Dubai Sectors

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation

A leading diversified conglomerate is building a future-ready technology function at group level. We're hiring a visionary VP of Enterprise Architecture to shape and execute the enterprise-wide tech strategy, with a bold focus on AI, data, and digital transformation. Sitting within the Group CIO's office, this role isn't just about technology alignment - it's about leading how a group of businesses harness artificial intelligence and data-driven insights to gain competitive edge, modernise at scale, and innovate faster. You'll lead a newly-formed architecture team and set the vision that underpins how the group evolves in the age of AI. If you're passionate about building intelligent, scalable systems that transform business models - and want the platform to do it across industries - this is your opportunity. This is your chance to shape the technology blueprint for a group of businesses poised to lead in the AI era. About the role:Lead with vision. Own and drive the group's enterprise architecture strategy with a sharp focus on AI-first and data-centric solutions.Embed intelligence at scale. Partner with data science, analytics, and AI teams to define how machine learning, predictive analytics, and automation integrate across platforms and business domains.Future-proof the stack. Champion modern, cloud-native, and modular architecture that accelerates innovation while enabling robust AI deployment and experimentation.Transform legacy. Modernise outdated systems and lead a shift toward intelligent platforms and real-time data infrastructure.Drive alignment. Work directly with the C-suite and business leaders to translate business ambition into technology roadmaps that prioritise AI-readiness and scalability.Establish guardrails. Define and enforce architecture frameworks (e.g., TOGAF, Zachman) that enable agility while maintaining governance.Inspire talent. Lead a high-performing team of architects across key domains, and build a collaborative culture centred on innovation and value delivery. About you:Deep experience in enterprise architecture with a track record of embedding AI and data strategies into core business systems.Technical fluency in AI/ML platforms, data pipelines, cloud (AWS, Azure, GCP), and modern architecture principles (microservices, APIs, event-driven systems).Proven ability to design scalable, secure, and intelligent enterprise environments across multiple business models and tech stacks.Strong leadership and stakeholder management skills - confident influencing C-level stakeholders and guiding diverse teams toward a shared vision.Deep understanding of ERP, CRM, HCM, and how to evolve them for an AI-enabled future.Domain knowledge in retail, FMCG, manufacturing, pharma, or other consumer-facing sectors is highly valued.

Technical Program Manager - Cloud Platform Delivery (DC Experience Required)We're looking for a Technical Program Manager to lead the delivery of enterprise-grade cloud platforms across OSS/BSS, ITSM, and NOC domains.You'll own complex programs that sit at the core of operational transformation - building and deploying modern cloud-native systems within high-availability data centre environments. If you've led cloud platform rollouts in a DC setting and know how to bring order to large-scale, high-stakes programs, we want to talk.About the role:Drive end-to-end delivery of OSS/BSS, ITSM, and NOC platforms into cloud or hybrid environmentsManage full program lifecycle - scope, design, execution, risk, and stakeholder engagementAlign technical delivery with business outcomes across engineering, ops, and vendor teamsLead the integration of mission-critical platforms in production-grade DC environmentsEnsure performance, scalability, and operational readiness at every stage About you:10+ years in technical or program management roles, with at least 5 years in a data centre environmentExperience in telecom, managed services, or cloud-native DC environmentsProven success delivering cloud-based platforms (OSS/BSS, ITSM, NOC) at scaleStrong understanding of cloud-native delivery, systems integration, and service operationsConfident working across architecture, engineering, and C-level stakeholdersSharp program execution skills - you keep things moving and deliver outcomes

We're looking for a Data Analyst who thrives on turning complex data into clear insights. You'll work across the Microsoft Azure ecosystem to build and maintain scalable reporting and analytics solutions that support decision-making in a construction environment. Key Skills & Experience:Strong Power BI reporting and dashboard developmentHands-on with Azure Data Factory (ADF), Synapse Analytics, Azure Analysis Services (AAS), and Azure Data Lake Storage (ADLS)Solid understanding of ETL processes and data modelingExperience working in or with construction companies (must-have)Proficiency in SQL, and working with large datasetsComfortable working with business stakeholders and understanding operational KPIs

Involved is hiring a Technical Architect with expertise in React, Java, Drools, TIBCO, and Informatica.We're looking for someone who can design and lead the implementation of complex IT systems that integrate these technologies. You'll need deep technical knowledge across the stack to deliver scalable, efficient, and effective solutions aligned with business goals.About the role: System Design and ArchitectureDevelop comprehensive system architectures incorporating:React for front-end developmentJava for backend servicesDrools for business rule managementTIBCO for integration solutionsInformatica for data managementEnsure systems are scalable, maintainable, and meet performance and security standards.Technical LeadershipMentor development teams and promote best practices in design, coding, and deployment.Lead technical discussions and collaborate closely with stakeholders to align technology with business strategy.Integration ManagementOversee system and application integration using TIBCO, ensuring seamless communication and data flow.Design and implement robust data integration solutions with Informatica.Business Rule ImplementationUse Drools to define, implement, and manage business rules as a core part of the system architecture.Full-Stack OversightGuide front-end development with React, ensuring a modern, responsive user experience.Manage Java-based backend services and application logic for reliability and performance. About you:Proven experience as a Technical Architect or similar role, with a focus on the listed technologies.Strong background in system design, architecture, and deployment.Deep knowledge of React.js and core frontend principles.Extensive experience with Java and related frameworks.Hands-on expertise with Drools for business rule management.Experience with TIBCO tools for integration solutions.Strong proficiency with Informatica for data integration and management.

Involved have partnered with a leading conglomerate to hire a VP of AI/ML to drive innovation, enhance data-driven decision-making, and lead AI and analytics initiatives. This role is essential for shaping the company's AI strategy, developing scalable solutions, and integrating business intelligence capabilities to optimize operations and customer insights.About the role:Provide technical leadership and strategic direction across AI, ML, and business intelligence functions.Architect and build a full ML platform and infrastructure to ensure scalability and operational efficiency.Develop and implement advanced analytics models to enhance business decision-making, customer segmentation, and risk assessment.Lead a team of AI/ML engineers, MLOps, and data engineers to build, deploy, and maintain end-to-end ML models.Oversee data integration, feature engineering, and the development of feature stores to support AI-driven solutions.Collaborate with business leaders to translate company objectives into actionable AI and BI solutions.Define best practices for AI/ML development, deployment, and lifecycle management.Leverage predictive analytics, statistical modeling, and machine learning techniques to optimize pricing strategies and customer engagement.Drive innovation in areas such as NLP, computer vision, generative AI, and reinforcement learning.Ensure compliance with industry regulations and data governance standards. About You:5+ years of hands-on experience designing and implementing ML models and analytics solutions at scale, ideally in a Retail or Manufacturing background.Strong background in AI/ML fundamentals, data science, and software engineering.Proven experience building AI-driven solutionsCommercial experience in cloud-based AI architecture (AWS, Azure, or GCP).Strong leadership skills with the ability to mentor teams and drive a data-driven culture.PhD or Master's in Machine Learning, Data Science, Computer Science, or related field preferred.

We are hiring a Program Management with strong background in CRM and CX. You will lead customer experience initiatives, drive cross-functional projects, and ensure seamless execution of CRM programs.About the role:Oversee CRM & CX Programs - Manage the end-to-end execution of CRM transformation initiatives.Drive Change Management - Identify customer journey pain points and ensure smooth adoption of improvements.Lead Program Planning & Execution - Develop project plans, manage dependencies, and proactively mitigate risks.Cross-Functional Collaboration - Work closely with IT, Finance, Hospitality, and other teams to align business goals.Stakeholder Management - Engage senior leadership, ensuring program objectives and deliverables are met.Knowledge & Process Optimization - Implement best-in-class knowledge management and CRM enablement strategies.Monitor Performance & Reporting - Track KPIs, prepare executive reports, and manage dashboards. About you:15+ years of experience in program management, CRM, CX, or project execution.10+ years managing large-scale CRM or CX-related projects.5+ years of experience engaging with C-suite executives.Proven ability to manage teams and complex cross-functional projects.Strong expertise in PMP methodologies, Salesforce, Genesys, and MS Office.Exceptional skills in program execution, risk management, and stakeholder alignment.

We are looking for a Data Analysis Manager to lead the data-driven initiatives within Customer Relationship Management (CRM) and Workforce Management (WFM). In this role, you will oversee data analysis, reporting, and strategy development to optimise customer interactions and workforce efficiency.About the role:CRM Analytics: Leverage data to enhance customer engagement, segmentation, and retention strategies.Workforce Management Analytics: Analyse workforce data to improve forecasting, staffing, and productivity.Data Strategy & Leadership: Develop and implement data-driven strategies to optimize business performance.Performance Monitoring: Design and maintain dashboards and reports to track key performance metrics.Stakeholder Collaboration: Work closely with cross-functional teams to drive insights and recommendations.Process Improvement: Identify gaps and propose data-backed solutions for CRM and WFM efficiency. About you:Proven experience in data analysis, CRM, and WFM analytics.Strong proficiency in SQL, Excel, and BI tools (Tableau, Power BI, etc.).Hands-on experience with CRM platforms (Salesforce, HubSpot, etc.) and WFM systems.Ability to translate complex data into actionable insights.Strong leadership, communication, and problem-solving skills.

Join a fast-growing company and take ownership of building and scaling mission-critical systems that power financial services used daily by thousands of customers. This is a high-impact leadership role where you'll define the technical vision, architect scalable systems, and lead high-performing engineering teams to deliver cutting-edge solutions.About the role:Technical Strategy & Architecture: Drive the engineering roadmap, ensuring systems are highly scalable, resilient, and architecturally sound.Engineering Leadership: Lead multiple cross-functional teams, fostering a culture of excellence, innovation, and collaboration.Scalable Systems Development: Oversee the design, development, and deployment of distributed, cloud-based systems on AWS, Azure, or GCP.Hands-on Problem Solving: Tackle large-scale engineering challenges, ensuring performance, security, and reliability at every level.Resource Allocation & Execution: Plan, prioritize, and allocate resources effectively to meet technical and business objectives.Agile & Best Practices: Implement Agile methodologies, optimize engineering workflows, and drive continuous improvement.Team Mentorship & Growth: Coach and develop engineers, empowering them to take ownership and grow their careers.Cross-Team Collaboration: Work closely with product, design, and business teams to align engineering goals with company strategy. About you:12+ years of experience in software development, with 6 years in leadership roles.Proven expertise in building and scaling distributed systems on cloud platforms.Strong background in Agile development, delivering high-quality software in fast-paced environments.Ability to mentor engineers, drive best practices, and lead technical decision-making.

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation

A leading diversified conglomerate is building a future-ready technology function at group level. We're hiring a visionary VP of Enterprise Architecture to shape and execute the enterprise-wide tech strategy, with a bold focus on AI, data, and digital transformation. Sitting within the Group CIO's office, this role isn't just about technology alignment - it's about leading how a group of businesses harness artificial intelligence and data-driven insights to gain competitive edge, modernise at scale, and innovate faster. You'll lead a newly-formed architecture team and set the vision that underpins how the group evolves in the age of AI. If you're passionate about building intelligent, scalable systems that transform business models - and want the platform to do it across industries - this is your opportunity. This is your chance to shape the technology blueprint for a group of businesses poised to lead in the AI era. About the role:Lead with vision. Own and drive the group's enterprise architecture strategy with a sharp focus on AI-first and data-centric solutions.Embed intelligence at scale. Partner with data science, analytics, and AI teams to define how machine learning, predictive analytics, and automation integrate across platforms and business domains.Future-proof the stack. Champion modern, cloud-native, and modular architecture that accelerates innovation while enabling robust AI deployment and experimentation.Transform legacy. Modernise outdated systems and lead a shift toward intelligent platforms and real-time data infrastructure.Drive alignment. Work directly with the C-suite and business leaders to translate business ambition into technology roadmaps that prioritise AI-readiness and scalability.Establish guardrails. Define and enforce architecture frameworks (e.g., TOGAF, Zachman) that enable agility while maintaining governance.Inspire talent. Lead a high-performing team of architects across key domains, and build a collaborative culture centred on innovation and value delivery. About you:Deep experience in enterprise architecture with a track record of embedding AI and data strategies into core business systems.Technical fluency in AI/ML platforms, data pipelines, cloud (AWS, Azure, GCP), and modern architecture principles (microservices, APIs, event-driven systems).Proven ability to design scalable, secure, and intelligent enterprise environments across multiple business models and tech stacks.Strong leadership and stakeholder management skills - confident influencing C-level stakeholders and guiding diverse teams toward a shared vision.Deep understanding of ERP, CRM, HCM, and how to evolve them for an AI-enabled future.Domain knowledge in retail, FMCG, manufacturing, pharma, or other consumer-facing sectors is highly valued.

Technical Program Manager - Cloud Platform Delivery (DC Experience Required)We're looking for a Technical Program Manager to lead the delivery of enterprise-grade cloud platforms across OSS/BSS, ITSM, and NOC domains.You'll own complex programs that sit at the core of operational transformation - building and deploying modern cloud-native systems within high-availability data centre environments. If you've led cloud platform rollouts in a DC setting and know how to bring order to large-scale, high-stakes programs, we want to talk.About the role:Drive end-to-end delivery of OSS/BSS, ITSM, and NOC platforms into cloud or hybrid environmentsManage full program lifecycle - scope, design, execution, risk, and stakeholder engagementAlign technical delivery with business outcomes across engineering, ops, and vendor teamsLead the integration of mission-critical platforms in production-grade DC environmentsEnsure performance, scalability, and operational readiness at every stage About you:10+ years in technical or program management roles, with at least 5 years in a data centre environmentExperience in telecom, managed services, or cloud-native DC environmentsProven success delivering cloud-based platforms (OSS/BSS, ITSM, NOC) at scaleStrong understanding of cloud-native delivery, systems integration, and service operationsConfident working across architecture, engineering, and C-level stakeholdersSharp program execution skills - you keep things moving and deliver outcomes

We're looking for a Data Analyst who thrives on turning complex data into clear insights. You'll work across the Microsoft Azure ecosystem to build and maintain scalable reporting and analytics solutions that support decision-making in a construction environment. Key Skills & Experience:Strong Power BI reporting and dashboard developmentHands-on with Azure Data Factory (ADF), Synapse Analytics, Azure Analysis Services (AAS), and Azure Data Lake Storage (ADLS)Solid understanding of ETL processes and data modelingExperience working in or with construction companies (must-have)Proficiency in SQL, and working with large datasetsComfortable working with business stakeholders and understanding operational KPIs

Involved is hiring a Technical Architect with expertise in React, Java, Drools, TIBCO, and Informatica.We're looking for someone who can design and lead the implementation of complex IT systems that integrate these technologies. You'll need deep technical knowledge across the stack to deliver scalable, efficient, and effective solutions aligned with business goals.About the role: System Design and ArchitectureDevelop comprehensive system architectures incorporating:React for front-end developmentJava for backend servicesDrools for business rule managementTIBCO for integration solutionsInformatica for data managementEnsure systems are scalable, maintainable, and meet performance and security standards.Technical LeadershipMentor development teams and promote best practices in design, coding, and deployment.Lead technical discussions and collaborate closely with stakeholders to align technology with business strategy.Integration ManagementOversee system and application integration using TIBCO, ensuring seamless communication and data flow.Design and implement robust data integration solutions with Informatica.Business Rule ImplementationUse Drools to define, implement, and manage business rules as a core part of the system architecture.Full-Stack OversightGuide front-end development with React, ensuring a modern, responsive user experience.Manage Java-based backend services and application logic for reliability and performance. About you:Proven experience as a Technical Architect or similar role, with a focus on the listed technologies.Strong background in system design, architecture, and deployment.Deep knowledge of React.js and core frontend principles.Extensive experience with Java and related frameworks.Hands-on expertise with Drools for business rule management.Experience with TIBCO tools for integration solutions.Strong proficiency with Informatica for data integration and management.

Involved have partnered with a leading conglomerate to hire a VP of AI/ML to drive innovation, enhance data-driven decision-making, and lead AI and analytics initiatives. This role is essential for shaping the company's AI strategy, developing scalable solutions, and integrating business intelligence capabilities to optimize operations and customer insights.About the role:Provide technical leadership and strategic direction across AI, ML, and business intelligence functions.Architect and build a full ML platform and infrastructure to ensure scalability and operational efficiency.Develop and implement advanced analytics models to enhance business decision-making, customer segmentation, and risk assessment.Lead a team of AI/ML engineers, MLOps, and data engineers to build, deploy, and maintain end-to-end ML models.Oversee data integration, feature engineering, and the development of feature stores to support AI-driven solutions.Collaborate with business leaders to translate company objectives into actionable AI and BI solutions.Define best practices for AI/ML development, deployment, and lifecycle management.Leverage predictive analytics, statistical modeling, and machine learning techniques to optimize pricing strategies and customer engagement.Drive innovation in areas such as NLP, computer vision, generative AI, and reinforcement learning.Ensure compliance with industry regulations and data governance standards. About You:5+ years of hands-on experience designing and implementing ML models and analytics solutions at scale, ideally in a Retail or Manufacturing background.Strong background in AI/ML fundamentals, data science, and software engineering.Proven experience building AI-driven solutionsCommercial experience in cloud-based AI architecture (AWS, Azure, or GCP).Strong leadership skills with the ability to mentor teams and drive a data-driven culture.PhD or Master's in Machine Learning, Data Science, Computer Science, or related field preferred.

We are hiring a Program Management with strong background in CRM and CX. You will lead customer experience initiatives, drive cross-functional projects, and ensure seamless execution of CRM programs.About the role:Oversee CRM & CX Programs - Manage the end-to-end execution of CRM transformation initiatives.Drive Change Management - Identify customer journey pain points and ensure smooth adoption of improvements.Lead Program Planning & Execution - Develop project plans, manage dependencies, and proactively mitigate risks.Cross-Functional Collaboration - Work closely with IT, Finance, Hospitality, and other teams to align business goals.Stakeholder Management - Engage senior leadership, ensuring program objectives and deliverables are met.Knowledge & Process Optimization - Implement best-in-class knowledge management and CRM enablement strategies.Monitor Performance & Reporting - Track KPIs, prepare executive reports, and manage dashboards. About you:15+ years of experience in program management, CRM, CX, or project execution.10+ years managing large-scale CRM or CX-related projects.5+ years of experience engaging with C-suite executives.Proven ability to manage teams and complex cross-functional projects.Strong expertise in PMP methodologies, Salesforce, Genesys, and MS Office.Exceptional skills in program execution, risk management, and stakeholder alignment.

We are looking for a Data Analysis Manager to lead the data-driven initiatives within Customer Relationship Management (CRM) and Workforce Management (WFM). In this role, you will oversee data analysis, reporting, and strategy development to optimise customer interactions and workforce efficiency.About the role:CRM Analytics: Leverage data to enhance customer engagement, segmentation, and retention strategies.Workforce Management Analytics: Analyse workforce data to improve forecasting, staffing, and productivity.Data Strategy & Leadership: Develop and implement data-driven strategies to optimize business performance.Performance Monitoring: Design and maintain dashboards and reports to track key performance metrics.Stakeholder Collaboration: Work closely with cross-functional teams to drive insights and recommendations.Process Improvement: Identify gaps and propose data-backed solutions for CRM and WFM efficiency. About you:Proven experience in data analysis, CRM, and WFM analytics.Strong proficiency in SQL, Excel, and BI tools (Tableau, Power BI, etc.).Hands-on experience with CRM platforms (Salesforce, HubSpot, etc.) and WFM systems.Ability to translate complex data into actionable insights.Strong leadership, communication, and problem-solving skills.

Join a fast-growing company and take ownership of building and scaling mission-critical systems that power financial services used daily by thousands of customers. This is a high-impact leadership role where you'll define the technical vision, architect scalable systems, and lead high-performing engineering teams to deliver cutting-edge solutions.About the role:Technical Strategy & Architecture: Drive the engineering roadmap, ensuring systems are highly scalable, resilient, and architecturally sound.Engineering Leadership: Lead multiple cross-functional teams, fostering a culture of excellence, innovation, and collaboration.Scalable Systems Development: Oversee the design, development, and deployment of distributed, cloud-based systems on AWS, Azure, or GCP.Hands-on Problem Solving: Tackle large-scale engineering challenges, ensuring performance, security, and reliability at every level.Resource Allocation & Execution: Plan, prioritize, and allocate resources effectively to meet technical and business objectives.Agile & Best Practices: Implement Agile methodologies, optimize engineering workflows, and drive continuous improvement.Team Mentorship & Growth: Coach and develop engineers, empowering them to take ownership and grow their careers.Cross-Team Collaboration: Work closely with product, design, and business teams to align engineering goals with company strategy. About you:12+ years of experience in software development, with 6 years in leadership roles.Proven expertise in building and scaling distributed systems on cloud platforms.Strong background in Agile development, delivering high-quality software in fast-paced environments.Ability to mentor engineers, drive best practices, and lead technical decision-making.