account manager

ai solution manager

communication associate

contract administrator

legal counsel ii

ai consultant

Temenos

<div>
 
 
 ABOUT TEMENOS
 
 
 
 
 
 Temenos is a global leader in banking technology. Through our market-leading core banking suite and best-in-class composable solutions, we are modernizing the banking industry. Banks of all sizes utilize our adaptable technology &ndash; on-premises, in the cloud, or as SaaS &ndash; to deliver next-generation services and AI-enhanced experiences that elevate banking for their customers. Our mission is to create a world where people can live their best financial lives.
 
 
 
 
 VALUES
 
 
 
 
 
 Care About Transforming The Banking Landscape.
 
 
 
 
 
 Commit to being part of an exciting culture and product evolving within the financial industry.
 
 
 
 
 Collaborate effectively and proactively with teams within or outside Temenos.
 
 
 
 
 Challenge yourself to be ambitious and achieve your individual as well as the company targets.
 
 
 
 
 
 ABOUT TEMENOS
 
 
 
 
 Temenos is a global leader in banking technology. Through our market-leading core banking suite and best-in-class composable solutions, we are modernizing the banking industry. Banks of all sizes utilize our adaptable technology &ndash; on-premises, in the cloud, or as SaaS &ndash; to deliver next-generation services and AI-enhanced experiences that elevate banking for their customers. Our mission is to create a world where people can live their best financial lives.
 
 
 For more information, please visit www.temenos.com.
 
 
 
 THE ROLE
 
 
 
 The Lead Consultant is responsible for providing detailed level support and expertise in Transact AA product throughout the stages of TEMENOS implementation projects. The Senior Consultant focuses especially on more complex issues, and provides guidance and coaching to less experienced Consultants.
 
 
 The Lead Consultant is capable of working with clients or partners in leading the implementation of a specific product as part of the overall project delivery. Able to handle day to day challenges and owning the resolution of issues as they arise. The Senior Consultant will have a detailed level knowledge, whilst also displaying similar awareness of industry and market trends/behaviors. A strong information sharing contribution to their aligned Centre of Excellence and input on Product and Process Improvement is also expected.
 
 
 
 OPPORTUNITIES
 
 
 
 <ul>
 <li>
 You will focus on more complex functional problems, generally without day-to-day supervision or direction. Provide guidance and advice to less experienced consultants in case of complex functional issues during the implementation and client relationships development. Has strong proficiency in the tools, systems, procedures that are used to accomplish the job.
 </li>
 <li>
 You will demonstrate strong Stakeholder Management Skills with all contacts.
 </li>
 <li>
 You will successfully implement respective Transact AA product.
 </li>
 <li>
 You will take a lead role in ensuring the contribution of others adds value.
 </li>
 <li>
 You will coordinate with the TEMENOS maintenance groups to ensure that the product problems identified are understood and resolved.
 </li>
 <li>
 You will be the Senior Business Consultant is expected to specialize in both Retail and Corporate banking. Specific knowledge of the following; AA Account AA Lending AA Deposit
 </li>
 <li>
 You will handle business analysis workshop related to Arrangement Architecture AA modules streams covering product configuration, out of the box functionalities/workflow, and bank specific gaps.
 </li>
 <li>
 You will analyse client business requirements and relate them to TEMENOS products capability.
 </li>
 <li>
 You will identify and validate any gaps together with proposals for their resolution (e.g. workarounds or changes in processes) and ensure any solutions proposed are realistic and within the agreed scope of the project.
 </li>
 <li>
 You will define and validate customization needs for TEMENOS products as per agreed business definitions.
 </li>
 <li>
 You will write specifications, if and when needed, for local development and ensure Technical Consultants have a clear understanding of these specifications.
 </li>
 <li>
 You will prepare and perform the configuration of TEMENOS products through the definition of static and semi-static data for the installation of the core system.
 </li>
 <li>
 You will prepare and perform the functional testing to support User Acceptance Testing.
 </li>
 <li>
 You will review client organization, processes and workflows and propose of a &lsquo;post-picture&rsquo; to maximize the benefit from TEMENOS&rsquo; products.
 </li>
 <li>
 You will make recommendations on best banking practices to the Project Manager and alert him on practices that might damage the client&rsquo;s business or contradict legal requirements, before recognition as a problem by the client.
 </li>
 <li>
 You will conduct parts or all of the User training in a subject, which includes design, customization and update of Training Materials and Handouts.
 </li>
 <li>
 You will perform such other duties, functions and services, consistent with status or vocational ability, as may from time to time be required. The role requires substantial travel &ndash; normally on client site Monday to Friday and back at weekends, however there may be periods where they will be expected to extend the periods away from home with TOIL given to compensate.
 
 
 </li>
 </ul>
 
 
 SKILLS
 
 
 
 
 <ul>
 <li>
 You should be a professional with a minimum of ten years of experience in Finance or in banking software consultancy.
 </li>
 <li>
 You should be fluent in English &ndash; verbal and written. Additional language skills would be of benefit.
 </li>
 <li>
 You should have a good understanding of financial and banking processes around one or more of the following; Payments Credits, Accounting, Treasury, MI, Asset Management, Securities, Private Wealth Management, Trade Finance, Retail and Corporate Banking. IT oriented: knowledge of a banking software applications, excellent knowledge in PowerPoint, Excel as well as other MS Office environment applications. You should have expert knowledge on Transact AA product. Strong awareness of Industry and market developments, good overall company knowledge.
 </li>
 <li>
 You should fully understand and be able to deploy the TEMENOS Implementation Methodology.
 </li>
 <li>
 You should have an awareness of other jobs in the project team as the job activities either influence or are influenced by these.
 
 
 </li>
 </ul>
 
 VALUES
 
 
 
 <ul>
 <li>
 Care about providing expert support to implementation projects.
 </li>
 <li>
 Commit to leading implementations and lead less experienced consultants.
 </li>
 <li>
 Collaborate with your team, partners and clients.
 </li>
 <li>
 Challenge yourself to work on complex functional problems.
 
 
 </li>
 </ul>
 
 
 SOME OF OUR BENEFITS Include:
 
 
 
 
 <ul>
 <li>
 Maternity leave: Transition back with 3 days per week in the first month and 4 days per week in the second month
 </li>
 <li>
 Civil Partnership: 1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership
 </li>
 <li>
 Family care: 4 weeks of paid family care leave
 </li>
 <li>
 Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge
 </li>
 <li>
 Study leaves: 2 weeks of paid leave each year for study or personal development
 
 
 </li>
 </ul>
 Please make sure to read our Recruitment Privacy Policy
 
 
</div>

Lead Business Architect

MENA Consultant

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 


We are seeking a Saudi National PDPL Senior Consultant to support the implementation, operationalization, and ongoing compliance of Saudi Arabia's Personal Data Protection Law (PDPL) within the organization for a 4-month project. The role will focus on maintaining privacy controls, monitoring compliance, supporting privacy operations, and collaborating with business, legal, IT, and data governance teams to ensure alignment with SDAIA guidance and regulatory requirements.

<h2 class="jobSectionHeader">Key Requirements</h2>
<ul><li>Saudi National.</li>
<li>Proven experience implementing and supporting Saudi Arabia's Personal Data Protection Law (PDPL) requirements.</li>
<li>Hands-on experience maintaining Records of Processing Activities (RoPA).</li>
<li>Experience supporting Data Protection Impact Assessments (DPIAs).</li>
</ul><h2 class="jobSectionHeader">Other Qualifications</h2>
<ul><li>Bachelor's degree in Law, Information Security, Computer Science, Information Technology, Business Administration, or a related field.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent documentation and reporting capabilities.</li>
<li>Ability to coordinate with cross-functional teams and manage multiple compliance activities simultaneously.</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Support the implementation and operationalization of PDPL requirements across the organization.</li>
<li>Monitor ongoing compliance with PDPL regulations and SDAIA guidance.</li>
<li>Maintain privacy controls, policies, procedures, and operational documentation.</li>
<li>Manage and maintain Records of Processing Activities (RoPA).</li>
<li>Support Data Protection Impact Assessments (DPIAs) and other privacy compliance assessments.</li>
<li>Coordinate the handling of data subject rights requests and privacy-related incidents.</li>
<li>Monitor data classification and data protection controls to ensure regulatory compliance.</li>
<li>Collaborate with business, legal, IT, and data governance teams to implement privacy requirements and enhancements.</li>
<li>Prepare compliance reports, audit artifacts, and regulatory documentation to demonstrate compliance readiness.</li>
<li>Identify privacy risks and recommend corrective actions to strengthen the organization's privacy program.</li></ul> 


If you would like to know more about the Global Consulting Bootcamp Visit: https://caseinpointco.com/global-consultant-bootcamp/ 
If you would like to know more about the MC Club Visit: https://menaconsultant.com/mc-club/</div>

PDPL Senior Consultant (Saudi National) - 4-Month Engagement

Sundus

<div>
 
 We are looking for an experienced
 
 SAP SRM Consultant
 
 with strong functional expertise in SAP Supplier Relationship Management and proven experience in end-to-end implementation projects to be based in Riyadh.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Engineering, Business Administration, or any related field.
 </li>
 <li>
 10 years of SAP experience with strong expertise in
 
 SAP SRM
 
 .
 </li>
 <li>
 Minimum
 
 2 end-to-end SAP SRM implementation
 
 projects.
 </li>
 <li>
 Hands-on experience in Organizational Setup, Strategic Sourcing, Catalog Management (MDM), Service Procurement, Supplier Enablement &amp; Evaluation, Contract Management
 </li>
 <li>
 Expertise in procurement processes including
 
 RFx, Auctions, Live Bidding, Two-Envelope Bidding, and Document Collaboration
 
 .
 </li>
 <li>
 Strong configuration experience in
 
 Extended Classic Scenario, SRM-SUS, ROS, PDP Scenario, and Process-Controlled Workflows
 
 .
 </li>
 <li>
 Experience integrating
 
 SAP SRM with SAP MM and SAP FI
 
 .
 </li>
 <li>
 
 SAP S/4HANA MM knowledge
 
 is an added advantage.
 </li>
 <li>
 Ideal candidate must be currently residing in Saudi, preferably in Riyadh with a valid transferable Iqama.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end SAP SRM implementation and rollout activities.
 </li>
 <li>
 Gather and analyze business requirements and translate them into SAP solutions.
 </li>
 <li>
 Prepare functional specifications and support Unit Testing, SIT, and UAT.
 </li>
 <li>
 Configure SAP MM/SRM organizational structures and procurement processes.
 </li>
 <li>
 Configure procurement workflows and ensure seamless system integration.
 </li>
 <li>
 Support data migration, cutover, user training, and post-go-live activities.
 </li>
 </ul>
</div>

SAP SRM Consultant

Rentokil Initial

<div>The Sales Associate inspects the market and sells Rentokil Boecker&reg; services and products through highly dynamic prospecting, solid relationship building, client presentations, proposal pricing and writing, contract negotiation, and efficient marketing tools and activities.
Rentokil Boecker&reg; Sales Consultant is held accountable for the below job responsibilities:<ul><li>
Implementing the sales strategy developed by the Sales Manager to attain the monthly sales targets, goals, renewals, and profitability</li><li>
Identifying potential clients and business opportunities by prospecting the market</li><li>
Delivering sales presentations for prospects in a professional and effective manner and inform them how they can benefit from having the safest sustainable solution for health, property and the environment through their use of Rentokil Boecker&reg; services</li><li>
Surveying premises to estimate technical requirements and pricing when needed</li><li>
Developing ideas and creating offers for target clients using all necessary marketing tools</li><li>
Presenting new products and services to existing clients and enhancing client relationships through preplanned courtesy calls and visits</li><li>
Responding to client&rsquo;s needs and following up with all concerned parties on all aspects of their request</li><li>
Educating clients on the processes that will enable them to gain the most value from Rentokil Boecker&reg; services</li><li>
Preparing detailed offers, following up till the offer becomes a contract and handling after-sales follow-up</li><li>
Handling renewals of contracts, when applicable</li><li>
Communicating effectively new sales and renewals to Operations Department</li><li>
Handling the client&rsquo;s data accurately and timely on Rentokil Boecker&reg; systems</li><li>
Documenting and delivering weekly and monthly sales reports</li><li>
Participating in events and exhibitions to promote company&rsquo;s services</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s Degree in Business Administration, Marketing, Agriculture, Food Science or equivalent</li></ul><ul>
<li>Experience of minimum</li>
<li>At least 2 years of experience in Sales and Marketing/B2B selling in relevant markets.</li>
<li>Proficiency in English and Arabic with excellent verbal and written communication skills.</li>
<li>Computer Proficiency: Microsoft Office and CRM</li>
<li>Knowledgeable in reporting and monitoring with remarkable attention to details.</li>
<li>Effective decision making and problem-solving skills.</li> 
</ul> 
 
Benefits 
<ul>
<li>Competitive salary</li>
<li>22 vacation days per year</li>
<li>1 ticket to home country</li>
<li>Medical insurance class B</li></ul></div>

Sales Associate

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <li>
 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
 </li>
 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
 <li>
 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
 <li>
 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 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) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

CNTXT AI

<div>
 
 
 Position Summary
 
 
 
 This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:
 
 <ul>
 <li>
 
 
 Data annotation:
 
 labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
 
 </li>
 <li>
 
 
 LLM evaluation:
 
 reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
 
 </li>
 <li>
 
 
 Content generation:
 
 writing high-quality prompts and model responses to guide AI learning across diverse topics.
 
 </li>
 <li>
 
 
 Localization QA:
 
 ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.
 
 
 
 </li>
 </ul>
 
 You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.
 
 
 
 Profile Requirements
 
 
 <ul>
 <li>
 
 Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 
 </li>
 <li>
 
 Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.
 
 </li>
 <li>
 
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
 
 </li>
 <li>
 
 Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
 
 </li>
 <li>
 
 Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
 
 </li>
 <li>
 
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 
 </li>
 <li>
 
 Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
 
 </li>
 <li>
 
 Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
 
 
 
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 
 Professional localization or translation experience.
 
 </li>
 <li>
 
 Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
 
 </li>
 <li>
 
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
 
 </li>
 <li>
 
 Previous experience with AI data training, annotation, or evaluation.
 
 
 
 </li>
 </ul>
 
 
 About CNTXT AI
 
 
 
 CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.
 
</div>

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

MASTER-WORKS

<div>Master Works is seeking a detail-oriented and analytical Data Management, Specialist to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence. 
Key Responsibilities
<ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul>
Technical Skills<ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul>Job location: Client Site</div>

Data Management, Specialist

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