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azure technical architect with ai ml knowledge

Acenet consulting

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Role Summary</b></p><p>We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on-prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ML teams and enable next-gen capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, costoptimisation, reliability and operational excellence.</li><li>Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance, subscriptions, management groups, identity, networking).</li><li>Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity &amp; access (Azure AD, RBAC, managed identities), hybrid connectivity.</li><li>Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.</li><li>Lead and execute cloud migration strategies (on-prem &rarr; Azure, legacy workloads &rarr; cloud native), uplift existing systems, modernise infra, containerise where appropriate.</li><li>Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.</li><li>AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads&mdash;this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.</li><li>Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.</li><li>Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.</li><li>Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.</li><li>Monitor and optimise Azure environment performance, cost, scalability and reliability over time &mdash; propose continuous improvement initiatives.</li><li>Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.</li><li>Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity &amp; access. (Design + implementation)</li><li>Strong infrastructure background: on-prem compute/virtualisation (VMware/HyperV), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.</li><li>Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).</li><li>Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep &mdash; creating reusable modules and automating deployments.</li><li>Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.</li><li>Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity &amp; security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).</li><li>Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.</li><li>Good communication and presentation skills &mdash; able to engage with senior stakeholders and translate business needs into technical architecture.</li><li>Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.</li><li>Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: AED350,000.00 - AED450,000.00 per year</p><p>License/Certification:</p><ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect with AI-ML Knowledge

Visionary Tech Services LLC

<div><p>We are undertaking an AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.</p><p>
The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.</p><p>
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.</p><p>
We are seeking an Infrastructure &amp; AI Cloud Solution Architect to design, assess, and recommend the scalable, secure, and cost-efficient infrastructure architecture required to support AI workloads across Customer&rsquo;s cloud and on-prem environments. The role ensures the AI Transformation Assessment captures realistic technical dependencies, cost implications, and readiness gaps&mdash;bridging strategy and implementation planning.
</p><p>It will work with the Customer Technology Office to align and re-enforce architecture standards for integration of third-party services; optimising performance and cost-efficiency for the chosen AI platforms and technologies.</p><p><b>
Expected Outcomes of this role</b></p><ul><li>A validated <b>infrastructure assessment</b> report outlining current capabilities, gaps, and readiness for AI workloads.</li><li>A proposed <b>target architecture design</b> and roadmap supporting the AI Transformation Plan.</li><li>Cost and effort inputs feeding into the <b>Business &amp; Investment Case</b>.</li></ul><p>
Documented <b>recommendations and risks</b> for infrastructure scalability, resilience, and vendor integrations.</p><p><b>
Key Duties &amp; Responsibilities:</b></p><p><b>
Design and maintain complex financial models</b> capturing cost structures, effort estimates, productivity gains, and long-term ROI across multiple departments.</p><p><b>
Conduct baseline financial assessments</b> of current operations, identifying cost inefficiencies and potential automation savings.</p><p><b>
Develop scenario projections</b> (Conservative, Base, Ambitious) that illustrate investment pathways, payback periods, and breakeven points.</p><p><b>
Quantify tangible and intangible benefits</b>, including efficiency gains, risk reduction, workforce redeployment, and audience growth impact.</p><p><b>
Consolidate all quantitative findings</b> into a robust and defensible <b>Business &amp; Investment Case</b>, supported by sensitivity and risk analyses.</p><p><b>
Partner </b>with the AI Project Manager, Business Analysts, Technical SMEs, and Department Heads to validate assumptions and align financial outputs with operational realities.</p><p><b>
Prepare executive-ready dashboards and summaries</b>, translating analytical results into actionable insights for decision-makers.</p><p><b>
Support Steering Committee presentations</b> by articulating key financial narratives, trade-offs, and recommendations.</p><p><b>
Requirements</b></p><p><b>
10+ years</b> of experience in infrastructure or cloud architecture.</p><p>
Hands-on experience working in <b>data, or digital transformation projects</b>.</p><p>
Demonstrated strong expertise in designing <b>AI/ML-ready environments</b>, including Cloud GPU/compute orchestration, data pipelines, and storage optimisation.</p><ul><li>Strong background in <b>hybrid cloud architecture</b> (cloud + on-prem integration) and API-driven ecosystems.</li><li>Proven ability to translate business and AI requirements into <b>scalable technical designs and cost-efficient infrastructure solutions</b>.</li><li>Excellent understanding of <b>security, compliance, and data governance</b> in enterprise AI deployments.</li><li>Exceptional communication skills, with the ability to collaborate across technical and non-technical stakeholders.</li></ul><p></p><p><b>
Desirable Qualifications / Skills:</b></p><p></p><ul><li><br>
Active <b>Cloud Certifications</b> in Microsoft Azure and <b>AWS </b>(Professional-Level)</li><li>Hands on<b> AWS Cloud Design</b> and implementation.</li><li><b>Natural Language Processing (NLP):</b> process queries, and generate human-like text responses &ndash; Including Sentiment Analysis applications</li><li>Experience with <b>MLOps, DataOps, or automation frameworks</b> is highly desirable.</li><li><b>Generative AI Expertise:</b> Experience designing and architecting AI Infrastructure with LLMs, text-to-image/video, and creative AI tools for media workflows.</li><li><b>Data &amp; MLOps:</b> Strong in ETL pipelines, real-time streaming, and ML lifecycle management architecture design.</li><li><b>Media Infrastructure Knowledge:</b> Understanding of MAM/DAM systems, metadata, transcoding, and integration of streaming protocols is a plus</li><li><b>Cloud &amp; GPU Architecture:</b> Skilled in multi-cloud (AWS/Azure/GCP) and GPU-based AI infrastructure design within Air-Gapped sovereign environments</li></ul><p></p><p><b>
Contractual Duration:</b> Short-term contract for a period of 3 weeks.</p></div>

Infrastructure & AI Cloud Solution Architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Contango

<div><p><b>About the Role</b></p><p>
The future of AI doesn&rsquo;t just depend on smarter models, it depends on the systems that bring them to life.<br>
We&rsquo;re building those systems.<br>
As an AI Systems Engineer, you&rsquo;ll design and deploy intelligent architectures powered by LLMs, multi-agent systems, and RAG pipelines. You&rsquo;ll operate where AI research meets real-world engineering, transforming cutting-edge ideas into scalable products that automate complex business processes and deliver measurable impact.</p><p>
This is a hands-on role for builders who love both innovation and execution - crafting autonomous AI workflows, integrating diverse APIs, and deploying production-grade AI systems in modern SaaS environments.</p><p><b><br>
Key Responsibilities</b></p><ul>
<li>
Architect and build end-to-end AI solutions leveraging LLMs, LangGraph, and FastAPI, enabling intelligent automation for enterprise-scale applications</li>
</ul><ul><li>Design, build, and optimize multi-agent frameworks for coordination, tool use, and autonomous reasoning. Implement StateGraph or similar orchestration frameworks for complex, interdependent workflows</li>
<li>Develop and deploy RAG systems using Azure AI Services or equivalent &mdash; handling document ingestion, vector database integration, and context-aware retrieval for personalized user experiences</li>
<li>Create conversational AI agents that understand multi-turn context, perform task automation (e.g., candidate/job creation, document summarization), and enhance decision-making through natural interaction</li>
<li>Integrate diverse APIs (e.g., Recall.ai, Deepgram, CRM or HR systems) for seamless, end-to-end automation across business platforms</li>
<li>Monitor and improve latency, accuracy, and scalability of AI pipelines. Define evaluation metrics for agent performance, retrieval precision, and generative reliability</li>
<li>Work closely with product, data, and backend teams to define AI features, assess feasibility, and align technical solutions with business goals</li>
</ul><p><b>
Candidate Requirements</b></p><ul>
<li>Proven experience designing, building, and shipping AI-powered features that solve real business problems</li>
<li>An experimental, curious mindset with a drive to tackle open-ended challenges.</li>
<li>Deep, hands-on familiarity with the modern AI stack &mdash; RAG, vector databases, prompt engineering, fine-tuning, and evaluation frameworks</li>
<li>Ability to balance innovation and reliability, grounding cutting-edge research in scalable, production-ready systems</li>
</ul><p><b>
Expertise in one or both areas</b></p><ul>
<li>
Software Engineering &amp; Systems Design &ndash; Strong Python skills, experience building scalable APIs/services (e.g., FastAPI, Django), and solid understanding of infrastructure, CI/CD, and system design</li>
<li>ML Engineering &amp; Research &ndash; Proficiency in ML frameworks (PyTorch, TensorFlow, Hugging Face) with a strong grasp of model architecture, training, and optimization</li>
</ul><p><b>
Disclaimer:</b></p><p>
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</p></div>

Senior AI Engineer

Confidential

<div>
 <p>
  We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.
 </p>
 <p>
 </p>
 <p>
  <strong>
   ROLES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
  </li>
  <li>
   Develop and implement sophisticated ETL processes integrating diverse data sources.
  </li>
  <li>
   Design and execute complex data models using statistical and machine learning techniques.
  </li>
  <li>
   Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
  </li>
  <li>
   Manage, mentor, and grow a team of data scientists and BI developers.
  </li>
  <li>
   Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
  </li>
  <li>
   Collaborate with business units to translate complex data insights into actionable business strategies.
  </li>
  <li>
   Champion the use of data science in identifying new business opportunities and revenue streams.
  </li>
  <li>
   Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
  </li>
  <li>
   Explore the use of artificial intelligence (AI) and big data solutions to improve the airport&rsquo;s commercial decision-making processes.
  </li>
  <li>
   Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
  </li>
  <li>
   Conduct end-to-end data analysis, modelling, and experimentation using Databricks&rsquo; unified data analytics platform.
  </li>
  <li>
   Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
  </li>
  <li>
   Build and optimize data science models to support business decisions and operational improvements.
  </li>
  <li>
   Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
  </li>
  <li>
   Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
  </li>
  <li>
   Optimize workflows for big data applications and automate recurring data tasks.
  </li>
  <li>
   Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
  </li>
  <li>
   Lead discussions on best practices and the integration of Databricks for different teams across the organization.
  </li>
  <li>
   Foster a collaborative environment by sharing insights and promoting data science across departments.
  </li>
  <li>
   Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
  </li>
  <li>
   Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
  </li>
  <li>
   Ensure scalability and performance of models in production, including real-time scoring and retraining.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical skills required
  </strong>
 </p>
 <ul>
  <li>
   Natural Language Processing (NLP) deployment
  </li>
  <li>
   Machine Learning (Azure Databricks)
  </li>
  <li>
   ML experiments and training
  </li>
  <li>
   Deployment of production (MLOps)
  </li>
  <li>
   Take end to end ownership of all ML features
  </li>
  <li>
   Recommendation systems
  </li>
  <li>
   AI Software Engineering
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION AND EXPERIENCE
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
  </li>
  <li>
   Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
  </li>
  <li>
   Proficiency in Databricks and Spark for large-scale data processing.
  </li>
  <li>
   Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
  </li>
  <li>
   Expertise in Python, Scala, or R for data science tasks.
  </li>
  <li>
   Experience with cloud platforms ( Azure) and Databricks&rsquo; cloud infrastructure.
  </li>
  <li>
   Excellent problem-solving and analytical thinking.
  </li>
  <li>
   Strong collaboration and communication skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an experienced Power Platform Lead to architect, implement, and govern the enterprise-wide automation and low-code initiatives using Microsoft's Power Platform ecosystem (Power Apps, Power Automate, Power BI, Copilot Studio, and Dataverse).<br>
The ideal candidate will be responsible for driving end-to-end automation delivery, defining fitment and adoption strategy, and ensuring alignment between business needs and technology solutions. This role demands a blend of technical depth, leadership maturity, and stakeholder engagement skills to transform automation practices across the organization.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Automation Architecture &amp; Platform Leadership
</p></div><div><p>Architect, design, and implement enterprise-grade automation solutions using Power Apps, Power Automate, and Copilot Studio.
</p></div><div><p>Define and enforce Power Platform governance, solution design principles, and environment strategies.
</p></div><div><p>Oversee implementation of Dataverse data models, connectors, and integration logic for cross-system workflows.
</p></div><div><p>Manage lifecycle of Power Platform solutions from ideation to productionization, ensuring scalability, performance, and compliance.
</p></div><div><p>Enterprise Integration &amp; Fitment Definition
</p></div><div><p>Lead fitment assessment discussions for new business process automation use cases.
</p></div><div><p>Evaluate system interdependencies and define integration architecture between Power Platform, ERP, CRM, and custom applications.
</p></div><div><p>Collaborate with enterprise architects to establish integration patterns leveraging APIs, Microsoft Graph, and Azure connectors.
</p></div><div><p>Drive adoption of Copilot Studio agents for conversational automation and AI-based process augmentation.
</p></div><div><p>Leadership &amp; Delivery Management
</p></div><div><p>Lead cross-functional low-code development teams, ensuring technical quality and delivery efficiency.
</p></div><div><p>Define delivery frameworks, reusable components, and best practices for citizen and professional developers.
</p></div><div><p>Mentor team members on design, reusability, and governance across environments (Dev, Test, Prod).
</p></div><div><p>Act as the technical authority and escalation point for Power Platform development challenges.
</p></div><div><p>Stakeholder Engagement &amp; Business Partnership
</p></div><div><p>Engage with business stakeholders to translate process requirements into technical automation blueprints.
</p></div><div><p>Facilitate workshops and design sessions to identify automation opportunities and evaluate ROI.
</p></div><div><p>Communicate solution strategies and progress to executive and business sponsors.
</p></div><div><p>Ensure alignment of Power Platform strategy with organizational digital transformation roadmap.
</p></div><div><p>Innovation &amp; Continuous Improvement
</p></div><div><p>Promote AI-infused automation, leveraging Microsoft Copilot and AI Builder capabilities.
</p></div><div><p>Identify opportunities to optimize cost, performance, and maintainability of solutions.
</p></div><div><p>Stay abreast of Microsoft Power Platform roadmap and integrate emerging features proactively.
</p></div><div><p>Foster a culture of reusability and low-code enablement across business functions.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
</p></div><div><p>10+ years of overall experience in application development and 5+ years in Power Platform technical lead position.
</p></div><div><p>Proven expertise in Microsoft Power Platform &mdash; Power Apps (Canvas &amp; Model-driven), Power Automate, Power BI, Dataverse, and Copilot Studio.
</p></div><div><p>Strong understanding of automation fitment, governance frameworks, and Center of Excellence (CoE) models.
</p></div><div><p>Hands-on experience integrating Power Platform with SharePoint, Azure, SQL Server, and enterprise systems (Oracle/CRM).
</p></div><div><p>Proficiency in PowerFX, SQL, and basic scripting for automation orchestration.
</p></div><div><p>Demonstrated experience in leading multi-team delivery, managing sprints, and ensuring high-quality output.
</p></div></div><p>Nice to have
</p><div><div><p>Strong stakeholder management and executive communication.
</p></div><div><p>Ability to bridge business needs with technology capabilities.
</p></div><div><p>Excellent problem-solving, decision-making, and conflict-resolution skills.
</p></div><div><p>Strategic thinker with a delivery-focused mindset.
</p></div><div><p>Proven leadership in team mentorship and talent development
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Power Platform Solution Architect Expert (PL-600)
</p></div><div><p>Microsoft Certified: Power Platform Developer (PL-400)
</p></div><div><p>Microsoft Certified: Power Platform Functional Consultant (PL-200)
</p></div><div><p>Microsoft Certified: Power Platform Fundamentals (PL-900)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118725
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>19/11/2025
</p></div><div><p>Req. VR-118725</p></div></div></div><p></p>

Automation Power Platform Lead

Farah Experiences

<div><p><b>Join Us at Miral Experiences
</b></p><p>At <b>Miral Experiences </b>, we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create <b>extraordinary moments </b>. As part of the visionary <b>Miral Group </b>, we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including <b>Ferrari World Abu Dhabi </b>, <b>Warner Bros. World Abu Dhabi </b>, <b>Yas Waterworld </b>, and <b>SeaWorld Yas Island </b>.
</p><p>We are passionate about delivering <b>unforgettable guest experiences </b>and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
</p><p>If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to <b>memorable experiences for millions </b>&acirc;&euro;&rdquo; then <b>Miral Experiences is the place for you </b>.
</p><p><b>About the Role
</b></p><p>Are you a data visionary ready to lead the charge in transforming business decisions through AI and advanced analytics? At Miral, we&acirc;&euro;&trade;re building the future of leisure and entertainment &acirc;&euro;&rdquo; and data is at the heart of it. As our <b>Data Science Senior Manager </b>, you&acirc;&euro;&trade;ll drive high-impact projects, mentor a brilliant team, and deploy cutting-edge solutions in our cloud-first ecosystem.
</p><p><b>What You'll Do
</b></p><ul><li>Lead end-to-end data science projects &acirc;&euro;&rdquo; from ideation to deployment &acirc;&euro;&rdquo; using ML, causal inference, and time-series analysis.
</li><li>Design and implement models that uncover trends, optimize performance, and unlock new revenue opportunities.
</li><li>Collaborate with business leaders to turn insights into action and shape data-driven strategies.
</li><li>Coach and mentor data scientists, building a culture of innovation and excellence.
</li><li>Work closely with data engineering and intelligence teams to operationalize solutions in Azure and Snowflake.
</li><li>Advocate for smarter data structures and analytics platforms to future-proof our tech stack.
</li></ul><p><b>What You Bring
</b></p><p><b>Education &amp; Experience
</b></p><ul><li>Master&acirc;&euro;&trade;s in Data Science, Applied Math, or related field (PhD is a plus).
</li><li>8+ years of hands-on experience in data science, analytics, or AI.
</li></ul><p><b>Technical Skills
</b></p><ul><li>Expert in Python, R, SQL, and distributed databases (Snowflake, HQL).
</li><li>Deep knowledge of ML techniques (clustering, neural nets, decision trees).
</li><li>Proficient in Azure tools: DataBricks, AzureML, ADF, ADLS.
</li><li>Strong grasp of statistical modeling, hypothesis testing, and causal analysis.
</li><li>Familiarity with Agentic AI platforms (n8n, Agent Bricks) is a bonus.
</li></ul><p><b>Soft Skills
</b></p><ul><li>Strategic thinker with a product mindset.
</li><li>Excellent communicator and cross-functional collaborator.
</li><li>Proven leadership in diverse, agile teams.
</li></ul><p><b>Ready to Make an Impact?
</b></p><p>If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. <b>Apply now </b>and take the next step in your career with <b>Miral Experiences </b>&acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</p></div>

Data Science Senior Manager

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