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The Cigna Group

<div><p><b>Data Science Senior Analyst</b></p><p><b>
Job Objective</b></p><p>
We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.</p><p>
This role is primarily focused on the UAE, with occasional regional coverage across the Middle East. It delivers advanced data analytics and agentic AI-enabled solutions across healthcare domains &ndash; including provider services, clinical operations, healthcare network, and payment integrity &ndash; to generate insights that are clinically relevant, operationally actionable, and aligned with value-based care outcomes. In close partnership with peers across the Technology organization, the role is accountable for development and deployment of agentic AI and machine-learning systems, ensuring adherence to data privacy, data residency, and ethical AI standard.</p><p>
This is an opportunity for a strong data scientist professional to demonstrate deep technical expertise and business acumen by translating complex data into actionable insights and scalable data products that drive measurable value for health insurance stakeholders.</p><p><b>
Job Responsibilities</b></p><ul><li>
Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches</li><li>
Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, optimize healthcare networks, improve care delivery outcomes, and strength payment integrity</li><li>
Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products</li><li>
Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.</li><li>
Design, curate, and maintain high-quality provider datasets by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases</li><li>
Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products</li><li>
Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data</li><li>
Collaborate with Data Governance and AI Governance teams to ensure compliance with UAE data protection and AI governance requirements, including data privacy, data residency, and responsible AI principles, drawing on hands‑on experience delivering analytics or AI solutions in regulated environments</li></ul><p><b>
Requirements</b></p><ul><li>
Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines</li><li>
Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics</li><li>
Hands-on experience with Python for data analysis and modeling</li><li>
Experience working with SQL and NoSQL databases</li><li>
Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent</li><li>
Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns</li><li>
Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases</li><li>
Solid knowledge of UAE AI governance and data protection frameworks, with practical experience applying responsible AI principles such as data governance, transparency, risk management, and human‑in‑the‑loop oversight, across analytics or AI initiatives</li><li>
Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; additional languages are an advantage</li></ul><p></p><p><b>
About Cigna Healthcare</b></p><p></p>
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.<p></p><p><i>
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.</i></p><p></p><p><i>
If</i><i> you require reasonable accommodation in completing the online application process, please email: </i><i>SeeYourselfEMEA@cigna.com</i><i> for support. Do not email </i><i>SeeYourselfEMEA@cigna.com</i><i> for an update on your application or to provide your resume as you will not receive a response.</i></p></div>

Data Scientist Senior Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
<br><div>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera&rsquo;s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br>
<br>
<b>Required Experience:</b>
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
<br>
<b>Required Skills &amp; Competencies:</b>
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
<br>
<b>Nice-to-have/Preferred:</b>
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
<br>
<b>Benefits-</b>
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

ORO24 DEVELOPMENTS LLC

<p><b>Job Summary</b></p><p>The Software Product Analyst acts as the bridge between business stakeholders and the technology team. This role is responsible for analyzing business needs, evaluating software solutions, defining product requirements, and supporting the delivery of technology products that meet organizational objectives.</p><p><b>Key Responsibilities</b></p><ul><li>Gather, analyze, and document business and functional requirements from stakeholders.</li><li>Translate business needs into clear product specifications, user stories, and acceptance criteria.</li><li>Conduct gap analysis between existing systems and desired product capabilities.</li><li>Work closely with development, QA, and design teams throughout the product lifecycle.</li><li>Evaluate and assess third-party software solutions and vendor proposals.</li><li>Manage and maintain the product backlog in collaboration with the Product Manager.</li><li>Facilitate workshops, meetings, and reviews with business units and technical teams.</li><li>Create and maintain product documentation including process flows, wireframes, and user manuals.</li><li>Track and report on product performance metrics and KPIs post-deployment.</li><li>Support UAT (User Acceptance Testing) and coordinate feedback cycles.</li></ul><p><b>Qualifications &amp; Experience</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Business Analysis, or a related field.</li><li>3&ndash;5 years of experience in a software product analyst, business analyst, or similar role.</li><li>Strong understanding of software development lifecycles (SDLC) and Agile/Scrum methodologies.</li><li>Proficiency in requirements management and project tracking tools (e.g., JIRA, Confluence, Azure DevOps).</li><li>Familiarity with UI/UX concepts and ability to create wireframes or process flows.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Analytical mindset with strong problem-solving abilities.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with ERP, CRM, or enterprise software platforms.</li><li>Knowledge of API integrations and data flow concepts.</li><li>Familiarity with tools such as Figma, Lucidchart, or Visio.</li><li>Product management certifications (CSPO, CBAP, or equivalent) are an advantage.</li></ul><p>Work Location: In person</p>

Software Product Analyst

Almaimana Accounting and Bookkeeping

<p><b>Location:</b> Remote / Dubai, UAE (Project-Based)<br/><b>Employment Type:</b> Freelance / Contract<br/><b>Department:</b> Technology &amp; Digital Innovation</p><p>Job Summary</p><p>We are seeking a talented and experienced Freelance AI Engineer to design, develop, and implement Artificial Intelligence (AI) solutions on a project basis. The ideal candidate will have hands-on experience in Machine Learning, Generative AI, Natural Language Processing (NLP), AI automation, and Large Language Models (LLMs). The role requires the ability to work independently, manage project timelines, and deliver scalable AI solutions aligned with business objectives.</p><p>Key Responsibilities</p><ul><li>Develop and deploy AI-powered applications, chatbots, virtual assistants, and automation solutions.</li><li>Build and fine-tune Machine Learning and Deep Learning models.</li><li>Design and implement Generative AI solutions using Large Language Models (LLMs).</li><li>Integrate AI solutions with websites, mobile applications, ERP systems, and business platforms.</li><li>Develop Retrieval-Augmented Generation (RAG) systems and AI agents.</li><li>Analyze business requirements and recommend suitable AI technologies.</li><li>Prepare technical documentation and deployment guides.</li><li>Conduct testing, troubleshooting, and optimization of AI applications.</li><li>Ensure data security, privacy, and compliance with industry best practices.</li><li>Provide post-deployment support and maintenance when required.</li></ul><p>Required Qualifications</p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field (preferred).</li><li>Proven experience in AI/ML development and deployment.</li><li>Strong proficiency in Python and AI development frameworks.</li><li>Experience with Generative AI platforms and APIs.</li><li>Knowledge of NLP, Machine Learning, and Deep Learning techniques.</li><li>Experience integrating AI solutions through APIs and cloud services.</li><li>Strong problem-solving and communication skills.</li><li>Ability to work independently and meet project deadlines.</li></ul><p>Technical Skills</p><ul><li>Python</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>OpenAI, Gemini, Claude, or similar AI platforms</li><li>LangChain, LlamaIndex</li><li>RAG Architecture and AI Agents</li><li>SQL and NoSQL Databases</li><li>Vector Databases (Pinecone, ChromaDB, Weaviate)</li><li>REST APIs</li><li>Docker and Cloud Platforms (AWS, Azure, GCP)</li><li>Git Version Control</li></ul><p>Preferred Experience</p><ul><li>AI Chatbot Development</li><li>Intelligent Document Processing (IDP)</li><li>OCR and Computer Vision Applications</li><li>Business Process Automation</li><li>Predictive Analytics and Data Science Projects</li><li>MLOps and Model Deployment</li></ul><p>Deliverables</p><p>The selected freelancer may be required to:</p><ul><li>Develop custom AI applications.</li><li>Create AI-powered customer support solutions.</li><li>Automate business processes using AI.</li><li>Build intelligent document management systems.</li><li>Integrate AI models with existing software platforms.</li><li>Provide training and knowledge transfer to internal teams.</li></ul><p>Contract Terms</p><ul><li>Project-based or hourly engagement.</li><li>Flexible working hours.</li><li>Remote work arrangement.</li><li>Payment based on agreed milestones and deliverables.</li><li>Opportunity for long-term collaboration on future AI projects.</li></ul><p>How to Apply</p><p>Interested candidates should submit:</p><ul><li>Updated CV/Resume</li><li>Portfolio of AI projects</li><li>GitHub or relevant technical profiles</li></ul><p><b>Only candidates with demonstrated experience in AI development and successful project delivery will be considered.</b></p><p>Application Question(s):</p><ul><li>What is your expected Salary?</li><li>Can you join immediately after selection?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Work Location: In person</p>

Freelance AI Engineer

WSP in the Middle East

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 WSP Middle East are seeking an experienced
 <strong>
  AI Business Partner &ndash; Shared Services
 </strong>
 to lead the strategic transformation of core operational functions through the application of AI, automation, and advanced analytics.
 <br/>
 <br/>
 This is a senior, delivery-focused role responsible for identifying, prioritising, and implementing AI-driven solutions across Shared Services&mdash;including Finance, HR, Procurement, IT, and Legal. The role operates at a regional level, while aligning with global strategies, platforms, and standards to ensure consistency and scalability across WSP.
 <br/>
 <br/>
 In parallel, the role will lead the AI capability and learning agenda across the organisation, ensuring that teams across all functions are equipped to adopt and apply AI effectively in their day-to-day work.
 <br/>
 <br/>
 This position requires a hands-on leader with strong finance transformation experience, combined with the ability to operate across multiple functions and drive outcomes at scale.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Strategic Partnership &amp; Transformation Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Shared Services and business unit leadership to define and deliver a clear AI-enabled transformation roadmap.
  </li>
  <li>
   Translate operational and functional challenges into structured, high-impact AI use cases aligned to business priorities.
  </li>
  <li>
   Build and manage a pipeline of initiatives from identification through to deployment and scale.
  </li>
  <li>
   Ensure regional solutions are aligned with global platforms, governance, and technology standards.
  </li>
  <li>
   Represent Shared Services within enterprise AI governance and transformation forums.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Finance Transformation &amp; Intelligent Operations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the application of AI across core Finance processes
  </li>
  <li>
   Drive improvements through AI-led automation, predictive analytics, anomaly detection, and intelligent workflows.
  </li>
  <li>
   Enable a transition towards forward-looking, insight-driven finance operations, reducing dependency on manual processes.
  </li>
  <li>
   Ensure all initiatives are aligned with audit, compliance, and internal control requirements.
  </li>
  <li>
   Embed value tracking and performance discipline across all Finance-focused initiatives.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Capability &amp; Learning Enablement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the development and rollout of AI capability programmes across WSP Middle East, delivered through Shared Services and applied across all business units.
  </li>
  <li>
   Develop role-based learning pathways that move beyond awareness into practical application and adoption.
  </li>
  <li>
   Create toolkits, guidance, and enablement frameworks that embed AI into everyday workflows.
  </li>
  <li>
   Establish communities of practice and champion networks to drive sustained capability growth.
  </li>
  <li>
   Integrate AI learning into onboarding, development, and performance frameworks.
  </li>
  <li>
   Track adoption, capability uplift, and business impact, continuously refining the approach.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Delivery &amp; Implementation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end delivery of AI initiatives&mdash;from business case through to deployment and value realisation.
  </li>
  <li>
   Drive adoption of Generative AI, RPA, process mining, intelligent document processing, and advanced analytics across Shared Services
  </li>
  <li>
   Ensure solutions are scalable, secure, and aligned with enterprise architecture and data standards.
  </li>
  <li>
   Coordinate delivery across multi-country, matrixed environments, balancing local needs with global alignment.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Change Management &amp; Adoption
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure strong adoption of AI solutions through structured change and engagement approaches.
  </li>
  <li>
   Lead communication strategies, stakeholder alignment, and behavioural change initiatives.
  </li>
  <li>
   Build organisational confidence in AI as a practical enabler of day-to-day work.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance, Risk &amp; Performance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Establish governance aligned with Finance, Audit, and Shared Services requirements.
  </li>
  <li>
   Ensure compliance with data privacy, regulatory, and intellectual property standards.
  </li>
  <li>
   Define and track KPIs, benefits realisation, and programme performance.
  </li>
  <li>
   Deliver clear, executive-level reporting on outcomes and progress.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 12 years&rsquo; experience in business or finance transformation, with clear delivery accountability.
  </li>
  <li>
   Strong track record in Finance transformation, including implementation of AI, automation, or data-driven solutions.
  </li>
  <li>
   Degree in Finance, Accounting, Business, or related discipline; professional qualification (CPA, ACCA, CIMA, CFA) preferred.
  </li>
  <li>
   Deep understanding of Finance operations, controls, and performance management.
  </li>
  <li>
   Experience working within Shared Services, GBS, or similar operating models.
  </li>
  <li>
   Experience delivering capability or learning programmes linked to digital or AI adoption.
  </li>
  <li>
   Strong stakeholder management, with the ability to engage senior leadership and operational teams.
  </li>
  <li>
   Experience working in regional roles with global alignment requirements.
  </li>
  <li>
   Hands-on approach with accountability for delivery, adoption, and outcomes
  </li>
  <li>
   Experience with AI and automation platforms (e.g. Microsoft Copilot, Power Automate, UiPath or equivalent).
  </li>
  <li>
   Strong understanding of data and analytics tools (Power BI, Tableau).
  </li>
  <li>
   Exposure to process mining and workflow optimisation tools.
  </li>
  <li>
   Knowledge of ERP systems (SAP, Oracle, or equivalent).
  </li>
  <li>
   Understanding of data governance, security, and compliance within Finance environments
  </li>
  <li>
   Background in a professional services, engineering, or consulting environment.
  </li>
  <li>
   Exposure to AI applications across HR, Procurement, IT, or Legal functions.
  </li>
  <li>
   Familiarity with Middle East operating environments.
  </li>
  <li>
   Experience in operating model or Shared Services transformation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Capability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI and automation platforms (e.g. Microsoft Copilot, Power Automate, UiPath or equivalent).
  </li>
  <li>
   Strong understanding of data and analytics tools (Power BI, Tableau).
  </li>
  <li>
   Exposure to process mining and workflow optimisation tools.
  </li>
  <li>
   Knowledge of ERP systems (SAP, Oracle, or equivalent).
  </li>
  <li>
   Understanding of data governance, security, and compliance within Finance environments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Background in a professional services, engineering, or consulting environment.
  </li>
  <li>
   Exposure to AI applications across HR, Procurement, IT, or Legal functions.
  </li>
  <li>
   Familiarity with Middle East operating environments.
  </li>
  <li>
   Experience in operating model or Shared Services transformation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join WSP
  <br/>
  <br/>
 </strong>
 WSP is a leading global professional services firm, delivering advisory, design, and engineering solutions across the built environment.This role offers the opportunity to shape how AI is applied across core business operations, improving efficiency, strengthening decision-making, and building long-term organisational capability across the region.
 <br/>
 <br/>
 Imagine a better future for you and a better future for us all.
 <br/>
 <br/>
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 <br/>
 <br/>
 <strong>
  With us, you can. Apply today.
 </strong>
</div>


Artificial Intelligence (AI) Business Partner – Shared Services

Ecolab

<div><div><div><p>A trusted partner for millions of customers, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on more than a century of innovation, Ecolab has annual sales of $16 billion, employs approximately 48,000 associates and operates in more than 170 countries around the world. The Middle East and Africa Market is one of our highest-potential growth markets, and we are investing to accelerate that growth through Enterprise AI, data, and digital innovation.</p></div><p></p><div><p><br>
As our <b>Enterprise Ai - Business Engagement Leader</b> <b>&ndash; Middle East Africa</b>, you will be at the centre of the MEA market leadership team and serve as the senior link between Ecolab&rsquo;s <b>Enterprise AI</b> organisation and the Divisions, Functions, and country leaders driving growth across the region. You will fuel the MEA growth agenda with technology and AI-enabled business outcomes &mdash; accountable for the delivery of solutions, from idea to value capture.</p></div><p></p><div><p><b>
What&rsquo;s in it For You</b></p></div><div><ul><li><p><b>
Lead the Enterprise AI</b><b> </b><b>agenda</b> for one of Ecolab&rsquo;s highest-potential international markets</p></li></ul></div><div><ul><li><p><b>
Own end-to-end delivery of AI, data, and digital solutions</b> that directly accelerate top-line and margin growth across MEA</p></li></ul></div><div><ul><li><p><b>
Partner with senior Market, Division, and Function leaders</b> as a trusted commercially aware technology advisor</p></li></ul></div><div><ul><li><p><b>
Shape technology strategy, investment prioritisation, and value capture</b> inside a $16B global sustainability leader</p></li></ul></div><div><ul><li><p><b>
Influence Enterprise-wide AI and digital strategy</b> while owning local growth outcomes</p></li></ul></div><div><ul><li><p><b>
Build and develop a high-performing team</b> of business process analysts and digital talent across the region</p></li></ul></div><div><ul><li><p><b>
Competitive total rewards</b>, comprehensive benefits, and global career mobility within Ecolab</p></li></ul></div><p></p><div><p><b>
What You Will Do</b></p></div><div><p><b>
Strategic Partnership &amp; Growth Alignment</b> &mdash; Build strong partnering relationships with MEA business and function leaders to understand their growth ambitions, commercial priorities, and operational challenges. Align Ecolab&rsquo;s Technology strategy with the MEA market growth strategy, leveraging technology, AI, and analytics to unlock new revenue, expand share, and improve customer outcomes. Act as a trusted advisor and advocate for the business divisions and functions.</p></div><div><p><b>
Solutions</b><b> </b><b>Accountability</b> &mdash; Own the delivery of value stream solutions for MEA &mdash; from demand intake and business case, through design, build, deployment, adoption, and value realisation. Hold global delivery teams, partners, and local stakeholders to outcomes, schedule, cost, and quality; remove blockers; and ensure committed business value is captured and reported.</p></div><div><p><b>
I</b><b>T Project Portfolio Management</b> &mdash; Bring visibility and prioritisation to the portfolio of Enterprise AI and digital projects supporting MEA business and function activities. In line with global governance processes, establish project priorities, secure resource availability, and monitor progress to ensure timely and successful delivery. Manage stakeholder expectations and resolve issues and risks proactively.</p></div><div><p><b>
Digital &amp; AI Investment Management</b> &mdash; Work with MEA business leaders to determine Enterprise AI and digital investment levels based on growth opportunity, organisational priorities, and budgetary considerations. Provide recommendations on technology investments, cost optimisation, and resource allocation to maximise commercial value and ROI.</p></div><div><p><b>
Business Relationship Management</b> &mdash; Serve as the primary point of contact for MEA business and function leaders on Enterprise AI, data, and digital topics. Drive effective communication, manage expectations, and address systemic issues, escalations, and enhancement requests related to applications, infrastructure, and digital services.</p></div><div><p><b>
Service Delivery Assurance</b> &mdash; Oversee Enterprise AI and Digital service and support processes for the MEA business. Proactively track service levels, drive process improvement, and act as the escalation point for service topics that impact the growth agenda.</p></div><div><p><b>
Demand Intake &amp; Prioritisation</b> &mdash; Filter and prioritise MEA project requests before the PMO intake process starts. Verify budget exists in the business or Enterprise Ai plan, and confirm business resource readiness. Keep Enterprise AI resources focused on the highest-value, growth-aligned work.</p></div></div><div><div><p><b>
Governance, Security &amp; Architecture</b> &mdash; Ensure 100% Security and Enterprise Architecture sign-off on MEA projects. Drive adoption of standard, secure enterprise platforms that unlock data and AI opportunities at scale and protect the business.</p></div><div><p><b>
Talent &amp; Team Leadership</b> &mdash; Lead, coach, and develop market-aligned business process analysts and digital talent. Drive a strong Enterprise AI culture across the MEA team in line with the Ecolab leadership model, managing by influence across the broader Enterprise AI organisation.</p></div><p></p><div><p><b>
Position Details</b></p></div><div><ul><li><p><b>
Location:</b> Middle East and Africa region (primary hub Dubai)</p></li></ul></div><div><ul><li><p><b>
Travel:</b> Regional travel across Middle East and Africa; periodic international travel for Enterprise AI and Markets leadership engagements</p></li></ul></div><div><ul><li><p><b>
Reporting line:</b> Solid-line to the Global Markets Business Engagement Leader, with close alignment to the MEA Market Head as a member of the MEA market leadership team</p></li></ul></div><div><ul><li><p><b>
Work model:</b> Full-time, hybrid</p></li></ul></div><p></p><div><p><b>
Minimum Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in a technical, business, or related field</p></li></ul></div><div><ul><li><p>
10+ years of relevant experience in IT, Digital, AI/Data, Business Analysis, Programme Management, or a similar leadership role</p></li></ul></div><div><ul><li><p>
Demonstrated accountability and track record for delivery of major technology or digital programmes in a multi-country, matrixed environment</p></li></ul></div><div><ul><li><p>
Proven business and commercial acumen &mdash; experience of partnering with senior business and function leaders, building business cases, and translating technology strategy into measurable growth outcomes</p></li></ul></div><div><ul><li><p>
Experience managing third-party technology service providers and global delivery partners against outcome-based commitments</p></li></ul></div><div><ul><li><p>
Strong written and spoken English</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience operating across the Middle East and/or Africa region, including working with local regulatory, cultural, and commercial environments</p></li></ul></div><div><ul><li><p>
Experience leading AI, data, and analytics initiatives that have delivered measurable commercial growth</p></li></ul></div><div><ul><li><p>
Experience in a global manufacturing, B2B services, or industrial environment</p></li></ul></div><div><ul><li><p>
Familiarity with enterprise platforms such as SAP/ERP, CRM, data and analytics, cloud, and security technologies</p></li></ul></div><div><ul><li><p>
Knowledge of Ecolab&rsquo;s industries &mdash; Institutional, Industrial, Healthcare, Life Sciences, Pest Elimination &mdash; is a plus</p></li></ul></div></div><div><div><ul><li><p>
Additional regional languages (Arabic, French) a plus</p></li></ul></div><div><ul><li><p>
Master&rsquo;s degree or equivalent (MBA, MSc) a plus</p></li></ul></div><p></p><div><p><b>
Key Skills &amp; Leadership Behaviours</b></p></div><div><ul><li><p><b>
Business and commercial acumen</b> &mdash; understands P&amp;L, growth levers, customer economics, and how technology and AI investments translate into commercial outcomes</p></li></ul></div><div><ul><li><p><b>
Growth mindset</b> &mdash; relentless focus on unlocking new revenue, market share, and productivity through Enterprise AI and digital</p></li></ul></div><div><ul><li><p><b>
O</b><b>wnership</b> &mdash; drives delivery from idea to adoption to value capture, with no hand-off gaps</p></li></ul></div><div><ul><li><p><b>
Leadership presence</b> to motivate and develop diverse, multi-country teams</p></li></ul></div><div><ul><li><p><b>
Manage by influence</b> &mdash; collaborates across global Enterprise AI groups to develop talent and drive results</p></li></ul></div><div><ul><li><p><b>
Focus and decisiveness</b> &mdash; enables action and progress even when faced with ambiguity</p></li></ul></div><div><ul><li><p><b>
Executive communication</b> &mdash; strong stakeholder management at C-suite and Market leadership level</p></li></ul></div><p></p><div><p><i>
Ecolab is committed to providing reasonable accommodation to qualified individuals with a disability.</i></p></div><p></p><div><p><b>
About Enterprise AI at Ecolab</b></p></div><div><p>
Enterprise AI is the technology and intelligence engine behind Ecolab&rsquo;s global growth &mdash; delivering the AI, data, platforms, and digital solutions that help our customers and our 48,000 associates operate cleaner, safer, and more sustainably in more than 170 countries. We combine the agility of an AI-first organisation with the scale and stability of a Fortune 500 enterprise, partnering closely with every Ecolab Division, Market, and Function to turn data and technology into measurable commercial growth.</p></div><div><p>
Join us, and help shape what comes next &mdash; for Ecolab, for our customers, and for the planet.</p></div></div><p><b><br>
Our Commitment to a Culture of Inclusion &amp; Belonging</b><br>
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.</p></div>

Business Engagement Leader

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Dubai (Flexible)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 9 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR111172</div></div></div></div></div></div><div><div><p>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.</p><p></p><p>
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.</p><p></p><div><p>
The <b>Genesys AI Architect</b> is a senior presales AI specialist who operates across three core motions:</p><ul><li>
Driving strategic AI opportunities with customers and sales teams
</li><li>Scaling the field through reusable assets, technical enablement, and coaching</li><li>
Shaping product and go-to-market direction through real-world customer and field feedback
</li></ul><p></p><p>This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.</p><p><b>
Key Responsibilities:</b></p><ul><li><p><b>
Design end-to-end AI systems for customer experience use cases.</b><b> </b>Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.</p></li><li><p><b>
Optimize retrieval-augmented</b><b> generation (RAG) and knowledge architectures to extend Genesys solutions where required</b>. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.</p></li><li><p><b>
Establish AI evaluation frameworks and quality measurement strategies</b>. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.</p></li><li><p><b>
Engineer contextual AI experiences </b><b>that leverage real-time</b><b> data and conversation state</b>. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.</p></li><li><p><b>
Design for scalability, latency, and cost efficiency in enterprise environments</b>. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.</p></li><li><p><b>
Leverage expert-level knowledge of Genesys AI capabilities</b><b> </b>to articulate and demonstrate product value to customers and prospects.</p></li><li><p><b>
Support pre-sales activities</b> such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.</p></li><li><p><b>
Design and </b><b>deploy AI prototypes in</b><b> sandbox</b><b> </b>and/or customer development environments to validate use cases, integrations, latency, and success criteria<b>,</b><b> </b>and to highlight the differentiated value of Genesys AI.</p></li><li><p><b>
Partner with account teams </b><b>and Professional</b><b> Services to transition successful prototypes into production pilots</b><b> </b>supporting technical handoff, hardening, KPI alignment, and business outcome validation.</p></li><li><p><b>
Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A</b> showcasing the art of the possible with Genesys Cloud AI solutions.</p></li><li><p><b>
Develop reusable technical assets</b><b> </b>and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.</p></li><li><p><b>
Provide technical feedback and strategic insights to Product Management and Engineering</b><b> </b>on AI product design, implementation considerations, and customer-driven enhancements.</p></li><li><p><b>
Influence CIO/CTO-level stakeholders and position Genesys</b> as integral to an organization&rsquo;s broader IT and transformation strategy.</p></li></ul><p></p><p><b>
Requirements:</b></p></div><div><ul><li><p><b>
AI Architecture &amp; Technical Judgment:</b> Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.</p></li><li><p><b>
Enterprise Integration &amp; Real-Time Design:</b> Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.</p></li><li><p><b>
Evaluation, Governance &amp; Observability:</b> Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.</p></li><li><p><b>
Executive Communication &amp; Field Enablement:</b> Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.</p></li><li><p><b>
Prompt Design &amp; AI Workflow Optimization</b>: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.</p></li><li><p><b>
Technical Demonstration Prowess:</b><b> </b>Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.</p></li><li><p><b>
Sales Acumen</b>: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.</p></li><li><p><b>
Business Value Orientation:</b> Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.</p></li><li><p><b>
Executive Presence:</b><b> </b>Proven ability to influence CIO/CTO decision-makers.</p></li><li><p>
Strong understanding of the Genesys Cloud platform and Genesys AI preferred.</p></li><li><p>
Foundational understanding of programming concepts (Python preferred).</p></li><li><p>
Fluency in English and Arabic languages.</p></li><li><p>
French language fluency as a plus.</p></li></ul><p></p><p>
#LI-MC1</p></div><p></p><p>
If a Genesys employee referred you, please use the link they sent you to apply.</p><p></p><p><b>
About Genesys:</b></p><p>
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.</p><p></p><p><b>
Reasonable Accommodations:</b></p><p>
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.</p><p></p><p>
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</p><p></p><p>
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.</p><p></p><p><b>
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or </b><b>expression, marital</b><b> status, domestic partner </b><b>status, national</b><b> origin, genetics, </b><b>disability, military</b><b> and veteran status, and other protected characteristics.</b></p><p></p><p><i>
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></p></div></div></div>

AI Solution Architect EMEA

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