senior field service engineer

Staples India

<div>
 Role Overview:
 
 We are hiring a Senior AI Engineer / Applied Scientist to build and scale ML systems powering ecommerce search, retrieval, and personalization. This is an 80% ML Engineering role focused on production systems, rapid experimentation, and measurable business impact.
 
 
 You will own end-to-end AI solutions across matching, retrieval, ranking, and GenAI-powered experiences, from prototyping to deployment at scale.
 
 
 Core Responsibilities
 
 Design, build, and improve ML models for:
 
 <ul>
 <li>
 Product matching / entity resolution
 
 </li>
 <li>
 Semantic retrieval and search relevance
 
 </li>
 <li>
 Ranking and recommendation systems
 
 </li>
 <li>
 Develop and optimize multi-stage ranking pipelines (candidate generation &rarr; ranking &rarr; re-ranking)
 
 </li>
 <li>
 Run experimentation frameworks (offline evaluation, A/B testing) to drive continuous improvement
 
 </li>
 <li>
 Apply reinforcement learning / bandits for personalization and ranking optimization
 
 </li>
 <li>
 Build and deploy GenAI and agentic AI systems for search, discovery, and content use cases
 
 </li>
 <li>
 Productionize ML systems using Databricks-based pipelines and deploy services via AKS (Azure Kubernetes Service)
 
 </li>
 <li>
 Design scalable, reliable ML infrastructure with focus on latency, throughput, and cost efficiency
 
 </li>
 <li>
 Monitor model performance and continuously iterate using MLOps/LLMOps best practices
 
 </li>
 <li>
 Independently scope ambiguous problems and drive them from idea &rarr; production
 
 
 
 </li>
 </ul>
 Requirements
 
 
 Required Qualifications
 
 5&ndash;8+ years of experience in ML Engineering / Applied AI
 
 
 Strong experience with:
 
 Search, retrieval, and ranking systems
 
 NLP / embeddings / deep learning models
 
 Experimentation and evaluation methodologies
 
 Proven track record of building production-grade ML systems
 
 Strong proficiency in Python
 
 Hands-on experience with Databricks and Kubernetes-based deployment (AKS preferred)
 
 Ability to learn quickly and operate independently in a fast-evolving AI landscape
 
 
 Preferred Qualifications
 
 Master&rsquo;s degree in Computer Science or related field (preferably in NLP or Computer Vision)
 
 
 Experience with:
 
 Multi-stage ranking systems (search/recommendation engines)
 
 Reinforcement learning / bandits
 
 GenAI, LLMs, and agentic frameworks (LangChain, LangGraph, etc.)
 
 Ecommerce or marketplace domains
 
 
 Familiarity with:
 
 Modern data platforms (Snowflake, Data Lakes)
 
 MLOps/LLMOps tools (MLflow or similar)
 
 AI governance (evaluation, explainability, safety)
 
 
 
</div>

Senior AI Engineer

Clearwater Analytics (CWAN)

<div>Job Summary: 
We are seeking a skilled and motivated Senior Software Engineer to join our dynamic team at CWAN. The role joins our Beacon Core Engineering team. The Core team develops large part of Beacon Cloud, just above the Platform abstraction. It deals with the developer tools (SDLC) that we offer to clients and use internally - IDE including Cline integration, Code Review, Test Framework, Release process; also runtime execution - batch scheduler, super computer scheduler, containerization, coding libraries - dependency graph and deal model used by the financial layer and clients directly.
In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same. 
Responsibilities<ul><li>
Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.</li><li>
Use AI agents to speed up development and advise others how to use them safely, both clients and internally.</li><li>
Break down and solve complex problems efficiently, utilizing research and collaboration as needed.</li><li>
Communicate effectively across various mediums, with different audiences, and at appropriate times.</li><li>
Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end).</li><li>
Mentor new and less-experienced team members, sharing knowledge and best practices.</li><li>
Lead design and feature discussions, advocating for enhancements in software performance, scalability, reliability, and security.</li><li>
Coordinate with cross-functional teams to ensure successful integration of software applications.</li><li>
Troubleshoot and resolve production incidents promptly and effectively.</li><li>
Understand customer needs and address issues with empathy and a sense of urgency.</li><li>
Undertake any other reasonable activities required by management.</li></ul> 
Required Skills<ul><li>
Excellent proficiency in Python</li><li>
Experience with TypeScript or Javascript, and Rust would be a strong plus</li><li>
Familiarity with C++ is a plus.</li><li>
Experience in Financial domain is a plus.</li><li>
Strong command of a typed, object-oriented programming language.</li><li>
Deep knowledge of software methodologies, tools, and common architectural patterns.</li><li>
Passion for working in a software-as-a-service environment.</li><li>
Strong focus on client satisfaction and user experience.</li><li>
Excellent teamwork and collaboration skills.</li><li>
Ability to manage time effectively and deliver results within deadlines.</li><li>
Commitment to continuous learning and professional development.</li><li>
Exceptional analytical and problem-solving skills.</li><li>
Proficient in Microsoft Office and other essential computer applications.</li><li>
Attention to detail and strong documentation capabilities.</li><li>
Outstanding verbal and written communication skills.</li><li>
Strong organizational and interpersonal skills.</li></ul> 
Education and Experience:<ul><li>
Degree in Computer Science or related field.</li><li>
5+ years of software development experience using Python or any other OOP languages.</li></ul></div>

Senior Software Development Engineer

InCommon

<div>
 
 
 Title: Senior Machine Learning Engineer
 
 
 
 
 Bangalore| India
 
 
 
 InCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 <ul>
 <li>
 As a Senior Machine Learning Engineer, you will help them transform healthcare through AI.
 </li>
 <li>
 Mission-critical, be part of our growing team (and company).
 </li>
 <li>
 Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
 </li>
 <li>
 Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
 </li>
 <li>
 Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experience:
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
 </li>
 <li>
 Graduate degree in Computer Science, Statistics, or related quantitative field
 </li>
 <li>
 Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
 </li>
 <li>
 Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
 </li>
 <li>
 Healthcare experience is valuable but not required
 </li>
 </ul>
 
 
 
 
 
 You have hands-on experience in:
 
 
 <ul>
 <li>
 Developing and implementing modern LLM models and transformers and deploying ML models in a production environment
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Continuously improving our ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Experience improving ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Experience with tools like AWS SageMaker or AWS Bedrock
 </li>
 </ul>
 
 
 
 
 
 Responsibilities will include:
 
 
 
 Technical Leadership
 
 <ul>
 <li>
 Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation
 </li>
 <li>
 Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance
 </li>
 <li>
 Help establish data engineering best practices and promote standards that enhance data accessibility across teams
 </li>
 </ul>
 
 Data Strategy &amp; Architecture
 
 <ul>
 <li>
 Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics
 </li>
 <li>
 Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity
 </li>
 <li>
 Assemble large, complex data sets that address functional and strategic requirements
 </li>
 </ul>
 
 Collaboration &amp; Enablement
 
 <ul>
 <li>
 Partner with other teams such as; Executive, Product, Clinical, Data, and Design
 </li>
 <li>
 Identify, design, and implement process improvements to enhance efficiency and scalability
 </li>
 <li>
 Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
 </li>
 </ul>
 
 Quality &amp; Innovation
 
 <ul>
 <li>
 Develop efficient, reliable AI pipelines with strong monitoring and observability
 </li>
 <li>
 Navigate and optimize our data ecosystem to drive meaningful insights
 </li>
 <li>
 Design and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliability
 </li>
 </ul>
 
 
 
 
 
 What makes you a fit for the team:
 
 
 
 Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery
 
 
 
 
</div>

Senior Machine Learning Engineer

Jade Global

<div>We are seeking an experienced Senior Software Engineer specializing in Amazon Connect, Salesforce Voice, IVR development, and cloud-based contact center solutions . This role will be responsible for designing, developing, and supporting enterprise telephony solutions that integrate Amazon Connect with Salesforce Service Cloud and Salesforce Voice.
 
The ideal candidate will have hands-on experience building sophisticated IVR applications, implementing intelligent call routing strategies, developing AWS Lambda functions, and integrating customer data across cloud platforms to create seamless customer support experiences.
 
Key Responsibilities
 
Contact Center Development
<ul><li>Design, develop, and maintain Amazon Connect contact flows and telephony solutions.
</li><li>Configure and optimize Salesforce Voice integrations with Amazon Connect.
</li><li>Implement advanced call routing strategies using skills-based, queue-based, and Omni-Channel routing.
</li><li>Build self-service IVR solutions using DTMF, speech recognition, and customer authentication workflows.
</li><li>Develop and enhance inbound, outbound, callback, and voicemail capabilities.
</li></ul>AWS Development
<ul><li>Develop and maintain AWS Lambda functions supporting telephony and customer engagement workflows.
</li><li>Design serverless integrations using AWS services including:
</li><li>Lambda
</li><li>DynamoDB
</li><li>API Gateway
</li><li>S3
</li><li>SNS
</li><li>SQS
</li><li>CloudWatch
</li><li>EventBridge
</li><li>Implement secure integrations between AWS and Salesforce platforms.
</li></ul>Salesforce Development
<ul><li>Configure Salesforce Voice and Service Cloud Voice capabilities.
</li><li>Develop Apex, Flows, and integrations supporting Voice workflows.
</li><li>Implement Omni-Channel routing and workforce management solutions.
</li><li>Create screen pops, customer identification workflows, and automated case creation processes.
</li><li>Integrate customer, product, and support data into voice experiences.
</li></ul>Integration &amp; Automation
<ul><li>Design REST and SOAP API integrations between Salesforce, AWS, and third-party applications.
</li><li>Create customer lookup and authentication services.
</li><li>Implement real-time data synchronization for contact center operations.
</li><li>Develop monitoring, logging, and alerting solutions.
</li></ul>Architecture &amp; Support
<ul><li>Participate in solution architecture and technical design reviews.
</li><li>Create technical documentation, diagrams, and deployment procedures.
</li><li>Troubleshoot production issues across Salesforce and AWS platforms.
</li><li>Collaborate with business stakeholders to define IVR and routing requirements.
</li>Mentor junior developers and provide technical leadership. 
<li>
</li></ul> 
 
Required Qualifications
<ul><li>Bachelor's degree in Computer Science, Information Systems, or related field.
</li><li>5+ years of software engineering experience.
</li><li>3+ years of hands-on Amazon Connect development experience.
</li><li>3+ years of Salesforce development or Salesforce platform experience.
</li><li>Experience implementing Salesforce Voice or Service Cloud Voice solutions.
</li><li>Strong experience building and supporting AWS Lambda functions.
</li><li>Experience designing and implementing IVR applications and call flows.
</li><li>Experience with:
</li><li>JavaScript/TypeScript
</li><li>Apex
</li><li>REST APIs
</li><li>JSON
</li><li>AWS SDKs
</li>Git-based source control 
<li>
</li></ul> 
 
Preferred Qualifications
<ul><li>Amazon Connect Specialty experience.
</li><li>Salesforce Service Cloud Consultant certification.
</li><li>Salesforce Administrator or Platform Developer certification.
</li><li>AWS Certified Developer or Solutions Architect certification.
</li><li>Experience migrating telephony platforms (e.g., Talkdesk, Genesys, Five9, NICE CXone).
</li><li>Experience with speech analytics, conversational AI, or Amazon Lex.
</li>Experience with contact center reporting and workforce optimization. 
<li>
</li></ul> 
 
Technical Skills
 
AWS
<ul><li>Amazon Connect
</li><li>AWS Lambda
</li><li>API Gateway
</li><li>DynamoDB
</li><li>CloudWatch
</li><li>S3
</li><li>SNS/SQS
</li><li>IAM
</li><li>EventBridge
</li></ul>Salesforce
<ul><li>Salesforce Voice
</li><li>Service Cloud
</li><li>Omni-Channel
</li><li>Apex
</li><li>Lightning Platform
</li><li>Flows
</li><li>Platform Events
</li><li>Integration Patterns
</li></ul>Contact Center
<ul><li>IVR Design
</li><li>Contact Flows
</li><li>Call Routing
</li><li>Queue Management
</li><li>Skills-Based Routing
</li><li>Call Recording
</li><li>Screen Pops
</li><li>CTI Integrations
</li>Customer Authentication 
<li>
</li></ul> 
 
Success Measures
<ul><li>Deliver scalable and reliable telephony solutions.
</li><li>Improve call routing accuracy and customer experience.
</li><li>Reduce call handling time through automation and intelligent routing.
</li><li>Maintain high availability and performance of voice platforms.
</li><li>Successfully integrate AWS and Salesforce technologies into a seamless customer support ecosystem.</li></ul></div>

Senior Software Engineer – Amazon Connect & Salesforce Voice

Janus Digital Global

<div>
 
 About Janus Digital
 
 
 
 
 Janus Digital is the agentic AI platform that runs the world's real assets. Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.
 
 
 
 
 Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them. We exist to change that, proving that AI for Good is also good business.
 
 
 
 
 Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics. It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock. It calculates; it does not guess.
 
 
 
 The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested. The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing. Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.
 
 
 
 About This Role
 
 
 
 <ul>
 <li>
 This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital's AI platform and the engineering capability behind it. Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations
 </li>
 <li>
 We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth&mdash;someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular. That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional. The same instincts that keep banking and financial platforms dependable are exactly what this role demands
 </li>
 <li>
 As part of the AI Office, the engineer will own meaningful parts of the platform end to end&mdash;backend services, user-facing interfaces, identity and access, and the AI agent and integration layers&mdash;and will work alongside existing engineers and the CTO function on cloud deployment and reliability. The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do. This engineer is central to making that real
 
 
 </li>
 </ul>
 
 What you'll do
 
 
 
 <ul>
 <li>
 Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers
 </li>
 <li>
 Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment
 </li>
 <li>
 Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM
 </li>
 <li>
 Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale
 </li>
 <li>
 Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves
 </li>
 <li>
 Contribute to and evolve the memory and knowledge architecture at the core of the platform&mdash;a structured, multi-graph, file-based system underpinning institutional intelligence across the company. This is among the hardest and most consequential engineering problems on the platform
 </li>
 <li>
 Architect the platform as a composition of isolated, independently deployable microservices&mdash;each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 5+ years in a full-stack software engineering role, with shipped, production systems at scale&mdash;backend and frontend both visible in your GitHub history
 </li>
 <li>
 Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand
 </li>
 <li>
 Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production
 </li>
 <li>
 API design for external consumers: versioning, authentication, rate limiting, and documentation standards
 </li>
 <li>
 Security fundamentals: zero-trust principles, data isolation, audit logging, DLP&mdash;security as a design constraint, not a post-launch checkbox
 </li>
 <li>
 Fluent with agentic development tooling&mdash;Claude Code, Codex, and CLI-based AI workflows&mdash;used with discipline and judgment, not as a substitute for engineering thinking
 </li>
 <li>
 Active GitHub profile mandatory&mdash;applications without a demonstrable commit history will not be considered
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure). You architect cloud-native systems, not just deploy to a single VM
 </li>
 <li>
 Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment
 </li>
 <li>
 Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack
 </li>
 <li>
 Enterprise identity and access management implemented in production&mdash;SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD&mdash;not just read about
 </li>
 <li>
 AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration
 </li>
 <li>
 Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar)
 </li>
 <li>
 Vertex AI / Google AI Studio / Claude API / Gemini Enterprise
 </li>
 <li>
 Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations
 </li>
 <li>
 Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures
 </li>
 <li>
 Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks)
 </li>
 <li>
 Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps)
 </li>
 <li>
 Go or Rust for performance-critical components
 </li>
 <li>
 Experience taking an internal platform or product through significant scale or its first external users
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation with performance-based incentives tied to delivery quality and client outcomes
 </li>
 <li>
 A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence
 </li>
 <li>
 Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments)
 </li>
 <li>
 Direct collaboration with our global Head of AI team
 </li>
 <li>
 Clear career progression paths into senior consulting or regional delivery leadership roles
 </li>
 <li>
 Sponsorship and support for professional development, including certifications in building services and energy management
 </li>
 </ul>
</div>

AI Software Engineer

Nagarro

<div>
 
 Job Description
 
 
 
 Must have Skills : Python (Strong), Model Packaging &amp; Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)
 
 
 Good To Have Skills : Vector Databases and Embeddings (Capable)
 
 
 Job description: Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.
 
 
 Must Have: 1. Strong foundation in Python (data handling, APIs, scripts) 2. Understanding of APIs, Docker, or deployment workflows 3. Exposure to deploying ML/AI models (even in projects/internships) 4. Understanding of embeddings, retrieval flow 5. Hands-on exposure through projects 6. Experience working with GPT/Llama APIs 7. Ability to structure prompts and evaluate outputs 8. Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects. 9. . ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.
 
 
 Core Responsibilities (Execution Under Guidance) 1. Assist in building RAG-based GenAI solutions for enterprise use cases. 2. Develop Python-based services/APIs integrating LLMs. 3. Support data preprocessing, embeddings, and retrieval pipelines. 4. Contribute to model deployment and integration tasks. 5. Debug and improve existing pipelines under supervision. 6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)
 
 
 Good to Have 1. LangChain / LlamaIndex exposure 2. Cloud basics (Azure / AWS / GCP) 3. Basic understanding of CI/CD or MLOps concepts 4. Internship/project experience in GenAI or ML use cases Experience &amp; Qualification 1. Bachelor's in Computer Science / Data Science or related field. 2. 12 years of experience in AI/ML (including internships and project work). 3. Exposure to at least one end-to-end ML/GenAI project (academic and professional).
</div>

GENERATIVE-AI ENGINEER (OMANI NATIONAL)

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always &lsquo;Fly Better.&rsquo; As one of the most recognised and admired brands globally, we're driven by innovation and excellence. Join us as Manager Finance - Master Data Management within our Group Financial Governance team and play a key role in driving financial strategy and decision-making for a global business. Experience a fast-paced, multicultural environment where your financial expertise will be central to shaping the future of aviation while making a meaningful impact on a global stage.
</div><div>The successful candidate will lead the Master Data Management (MDM) function as a Centre of Excellence, setting strategic and tactical direction for data governance, service delivery, process optimisation and transformation across the Emirates Group. They will establish and embed global standards, governance frameworks and control mechanisms to ensure data quality, integrity, compliance and security across multiple finance systems and master data domains. 
</div><div></div> 
<div>The role will act as the Group authority for finance master data governance, ensuring robust controls, approval frameworks, stewardship practices and compliance requirements are consistently applied. The successful candidate will oversee master data operations, drive continuous improvement and automation initiatives, and ensure delivery against agreed service levels, governance standards and regulatory obligations. 
</div><div></div> 
<div>The role will also lead master data readiness for major transformation programmes, including ERP implementations, data migrations and operating model changes, ensuring clean, controlled and future-ready data. Acting as the primary subject matter expert and final point of escalation for complex master data issues, the successful candidate will provide strategic guidance on governance matters, resolve cross-functional conflicts and foster a culture of accountability, compliance and operational excellence.
</div>In this role, you will:
<ul><li>Implement the Master Data Management strategy, translating vision into measurable initiatives across processes, systems and governance frameworks. Drive collaboration with senior stakeholders to position MDM as a Centre of Excellence and enabler of digital transformation, ERP readiness, operational efficiency, compliance and business growth. Maintain the MDM operating model, governance framework and roadmap aligned to business, finance and technology strategies.
</li><li>Establish and oversee standardised onboarding, maintenance and governance processes for finance master data, ensuring accuracy, quality and compliance with internal policies and regulatory requirements. Define ownership, stewardship and governance standards across master data domains and systems, ensuring consistent application of controls and accountability throughout the data lifecycle. Ensure service delivery meets agreed SLAs, quality standards and business expectations.
</li><li>Establish and maintain governance frameworks covering the creation, amendment, approval, monitoring and retirement of master data across all domains and systems. Define and enforce segregation of duties, approval authorities and validation controls to safeguard data integrity. Lead governance reviews, monitor control effectiveness and drive accountability through reporting and oversight. Act as custodian of MDM policies, standards and procedures, ensuring alignment with organisational objectives and best practice.
</li><li>Design and maintain internal controls governing master data creation, maintenance, approval, access and usage to safeguard organisational assets, financial information and regulatory compliance. Lead Internal Audit, External Audit and compliance reviews, ensuring timely remediation and sustainable closure of findings. Maintain SOPs aligned to governance requirements, best practice and evolving regulations.
</li><li>Drive automation and technology-enabled solutions to optimise master data processes through self-service capabilities, workflow automation and standardised platforms. Continuously simplify, standardise and re-engineer processes to improve efficiency, strengthen controls and enhance stakeholder experience. Promote the adoption of digital solutions, analytics and emerging technologies to improve productivity, governance and service performance.
</li><li>Lead master data readiness for ERP implementations, system migrations and transformation programmes, including data cleansing, enrichment, standardisation, validation, migration and cutover activities. Partner with Finance, Technology and business stakeholders to define future-state data structures, governance frameworks and operating models. Ensure governance, control and compliance requirements are embedded throughout all transformation activities and support post-implementation governance and data quality monitoring.
<div>Lead enterprise-wide adoption of master data governance changes through effective communication, training and stakeholder engagement.
</div></li><li><div>Act as the senior escalation point for complex master data issues, balancing business needs with governance requirements. Build strong partnerships across Finance, Procurement, Commercial, Treasury, Technology and HR, and act as the final authority for interpreting master data policies, standards and controls.
</div></li><li><div>Act as the organisation's authority on regulatory and governance requirements impacting master data. Provide strategic guidance to strengthen controls, modernise processes, embed best practices and ensure ongoing compliance. Serve as the recognised subject matter expert for finance master data governance across the Emirates Group.
</div></li><li><div>Lead and develop a high-performing Centre of Excellence team through coaching, performance management and capability development. Ensure delivery against agreed SLAs, KPIs and quality standards while fostering a culture of accountability, compliance and continuous improvement. Drive workforce planning, succession planning, talent development and resource optimisation to support future growth and transformation objectives.
</div></li></ul><h5 class="jobSectionHeader">Qualification
</h5>In order to be considered for this role, you must meet the following requirements:
<ul><li>Hold 10+ years of experience in Finance Management, Master Data Management, Governance / Compliance / Audit, Shared Services or Business Transformation.
</li>Hold a BSc/MSc Degree in Finance, Accounting, Information Systems, Data Management, Internal Audit or a related field. 
<li>
</li></ul> 
You'll have an edge if you have:
<ul><li>A professional certification in data management, finance, governance or project management (e.g. CDMP, CPA, ACCA, CIMA, PMP, Lean Six Sigma) is highly desirable.
</li><li>Experience in a managerial role within a large multinational organisation.
</li><li>Strong expertise in finance operations, governance, internal controls and master data management.
</li><li>Proven experience across chart of accounts design and governance, supplier and customer master data, financial master structures, intercompany and consolidation frameworks, and end-to-end Procure-to-Pay (P2P), Order-to-Cash (O2C) and Record-to-Report (R2R) processes.
</li><li>Demonstrated success leading master data functions, Centres of Excellence, Shared Service operations or governance teams within complex multinational environments.
</li><li>Demonstrated success in leading transformation initiatives, standardising processes with strong controls, implementing automation and driving adoption of advanced technologies and best practices across diverse business units.
</li><li>Proven experience supporting ERP implementations, data migration programmes, operating model transformations and post-implementation governance.
</li><li>Experience managing service delivery against SLAs, KPIs and quality standards.
</li><li>Significant experience designing and operating governance, risk and control frameworks within finance, shared services or master data environments.
</li><li>Proven experience supporting Internal Audit, External Audit, compliance reviews and regulatory examinations.
</li><li>Strong stakeholder management skills with the ability to influence senior leaders and drive organisational change.
</li></ul>At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax‑free salary, generous travel benefits, excellent leave and healthcare, transport benefits, life insurance and more. Discover what it&rsquo;s like to live and work in our fast‑paced, cosmopolitan home city in the Dubai Lifestyle section of our website: www.emirates.com/careers.</div>

Manager Finance

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