, or cybersecurity governance roles.</li><li>Experience working in regulated environments such as financial services or fintech.</li><li>Familiarity with PDPL, NDMO, and regulatory governance frameworks is preferred.</li><li>Saudi Nationality
</li></ul>Preferred Certifications<ul><li>CIPP/E or CIPP/M &ndash; Certified Information Privacy Professional</li><li>ISO 27001 Foundation or Lead Implementer</li><li>Certified Data Management Professional (CDMP)</li></ul>
Key Skills<ul><li>Strong understanding of data protection and privacy principles.</li><li>Knowledge of data governance frameworks and regulatory compliance.</li><li>Ability to develop policies and governance documentation.</li><li>Strong stakeholder coordination and communication skills.</li><li>Strong analytical and organizational capabilities.</li></ul></div>

Data Protection & Governance Specialist

Jaarvis Technologies

Key Responsibilities <ul><li>Implement and align data practices with DAMA-DMBOK framework</li><li>Define and manage data governance, data quality, and data standards</li><li>Collaborate with business and technical teams to improve data management processes</li><li>Support data strategy, policies, and compliance initiatives</li><li>Conduct data assessments and maturity evaluations</li><li>Ensure proper data documentation, lineage, and stewardship practices</li><li>Work closely with stakeholders to drive data-driven decision-making</li></ul>Required Skills &amp; Qualifications<ul><li>4&ndash;8 years of experience in data management / data governance / DAMA frameworks</li><li>Strong understanding of DAMA-DMBOK, data governance, and data quality frameworks</li><li>Experience with data tools, metadata management, and data cataloging</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work on-site in a client-facing role</li></ul>Mandatory Requirements<ul><li>Arabic language proficiency (spoken &amp; professional communication)</li><li>Strong interpersonal and client-facing communication skills</li><li>Willingness to work on-site full-time</li></ul>Preferred Criteria<ul><li>DAMA certification (CDMP) is a plus</li><li>Experience in enterprise environments / consulting roles</li></ul>Pay: From ﷼150,000.00 per monthApplication Question(s):<ul><li>Are you proficient in Arabic (spoken and professional communication)?</li><li>Do you hold a DAMA certification (CDMP or equivalent)?</li><li>Are you willing to work on-site in Saudi Arabia full-time?</li><li>Do you have 4&ndash;8 years of experience in data governance, data management, or DAMA frameworks?</li><li>Do you have hands-on experience implementing DAMA-DMBOK principles in an enterprise environment?</li><li>Have you worked in consulting or client-facing roles?</li><li>Briefly describe your experience with data governance, data quality, and data standards:</li><li>Which data tools or platforms have you worked with (e.g., data cataloging, metadata tools)?</li></ul>Work Location: In person

DAMA Consultant

Brainlake

<div>
 The Data Governance Chief Specialist owns the design and enforcement of the Government-Wide data governance framework &mdash; policies, standards, KPIs, and operating model. You will work directly with senior government stakeholders, lead cross-entity governance bodies, and drive measurable improvements in data quality, sharing, and management maturity at a national level
 
 
 <ul>
 <li>
 Lead development and continuous enhancement of the Government-Wide data governance framework &mdash; including policies, standards, and operating model
 </li>
 <li>
 Define, measure, and enforce compliance with government data policies through structured monitoring, audits, and performance tracking
 </li>
 <li>
 Drive the development, rollout, and governance of Government-Wide data performance indices to assess and uplift data quality, sharing, and management capability across entities
 </li>
 <li>
 Lead the end-to-end KPI measurement cycle: data collection, validation, scoring, and quality assurance
 </li>
 <li>
 Maintain and govern the Government-Wide data information model &mdash; enterprise data architecture, key data domains, and relationships
 </li>
 <li>
 Maintain and govern the central data catalogue, metadata, and reference data; resolve cross-entity inconsistencies and ownership conflicts
 </li>
 <li>
 Promote and enable cross-entity data sharing through engagement, platform adoption, and a collaborative data culture
 </li>
 <li>
 Operationalize governance bodies (Data Committees, Working Groups) for oversight, alignment, and escalation management
 </li>
 <li>
 Provide strategic oversight on data-related risks and integrate with enterprise risk management
 </li>
 <li>
 Engage senior stakeholders across government to align governance priorities with strategic and transformation initiatives
 
 
 </li>
 </ul>
 Lead continuous improvement of the internal governance team's practices and performance
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's in Data Management, Business Administration, IT, or a related field; Master's preferred
 </li>
 <li>
 20+ years of progressive experience in data governance, data management, information architecture, or digital transformation &mdash; with deep expertise in policy design, data modelling, and enterprise data architecture
 </li>
 <li>
 Demonstrated track record establishing or scaling enterprise-level or national-scale data governance functions, including compliance and performance measurement frameworks
 </li>
 <li>
 Strong working knowledge of global frameworks &mdash; DAMA-DMBOK, DCAM, ISO 8000, or equivalent
 </li>
 <li>
 Hands-on experience implementing and governing data policies, standards, and operating models in complex multi-entity or multinational environments
 </li>
 <li>
 Comfortable engaging C-suite, ministerial, or board-level stakeholders
 </li>
 <li>
 Excellent written and spoken English; Arabic is a plus
 </li>
 </ul>
</div>

Data Governance Chief Specialist

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 Develop and manage RSG's HR technology and people analytics infrastructure, ensuring system implementation, data accuracy, and integrity, and acting as the central enabler of workforce insights and HR digitalization across RSG.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 
 
 Functional Responsibilities
 
 
 <ul>
 <li>
 Oversee the implementation, configuration, and continuous optimization of HRIS platforms, ensuring systems are reliable, efficient, and aligned with HR's operational needs.
 </li>
 <li>
 Establish and maintain HR data governance frameworks, including data standards, validation processes, system controls, and audit mechanisms to ensure accuracy and integrity across all HR platforms.
 </li>
 <li>
 Define and standardize mandatory HR data fields in alignment with HR CoEs, ensuring critical employee data is consistently captured across key HR processes (e.g., onboarding, payroll).
 </li>
 <li>
 Govern HR master data quality across all systems, ensuring consistency and accuracy throughout the employee lifecycle.
 </li>
 <li>
 Lead the development and maintenance of HR dashboards and reporting tools that deliver real-time, insight driven analytics to HR leadership and organizational decision-makers.
 </li>
 <li>
 Develop and implement workforce analytics frameworks to monitor and interpret trends in engagement, turnover, performance, and other strategic workforce indicators.
 </li>
 <li>
 Ensure HR data analytics outputs actively inform HR strategic planning, initiatives, and framework development in collaboration with HR Strategy &amp; PMO.
 </li>
 <li>
 Drive HR process automation initiatives, ensuring automation workflows align with RSG's Delegation of Authority and authority matrix by embedding the correct approver flows during system configuration.
 </li>
 <li>
 Serve as the Digital HR subject matter expert, owning the HR-side relationship with Technology and Applications Solutions teams, and ensuring all system changes are properly defined, approved, and governed before technical execution.
 </li>
 <li>
 Oversee user change management for HRIS deployments and monitor ongoing system adoption, driving continuous improvement in how HR digital tools are utilized across the function.
 </li>
 <li>
 Support secure and compliant HR data management in line with RSG's data protection governance and applicable regulatory requirements.
 </li>
 <li>
 Ensure HR Intelligence project delivery at section level, overseeing scope, timelines, risks, and stakeholder engagement across concurrent system initiatives.
 </li>
 </ul>
 
 
 
 
 
 Managerial Responsibilities
 
 
 <ul>
 <li>
 Contribute to providing input to the Department&rsquo;s strategy from the Section or Unit perspective, in alignment with RSG&rsquo;s vision and mission.
 </li>
 <li>
 Contribute to developing the Section or Unit&rsquo;s objectives, KPIs, and annual operational plans, ensuring implementation meets performance targets.
 </li>
 <li>
 Contribute to the Section or Unit&rsquo;s budget preparation and monitor financial performance.
 </li>
 <li>
 Implement and ensure adherence to Section or Unit policies and procedures; oversee performance and KPI communication.
 </li>
 <li>
 Ensure effective staffing, development, and deployment of Section or Unit employees in coordination with higher management.
 </li>
 <li>
 Job Requirements:
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 
 
 Academic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in MIS, Human Resources, Business Administration, or a related field. (Master's
 </li>
 <li>
 Degree Preferred)
 </li>
 </ul>
 
 
 
 
 
 Years of Experience
 
 
 <ul>
 <li>
 10 years (with 2+ in managerial roles) of relevant experience
 </li>
 </ul>
 
 
 
 
 
 Other Requirements
 
 
 <ul>
 <li>
 SAP SuccessFactors Certification (Preferred)
 </li>
 <li>
 Certified Human Resources Information Professional &ndash; CHRIP (Preferred)
 </li>
 </ul>
 
 
 
 
 
 Technical Competencies:
 
 
 <ul>
 <li>
 HR Systems Infrastructure Management - Advanced
 </li>
 <li>
 Workforce Analytics - Advanced
 </li>
 <li>
 Data Governance - Advanced
 </li>
 <li>
 Data Integrity - Advanced
 </li>
 <li>
 Reporting &amp; Visualization - Advanced
 </li>
 <li>
 SAP SuccessFactors Configuration &amp; Management - Advanced
 </li>
 <li>
 System Optimization &amp; Process Automation - Advanced
 </li>
 <li>
 DoA &amp; HR Governance Interpretation &amp; Application - Intermediate
 </li>
 <li>
 Project Management - Intermediate
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️ YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Senior Manager – HR Intelligence

Saudi Credit Information Company - SIMAH

<div>
 
 
 JOB PURPOSE / ROLE:
 
 
 
 To fully and effectively direct the Data Quality Unit within the Data Management Department within SIMAH. The purpose of this role is to direct various areas related to data Quality such as data acquisition, analysis, accuracy, integrity, conformity, completeness, uniqueness, timeliness and consistency.
 
 
 
 
 
 
 RESPONSIBILITY:
 
 
 
 
 Strategic
 
 
 <ul>
 <li>
 Directing to the development of SIMAH&rsquo;s Data Management strategic and leadership.
 </li>
 </ul>
 
 
 
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work on carried out in a controlled and consistent manner.
 </li>
 </ul>
 
 
 
 
 
 Budget
 
 
 <ul>
 <li>
 Direct the Recommends of the inputs for the Data Management budget under the supervision of Chief Data Officer
 </li>
 <li>
 Directs and oversees yearly budgeting of Data Management in coordination with Chief Data Officer
 </li>
 <li>
 Directs the Work with business stakeholders as Data steward.
 </li>
 </ul>
 
 
 
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Directs the day-to-day operations related to own job to ensure continuity of work.
 </li>
 </ul>
 
 
 
 
 
 People Management
 
 
 <ul>
 <li>
 Ensures subordinates 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.
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Direct the Oversee the overall Data Management activities within SIMAH and continuing the progress within the department.
 </li>
 <li>
 Direct periodically the Subordinates relation processes and ensure the completion.
 </li>
 </ul>
 
 
 
 
 
 Reporting
 
 
 <ul>
 <li>
 Direct in the preparation of timely and accurate reports of SIMAH to meet company and department requirements, policies, and standards.
 </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>
 
 
 
 
 
 Information Security/Cyber Security / BCM/Privacy
 
 
 <ul>
 <li>
 Implementation of and compliance with the cybersecurity/privacy/ Business Continuity requirements as per SIMAH&rsquo;s policies and procedures.
 </li>
 <li>
 Ensure that standards, processes and procedures of your department reflect Security/privacy/ Business Continuity requirements (if applicable).
 </li>
 <li>
 Ensure that individuals within your department accept and comply with the Cyber Security/Privacy/ Business Continuity policy, supporting standards and procedures when they are issued and updated.
 </li>
 <li>
 Coordinate with Risk Department to identify and report cyber security and privacy risks and vulnerabilities, availability and continuity risks in IT systems
 </li>
 <li>
 Immediately report cyber security and privacy incidents to Risk Department (Information Security unit).
 </li>
 <li>
 Coordinate with Risk Department to effectively and efficiency implement agreed on security, privacy and availability controls
 </li>
 <li>
 Coordinate with Risk Department to review cyber security, privacy and Continuity controls of third-party service providers for your department
 </li>
 <li>
 Ensure continuity of critical activities and systems that is related to your department.
 </li>
 <li>
 Ensure that all subordinate employees are communicated and aware about the Information and Cyber Security Policies/Privacy Policy/ Business Continuity policy distributed based on &ldquo;Need to Know and/or Need to do basis&rdquo;.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE:
 
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in IT, IS, MIS, Electronic Business, Data Analytics or any in other relevant discipline.
 </li>
 <li>
 8 - 12 years of relevant experience
 </li>
 </ul>
 
 
 
 
 
 Language:
 
 
 <ul>
 <li>
 English: Advanced
 </li>
 </ul>
 
 
 
 
 
 Soft skills &amp; Technical Knowledge areas:
 
 
 <ul>
 <li>
 Achieving Results
 </li>
 <li>
 Adaptability &amp; Improvement
 </li>
 <li>
 Commitment &amp; Motivation
 </li>
 <li>
 Technical Excellence
 </li>
 </ul>
 
 
</div>

Head of Data Quality

MA'ADEN

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

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