Direct end-to-end project delivery for hyperscale data center construction and deployment, ensuring alignment with organizational objectives and timelines
Develop comprehensive project plans, schedules, and budgets; monitor progress against key performance indicators and implement corrective actions as needed
Lead and mentor cross-functional project teams, including engineers, contractors, and technical specialists; foster collaboration and accountability across all stakeholders
Manage vendor relationships, procurement processes, and contractor performance to ensure quality deliverables and cost efficiency
Assess current ZATCA systems and database operational model, identify gaps and challenges to define IT systems and database operations areas of improvement and stay abreast of the latest trends and standards
Gather business needs, oversee the development of databases design, review and finalize database capacity plans to ensure that all projects are aligned with set plans
Collect needed operational inputs, perform daily operations of ZATCA systems and databases to maintain the best operational performance
Oversee all daily work activities of systems and database operations, assess the feasibility of automation to build scripts automating the daily operations of when possible
Lakehouse Architecture & Implementation: Design and deploy a unified Data Lakehouse utilizing the Medallion architecture (Bronze, Silver, Gold) and open table formats (e.g., Delta Lake, Apache Iceberg) on cloud infrastructure hosted within Saudi Arabia.
Data Ingestion & Pipeline Engineering: Build reusable, automated ingestion frameworks (batch and streaming) capable of processing both structured data (RDBMS, APIs) and unstructured data (PDFs, policy documents) to feed downstream AI models and semantic reasoning engines.
Data Quality & Governance: Implement automated data quality "circuit breakers" (completeness, uniqueness, referential integrity) and end‑to‑end data lineage tracking frameworks.
Optimization: Optimize data processing workflows for performance, scalability, and cost‑efficiency.
Own end-to-end project planning, governance, and delivery of the data lake modernization program, including scope, timeline, budget, resourcing, and risk/issue management.
Lead delivery of the AI/ML use case workstream for hyper-personalization and Next Best Offer, coordinating data scientists, ML engineers, and banking product/marketing stakeholders.
Define and manage the project roadmap covering data platform migration (legacy to modern data lake/lakehouse architecture), data pipeline modernization, data governance, and AI model deployment.
Act as the primary point of contact for senior client stakeholders (CIO/CDO/Head of Marketing/Retail Banking) - managing expectations, steering committees, and executive reporting.
Senior Specialist, Data Science & Artificial Intelligence
Ma'aden Aluminium Company (MAC)
Riyadh
20 days ago
On-siteFull-timeSenior
strong AI Solution Development amp Innovation strong Develop and deploy machine learning deep learning and Generative AI solutions that address strategic and operational business challenges Design scalable AI applications that improve decision-making productivity automation and business performance Accelerate AI adoption through innovative use of advanced analytics and emerging AI technologies
strong Model Performance amp Optimization strong Improve model accuracy reliability and effectiveness through feature engineering tuning evaluation and optimization techniques Strengthen AI outcomes through robust testing validation and continuous performance enhancement Ensure AI solutions remain aligned with business objectives and evolving operational requirements
strong Generative AI amp LLM Enablement strong Build and enhance GenAI applications using prompt engineering retrieval-augmented generation RAG and large language model technologies Improve response quality accuracy and relevance through structured evaluation and optimization approaches Deliver enterprise-ready AI capabilities that support knowledge discovery content generation and intelligent automation
strong Data Preparation amp Engineering Enablement strong Transform structured and unstructured data into high-quality datasets suitable for AI and machine learning applications Improve data usability and reliability through effective cleansing preparation and feature development practices Ensure AI solutions are built on trusted governed and business-relevant data assets
Data Entry and Database Management: Accurately enter information into company databases spreadsheets software systems and other electronic records Update existing records and ensure information remains complete accurate and current Verify data received from different departments or external sources before entering it into company systems Identify and correct data-entry errors duplicate records incomplete information and inconsistencies Perform routine data quality checks and reconcile information where necessary Transfer information from paper documents emails forms reports and other sources into electronic systems Maintain structured and well-organized electronic records for easy retrieval Assist with database clean-up and periodic data verification exercises Process high volumes of information while maintaining accuracy and meeting required deadlines
Administrative Support: Provide general administrative and clerical support to management and other team members Prepare type format edit and proofread correspondence reports forms spreadsheets and other documents Organize and maintain electronic and physical filing systems Scan photocopy print file and distribute documents when required Assist with preparing meeting documents schedules reports and administrative records Maintain office records and ensure documents are properly categorized and stored Assist with incoming and outgoing correspondence including emails letters and internal documents Support routine office operations and complete additional administrative duties assigned by management
Records and Document Management: Create and maintain accurate filing and document-control systems Retrieve records and documents promptly when requested by authorized employees Ensure records are filed according to established company procedures Archive older records according to organizational retention requirements Maintain appropriate confidentiality and security of employee customer financial operational and other sensitive records Ensure confidential documents are only accessible to authorized personnel Assist with preparing documentation for internal reviews audits and compliance requirements
Reporting and Spreadsheet Management: Prepare and update routine spreadsheets trackers registers and administrative reports Compile information from different sources for management review Assist in generating weekly monthly or periodic reports Check reports for missing information inconsistencies and obvious errors before submission Maintain trackers for assigned activities documents requests or departmental records Use Microsoft Excel or similar spreadsheet applications to organize filter sort and summarize data
Support the development and maintenance of Specialized's enterprise data architecture in alignment with business objectives and stc Group data management standards.
Monitor and track KPIs related to NDMO and PDPL domain maturity, identifying gaps and supporting required improvement actions.
Contribute to the implementation and maintenance of the Identity and Access Management (IAM) framework, policies, and controls.
Implement data governance policies, standards, and guidelines in alignment with stc Group directives and applicable regulatory requirements.
Hands-on involvement in Data Centre facilities with an IT load of 10 MW or above.
Strong MEP infrastructure experience covering power, cooling, and mission-critical systems.
Lead technical qualification of hyperscale data centre opportunities by reviewing RFPs, specifications, drawings, schedules, contractual requirements, and customer requirements.
Conduct technical discovery and define requirements covering IT load, rack density, deployment phases, redundancy, availability, utility capacity, cooling, security, sustainability, and future expansion.
Selects and leads a team of advanced analytics experts and data scientists (SWAT team) to serve cross-sector and strategic (CEO type) requests
Ensures the collaboration between SWAT team and BU specific insight specialists and data scientists to provide additional capacity or guidance to meet internal BU analytical needs
Supports the BUs/FUs need for complex and standardized analytics requests by allocating analytical resources from the SWAT team
Proposes cross-functional analytics use cases based on available data and needs from the Bus/FUs
Design Cognitive Solutions: Create technical solution architectures for business problems, utilizing system engineering principles, cloud architectures, and probabilistic and stochastic systems.
Lead Solution Development: Guide the development, integration, and testing of cognitive solutions, ensuring performance architecture and engineering of a fully functional cognitive system.
Select Analytics Components: Choose complementary analytics components for developing solution blueprints, considering content formats, representations, data sources, content management systems, and interfaces.
Develop Solution Blueprints: Account for the full information path from source to knowledge base and from input to processing the content in Cognitive Computing solutions.
