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enterprise cloud architect

Huxley

<div>
 
 
 Cloud Architect (Azure &amp; GCP) - Banking Sector
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia (Onsite Only)
 
 
 Contract Duration:
 
 12 Months (Extendable)
 
 
 Employment Type:
 
 Contract
 
 
 Industry:
 
 Banking / Financial Services
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Cloud Architect
 
 with a strong background in designing and delivering enterprise cloud solutions across
 
 Microsoft Azure and Google Cloud Platform (GCP)
 
 within the
 
 banking sector
 
 .
 
 
 The successful candidate will play a key role in defining cloud strategy, architecture, governance, security, and migration initiatives for a leading financial institution in Riyadh.
 
 
 
 IMPORTANT:
 
 Applicants must have prior experience working directly for a
 
 Saudi Arabian Bank or a GCC-based Bank
 
 . This requirement is mandatory.
 
 
 This is a full-time onsite position based in Riyadh. Remote working is not available.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement scalable, secure, and highly available cloud architectures across Azure and GCP environments.
 </li>
 <li>
 Lead cloud transformation and modernization initiatives within a banking environment.
 </li>
 <li>
 Develop cloud architecture frameworks, standards, governance models, and best practices.
 </li>
 <li>
 Create target-state architectures and cloud adoption roadmaps aligned with business objectives.
 </li>
 <li>
 Ensure cloud solutions comply with banking security, regulatory, and compliance requirements.
 </li>
 <li>
 Drive migration of applications, databases, and infrastructure workloads to cloud platforms.
 </li>
 <li>
 Collaborate with infrastructure, security, application, and business teams to deliver cloud solutions.
 </li>
 <li>
 Conduct architecture reviews, risk assessments, and design assurance activities.
 </li>
 <li>
 Define disaster recovery, business continuity, and resilience strategies.
 </li>
 <li>
 Optimize cloud environments for performance, scalability, cost management, and operational excellence.
 </li>
 <li>
 Support DevOps, automation, Infrastructure as Code (IaC), and CI/CD implementation.
 </li>
 <li>
 Act as the cloud subject matter expert for architecture and strategic cloud initiatives.
 </li>
 </ul>
 
 
 
 
 Mandatory Requirements
 
 
 <ul>
 <li>
 Minimum
 
 10+ years of overall IT experience
 
 .
 </li>
 <li>
 Minimum
 
 5+ years in Cloud Architecture roles
 
 .
 </li>
 <li>
 Strong hands-on experience with both:
 <ul>
 <li>
 Microsoft Azure
 </li>
 <li>
 Google Cloud Platform (GCP)
 </li>
 </ul>
 </li>
 <li>
 
 Must have worked for a Saudi Bank or GCC Bank
 
 (UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, or Oman) - Mandatory.
 </li>
 <li>
 Proven experience delivering enterprise cloud transformation projects within the banking or financial services sector.
 </li>
 <li>
 Strong understanding of cloud security, governance, identity management, and regulatory compliance.
 </li>
 <li>
 Experience with hybrid cloud and multi-cloud architectures.
 </li>
 <li>
 Excellent stakeholder management and communication skills.
 
 </li>
 </ul>
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Strong banking domain expertise.
 </li>
 <li>
 Ability to engage with senior stakeholders and technology leadership teams.
 </li>
 <li>
 Experience delivering large-scale cloud transformation programs.
 </li>
 <li>
 Strategic thinker with hands-on technical capability.
 </li>
 <li>
 Strong understanding of enterprise security and regulatory requirements within financial services.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 
 Cloud Architect | Azure &amp; GCP | Riyadh | Banking
 
 We are hiring a Cloud Architect with 10+ years of experience and strong expertise across Azure and GCP for a 12-month onsite contract in Riyadh.
 
 ✅ 10+ years IT experience
 
 ✅ Azure &amp; GCP Architecture expertise
 
 ✅ Banking industry background
 
 ✅ MUST have worked for a Saudi Bank or GCC Bank
 
 ✅ Onsite in Riyadh (No Remote Work)
 
 ✅ Immediate or short notice preferred
 
 If you meet the mandatory banking experience requirement and are interested in a long-term contract opportunity, please apply with your updated CV.
 
 
 
 
 Let op: vacaturefraude
 
 
 
 
 Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
 
 * Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
 
 * Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de offici&euml;le contactgegevens op onze website.
 
 
 
 Important: job fraud
 
 
 
 Unfortunately, job fraud is becoming more common. Beware of such scams:
 
 * We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
 
 * If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
 
</div>

Cloud Architect

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Enterprise Architect (9&ndash;12+ Years Experience)</h1><h2 class="jobSectionHeader">
Job Title: Enterprise Architect</h2><h2 class="jobSectionHeader">
Experience: 9&ndash;12+ Years</h2><h2 class="jobSectionHeader">
Location: Riyadh, Saudi</h2><h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Enterprise Architect to define and drive the organization's enterprise architecture strategy, ensuring technology investments align with business objectives. The ideal candidate will establish enterprise architecture principles, standards, target-state architectures, strategic roadmaps, and governance mechanisms while collaborating with business and technology stakeholders to deliver scalable, secure, and future-ready solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and maintain enterprise architecture strategies aligned with business goals.</li><li>
Define enterprise architecture principles, standards, reference architectures, and governance processes.</li><li>
Design current-state and target-state architecture models and transformation roadmaps.</li><li>
Evaluate emerging technologies and recommend strategic technology investments.</li><li>
Collaborate with business leaders, solution architects, engineering teams, and project managers to ensure architectural alignment.</li><li>
Conduct architecture reviews and ensure compliance with enterprise standards and governance.</li><li>
Lead technology modernization, cloud adoption, and digital transformation initiatives.</li><li>
Perform architecture impact assessments and provide technical guidance across projects.</li><li>
Mentor solution architects and engineering teams on enterprise architecture best practices.</li></ul><h2 class="jobSectionHeader">
Must Have Skills</h2><ul><li>
Experience in Enterprise Architecture Principles AND Architecture Standards AND Target-State Architecture AND Technology Roadmaps AND Architecture Governance Mechanisms.</li><li>
Enterprise architecture frameworks: TOGAF OR Zachman Framework OR FEAF OR Gartner Enterprise Architecture.</li><li>
Architecture modeling: ArchiMate OR UML OR BPMN OR C4 Model.</li><li>
Cloud platforms: AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Architecture domains: Business Architecture AND Application Architecture AND Data Architecture AND Technology Architecture AND Security Architecture.</li><li>
Solution Evaluation AND Technology Strategy AND Architecture Review AND Governance.</li><li>
Strong understanding of Microservices AND API Architecture AND Event-Driven Architecture AND Integration Patterns.</li><li>
Experience with DevSecOps AND CI/CD AND Infrastructure as Code (IaC).</li><li>
Excellent stakeholder management, leadership, communication, strategic planning, and decision-making skills.</li></ul><h2 class="jobSectionHeader">
Good to Have Skills</h2><ul><li>
Enterprise architecture tools: Sparx Enterprise Architect OR LeanIX OR Bizzdesign OR Orbus Software OR MEGA HOPEX.</li><li>
Knowledge of Kubernetes OR Docker OR OpenShift.</li><li>
Experience with Service-Oriented Architecture (SOA) OR Domain-Driven Design (DDD).</li><li>
Familiarity with governance and service management frameworks: ITIL OR COBIT.</li><li>
Experience in digital transformation, cloud migration, application modernization, and enterprise integration initiatives.</li><li>
Knowledge of security and compliance frameworks such as ISO 27001 OR NIST OR CIS Controls.</li><li>
Relevant certifications: TOGAF OR AWS Certified Solutions Architect OR Microsoft Certified: Azure Solutions Architect Expert OR Google Professional Cloud Architect.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; Master's degree is a plus.</li><li>
9&ndash;12 years of experience in enterprise architecture, solution architecture, or technology strategy.</li><li>
Proven experience defining enterprise architecture standards and leading enterprise-wide transformation initiatives.</li><li>
Strong ability to align business strategy with technology strategy and influence executive stakeholders.</li><li>
Excellent analytical, communication, leadership, and mentoring skills.</li></ul>
HjrGEOHWNK</div>

Enterprise Architect

Aventus

<div>
 
 
 We're Hiring: cloud Solution Architects (12-Month Contract) - On site in Riyadh
 
 
 
 
 
 
 We're looking for
 
 3
 
 experienced Solution Architects to join a cloud transformation project
 
 
 1 role for each cloud provider:
 
 
 
 
 
 ☁️ 1x Alibaba Cloud Solution Architect
 
 
 ☁️ 1x Oracle Cloud Solution Architect
 
 
 ☁️ 1x AWS Solution Architect
 
 
 📍 Contract Duration: 12 months
 
 
 🗣️ Arabic speakers preferred
 
 
 
 
 
 
 7 Years of experience
 
 
 
 
 
 
 
 What you'll do:
 
 
 
 ✅ Lead and supervise cloud migration activities to ensure successful delivery and alignment with project objectives
 
 
 ✅ Participate in the Design Authority to review and approve architecture decisions, designs, and technical standards
 
 
 ✅ Review project deliverables to ensure quality, completeness, and compliance with architecture and governance requirements
 
 
 ✅ Collaborate with project teams, stakeholders, and vendors to address technical challenges and risks
 
 
 ✅ Provide architectural guidance and best practices throughout the migration and transformation lifecycle
 
 
 ✅ Contribute to Enterprise Architecture initiatives, ensuring alignment with the organization's EA principles and roadmap
 
 
 ✅ Support technical governance, design reviews, and decision-making processes across cloud projects
 
 
 
 
 
 Please send CVS only if you meet requirement's above!
 
</div>

Cloud Solution Architects

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
As a Client Manager at NTT DATA, your role will center on building and nurturing relationships with assigned Small and Medium Business (SMB) accounts, ensuring client satisfaction, driving revenue growth, and expanding opportunities across our technology and cloud solution portfolio, with a strong focus on AWS solutions. Youll utilize our leading technologies and methodologies to understand clients business needs and deliver tailored solutions that help them achieve their digital transformation goals.
 
Youll manage and grow strategic client relationships by leveraging consultative selling, strategic planning, and account management best practices, coordinating with our global network of offices, technical architects, and solutions engineers to deliver exceptional client experiences. Your focus will include achieving revenue and margin targets, minimizing client churn, maximizing customer retention, and identifying upsell and cross-sell opportunities throughout the customer lifecycle.
 
By utilizing your extensive knowledge of modern technology sales methodologies, cloud services, and market trends, you will develop and implement account strategies that drive long-term customer success. Youll work closely with major stakeholders to identify business opportunities, provide strategic guidance on AWS solutions, contribute to revenue growth, and support clients through every stage of their buying journey.
 
You will be utilizing major CRM tools to manage accounts, opportunities, sales pipelines, forecasts, and customer collaboration activities. You will proactively identify, develop, negotiate, and close new business opportunities while analyzing customer requirements, planning strategically, and collaborating across geographies to meet and exceed sales quotas and KPIs.
 
As the primary point of contact for your clients, youll tackle customer challenges, ensure client satisfaction, and lead contract, pricing, and service agreement negotiations. You will partner with internal teams to translate client requirements into scalable technology and AWS cloud solutions that deliver measurable business value and long-term success.
 
To thrive in this role, you need to have: 
•
 
Strong sales and business acumen, with expertise in consultative and solution-based selling, strategic account planning, and achieving revenue targets.
 •
 
5 years or more of proven experience managing client relationships throughout the customer lifecycle, driving customer satisfaction, retention, and revenue growth through upselling and cross-selling.
 •
 
Strong understanding of AWS services, cloud technologies, and the ability to translate customer business needs into impactful cloud solutions.
 •
 
Knowledge of NTT DATAs technology offerings, client use cases, market trends, and competitive landscape.
 •
 
Ability to identify, develop, advance, negotiate, and close opportunities within assigned accounts and prospects.
 •
 
Experience working in technology sales, account management, or business development, preferably within the SMB segment and exposure to customers across the Middle East and Africa region.
 •
 
Proficiency in Salesforce or other CRM platforms for opportunity management, pipeline tracking, forecasting, and reporting.
 •
 
Strong collaboration skills with the ability to align internal stakeholders, including technical architects, solutions engineers, and delivery teams, around a common customer vision.
 •
 
Excellent communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences.
 •
 
A customer-first mindset, strong problem-solving abilities, and the capability to work independently in a fast-paced and agile environment.
 •
 
Experience leading contract, pricing, and service level agreement negotiations to successfully close customer deals.
 •
 
A bachelors degree or equivalent in Business, Marketing, Sales, or a related field.
 •
 
AWS certifications (such as AWS Certified Cloud Practitioner or AWS Certified Solutions Architect – Associate) are considered an advantage.
 •
 
Fluency in both Arabic and English is required.
 
Workplace type: On-site Working
 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Client Manager - SMB (Jeddah or Dammam)

<div><h2 class="jobSectionHeader">Role Summary</h2>
We are seeking an experienced Platform Engineer to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><h2 class="jobSectionHeader">
Must-Have Skills</h2><ul><li>
Experience with GitLab OR Jenkins for CI/CD pipeline development and automation.</li><li>
Experience with Argo CD for GitOps-based application deployment.</li><li>
Experience with SonarQube for code quality and static code analysis.</li><li>
Experience with Renovate Bot or comparable dependency management and automation tools.</li><li>
Hands-on experience with Docker OR Docker Compose for containerization.</li><li>
Experience with Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run for container orchestration and cloud-native application deployment.</li><li>
Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><h2 class="jobSectionHeader">
Good to Have</h2><ul><li>
Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Experience with Helm OR Kustomize.</li><li>
Knowledge of Prometheus OR Grafana OR ELK Stack for monitoring and observability.</li><li>
Experience with HashiCorp Vault or other secrets management solutions.</li><li>
Familiarity with Python OR Go for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as Istio or Linkerd.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;12+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul>
jh9EThp8S0</div>

Platform Engineer

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

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