31 AI Manager jobs in the United Arab Emirates
Head of Data / AI Strategy & Governance
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Dubai, United Arab Emirates | Posted on 08/05/2025
Position Title: Head of Data / AI Strategy & Governance Location: Dubai, UAE Job Type: Full-Time
About myZoi myZoi is a Standard Chartered Ventures fintech that ischanging lives for the better, for those who deserve it the most. We arecommitted to promoting global financial inclusion by offering affordable,accessible, and transparent financial services to the underbankedpopulations.
Our vision
To deliver a level playing field for the unbanked andunderbanked in accessing essential financial services through innovative,data-driven solutions that foster financial inclusion in an affordable,convenient, and transparent fashion.
The Role We are seeking atransformative Head of Data & AI Strategy - an enterprise-wide leaderresponsible for defining the strategic data and AI vision for myZoi. This rolewill play a pivotal role Win establishing an AI-enabled data ecosystem,ensuring governance, integrity, and actionable insights are embedded across allfunctions of the business.
You will be entrusted to craft and lead adata-driven culture, accelerate enterprise-wide AI adoption, and ensureresponsible governance by designing scalable data architecture, leading datagovernance initiatives, overseeing ethical and responsible AI integration,driving data literacy, and unlocking data value to power strategicdecision-making, innovation, and regulatory compliance.
KeyResponsibilities
Strategic Leadership & Enterp rise transformation
- Define and implement the overall enterprise data andAI strategy aligned with global growth, innovation, and operational excellencegoals.
- Act as a strategic partner to the executive leadershipteam, influencing business decisions and company direction through datainsights.
- Lead enterprise data monetization initiatives,developing new revenue streams leveraging AI and data products.
- Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
- Drive a data and AI-enabled transformation across allfunctions, fostering a strong data culture and change adoption at all levels ofthe organization.
- Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
- Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
- Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
DataStrategy & Architecture
- Develop and maintain the enterprise data strategy,shaping and scaling its impact as a core enabler of business innovation andintelligence .
- Collaborate with the leadership team to aligndata and AI strategy with organizational priorities.
- Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
- Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
- Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
- Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
Data Use & AI Enablement
- Work with all functions (like product, innovation,marketing, engineering, operations, etc.)toidentify opportunities for data driven AI/ML applications across theorganization.
- Drive integration of machine learning and intelligentautomation to enhance decision-making and customer experiences.
- Promote data and AI literacy across theorganization through training, tools, and awareness campaigns.
- Monitor emerging AI trends and appropriate tools toensure myZoi remains on the leading edge of innovation.
Data& AI Governance
- Develop and implement data governanceframeworks, including data ownership, stewardship, classification, and datalifecycle management.
- Work with Innovation, Technology, Risk &Compliance on Data & AI governance, including model transparency, biasmitigation, and ethical use standards.
- Define and implement data/AI standards,policies, and framework across the organization.
- Ensure high levels of data quality, accuracy, andcompliance with regulatory requirements (e.g., GDPR, BCBS239, AI, and otherlocal regulations).
Risk,Security, and Compliance
- Ensure data and AI security, privacy, and riskcontrols are effectively designed and implemented in alignment with risk, legaland regulatory frameworks.
- Def ineaccess control and security frameworks for data assets
- Engage with senior leadership, regulators, andindustry bodies on data and AI governance matters.
Qualifications& Experience
- 15+ years of progressive experience in dataarchitecture, AI/ML, enterprise data strategy and governance, preferably withinfintech, financial services, or highly regulated industries.
- Proven record of accomplishment in designing,scaling, and managing enterprise-wide data and AI initiatives in cloud and hybrid environments (preferablyleveraging AWS tech stack).
- Strong knowledge of data governance tools, AI modellifecycle, metadata management, MDM, and data quality practices.
- Demonstrated ability to work across businessand technology domains, Deep expertise in cloud data platforms (AWSpreferred), data governance tools, ethical AI, and compliance frameworks.
- Strong leadership skills with experience managingdiverse, cross-functional teams and drivingcollaboration and results.
Skills& Personal Attributes
- Strategic thinker with deep technical expertise indata and AI,
- Capable of translating business vision into actionablestrategies.
- Inspirational leader who champions innovation,collaboration, and organi z ationaltransformation.
- Excellent communicator with stakeholder engagement andchange management skills.
- Focused on driving measurable outcomes and creatingstrategic value from data and AI investments.
- Strong analytical mindset, attention todetail, and commitment to data integrity and responsible AI use.
- Collaborative and proactive problem-solverwith a passion for enabling innovation through data and AI.
At myZoi we strive to create a both a productand a team that embraces equality, inclusion, diversity and freedom. We wantpeople who can be themselves and bring their own brand of value to the team.Come and join us!
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Data & AI Strategy role (mid-senior level)
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Data & AI Strategy role (mid-senior level)
Abu Dhabi, United Arab Emirates | Posted on 10/08/2025
The Data & Artificial Intelligence Strategy professional will lead technology transformation, Data Management, and AI initiatives with hands-on experience and a solid track record in project delivery. The candidate combines strong technical expertise with strategic insight and practical implementation skills, ideally from technology consulting, digital implementation, or operational technology backgrounds.
Key Accountabilities- AI Implementation : Lead the end-to-end deployment of AI solutions that create measurable business value. This involves collaborating with data scientists, engineers, and business stakeholders to design, develop, and scale AI models and applications that address key organizational challenges. Ensure AI initiatives are aligned with business priorities and monitor their impact through key performance indicators.
- Technology Project Execution : Take ownership of technology projects from initiation to completion, ensuring they are delivered on schedule, within budget, and meet quality standards. This includes detailed project planning, resource allocation, risk management, and continuous communication with stakeholders. Apply best practices in project management to navigate challenges and remove blockers for successful delivery.
- Data & Analytics : Oversee data management and analytics activities to ensure data quality, governance, and accessibility. Guide the development of data pipelines, analytics models, and reporting frameworks to empower data-driven decision-making across the organization. Stay current with industry trends in data technologies and AI to recommend enhancements and innovations.
- Digital Engineering : Provide technical guidance on software development life cycles, architecture design, and integration practices. Work closely with engineering teams to ensure that digital solutions are robust, scalable, and maintainable. Encourage adoption of agile methodologies and continuous improvement in engineering processes.
- Technology Assessment : Conduct regular reviews of technology capabilities, identifying gaps and opportunities for improvement. Evaluate emerging technologies for relevance and potential business impact. Develop recommendations and roadmaps for technology upgrades that support strategic goals.
- Automation Implementation : Drive initiatives that leverage technology and AI to automate repetitive tasks and optimize operational workflows. Collaborate across departments to identify automation opportunities and lead pilot projects to test and refine automation solutions, ensuring efficiency gains and cost reductions.
- Technical Guidance : Act as a bridge between technical teams and business units by translating complex technical concepts into clear, actionable insights. Facilitate understanding and alignment among diverse stakeholders to support effective decision-making and foster innovation.
- Contributing to Strategy : Support senior leadership by assessing current technology and AI strategies, identifying risks and opportunities, and developing actionable plans for execution. Work closely with strategy teams to ensure that technology roadmaps align with the overall business vision and market dynamics.
- Vendor Assessment : Evaluate technology vendors, tools, and service providers to ensure they meet organizational needs in quality, cost, and capability. Lead vendor selection processes, including due diligence, pilot evaluations, and contract negotiations, and manage ongoing vendor relationships.
- Project Oversight : Manage external consultants and technology vendors engaged in projects to ensure delivery meets specifications and timelines. Provide clear direction, monitor progress, and coordinate efforts between internal teams and external partners to maintain project momentum.
- 10 to 15 years of relevant experience
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field; Master’s degree preferred
- Practical expertise in machine learning models, data processing, and AI implementation methods
- Proven experience scaling technology solutions and understanding system architecture
- Strong analytical and problem-solving capabilities
- Ability to align technology initiatives with business objectives
- Excellent communication skills adaptable to various audiences
- Effective stakeholder relationship management
- Commitment to quality, attention to detail, and results orientation
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Senior Product Manager - AI
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talabat is part of the Delivery Hero Group, the world's pioneering local delivery platform, our mission is to deliver an amazing experience-fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Job Description- We are seeking a Senior Product Manager with a strong background in artificial intelligence and a passion for building tools that empower commercial, account management, and operations teams. The role focuses on designing and delivering AI-powered solutions and agentic workflows to enhance sales productivity, drive B2B customer acquisition, accelerate onboarding, and improve account management and retention outcomes.
- Lead the strategy and product roadmap for AI-powered features focused on B2B sales acquisition, account onboarding, and retention workflows.
- Build, deploy, and refine agentic workflows and intelligent automation that support commercial and sales teams with prospecting, pipeline management, deal execution, and renewal processes.
- Launch AI-driven capabilities that personalize outreach, automate onboarding processes, and proactively surface account growth opportunities and churn risks.
- Partner with Data Science and Engineering to develop solutions that analyze customer and account data, delivering actionable insights for the commercial organization.
- Own the end-to-end delivery of new AI tools-ensuring internal adoption by sales and account management teams, and continuous improvement based on user feedback and business impact.
- Collaborate with cross-functional stakeholders (including Marketing, Revenue Operations, and Support) to align product enhancements with go-to-market priorities and customer needs.
- Higher volume and improved quality of B2B lead acquisition, with measurable improvements to onboarding speed and customer satisfaction.
- Increased sales team productivity, faster deal cycles, and higher win rates supported by AI-driven tools.
- Scalable onboarding and account management journeys, leading to increased retention and expansion of key accounts.
- Strong adoption and advocacy from commercial teams for the AI-powered features and workflows built.
- 5+ years in product management or product leadership, with at least 2 years building AI-driven products or workflow automation tools.
- Experience delivering commercial/B2B-focused product features that support sales, onboarding, or account retention processes.
- Demonstrated ability to collaborate with commercial, sales, and data science stakeholders to deliver business-impacting tools.
- Familiarity with AI/ML concepts (agentic workflows, workflow automation, predictive analytics) in a commercial context.
- Excellent communication skills, with proven ability to drive adoption and deliver value for internal business teams.
- Experience building AI-powered solutions for B2B SaaS, marketplaces, or enterprise software environments.
- Practical experience with CRM, sales enablement platforms, or customer success tooling enhanced by AI.
- Background in launching agentic workflows that automate or augment B2B sales and customer onboarding.
- MBA or advanced degree in a business, technical, or quantitative field preferred
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AI Transformation Project Manager
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Executive Manager - AI Engineering
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About the business area
GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.
We are actively seeking an ambitious professional to join our Group Business Service team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.
Responsibilities- Engineer Conversational AI platforms with LLM-based agents, reusable frameworks, and secure enterprise knowledge systems
- Architect AI/ML platform components, operationalize LLMs, and implement MLOps best practices
- Build ML pipelines using Azure/AWS, deploy foundation models, and manage cloud-native infrastructure
- Drive adoption of modern engineering practices, evaluate emerging tools, and improve platform reliability
- Manage self and team in line with ADCB’s people management policies, procedures, processes and practices to ensure adherence and to maximise own and employee contribution to business performance
- Organize and supervise the activities and work of the team to ensure that targets and objectives are achieved and the business plan is delivered in line with the required policies, processes, procedures and systems
- Implement approved departmental policies, processes and procedures, and ensure employee adherence so that work is carried out to the required standard while delivering the required standards of service to customers and stakeholders
- Manage and motivate the team to ensure they contribute to, and participate in, the identification and implementation of change initiatives, programmes and projects in line with the Bank’s standards
- Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions
- AI/ML engineering with expertise in LLMs, transformers, multimodal models, RAG, and vector databases
- NLP/NLU, personalization, and recommendation systems
- Scalable cloud-native AI platforms using microservices architecture
- Strong stakeholder management, mentoring, and cross-functional collaboration
- Deep understanding of emerging AI trends and rapid prototyping
- Active engagement in AI communities and innovation initiatives
- Competitive Salary: Additional to this, all employees are eligible to participate in one of our rewarding variable pay plans.
- Comprehensive Benefits Package : This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).
- Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.
- Learning and Development Opportunities : We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.
At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions
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Manager - AI/ML Solution Architect
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Manager - AI/ML Solution Architect page is loaded Manager - AI/ML Solution Architect Apply locations Abu Dhabi time type Full time posted on Posted Yesterday job requisition id R-8511
Not just a job, but a career
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Purpose:
The AI/ML Digital Solution Architect is responsible for architecting AI/ML solutions and support the analytical implementation for the production of Oil & Gas, Petrochemicals and other domain. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit/ Solution Division in developing a differentiation in a high-growth competitive environment in YMA region.
Key Responsibilities & Accountabilities:
- Perform high level technical analysis activities leveraging AI/ML technology. The individual is required to gather and perform gap analysis and to explore use of AI/ML technology to resolve customers’ problems.
- Responsible to advice on suitable AI/ML solution and to provide overall business portfolio management, design and demo functions.
- Responsible for the business case identification, implementation support and successful proliferation of focused AI applications in the assigned industry / application.
- Responsible to ensure client expectations are understood and being met using AI/ML.
- Responsible to ensure timing and quality of assigned deliverables completion while working to support delivery team.
- Responsible to ensure AI best practice approaches and methods are being used as appropriate.
- Engage with customer in assigned technical area(s) to develop solutions that help to resolve their process problems and grow their business leveraging AI and other APC/RTO if possible.
- Support SM/DX training efforts - Provide input, document requirements, and support the design and delivery of AI related training programs.
- Responsible for / contribution to the preparation of reports for clients
- Define solution architectures and develops detailed design specifications.
- Define functional requirements through client interviews, documentation analysis and Workflow Process Mapping. Knowledge of SIRI Assessment is an advantage.
- Provide expert knowledge and experience to estimate the technical effort required to implement complex AI solutions.
- Responsible for technical deliverables during the entire lifecycle of solution development projects
- Actively participate on a technical project team, ensuring that effective relationships are built and maintained.
- Proactively engage with customers to define the overall technical approach for AI implementation with simulation or Digital Twin.
- Assist existing customers in problem resolution and help define future opportunities with those customers. Provide Sure Service support to clients under contract.
- Proven ability to positively interact with all sales personnel and secure orders.
Qualification and Experience:
- Bachelor’s Eng./Comp Science or minimum 6 years industry experience in AI based software development, engineering discipline and sales
- Minimum 4 years’ experience designing or implementing AI/ML applications. Knowledge of AI for control will be advantages.
- Strong problem-solving skills with an emphasis on Solution development.
- Must be willing and able to travel throughout the YMA / YIL / YEF regions.
Competencies:
- Good communication skills, a team player, ability to energize.
- Knowledge of Oil and Gas, Petrochemicals or specialized chemical Domain will be a plus.
- Strong Knowledge on IIOT integration concepts
- Knowledge on Latest’s market trend
- Tough and persistent negotiation skills
Skills:
- AI related Software skills in software analysis, design, methodology, and architecture
- Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), visualization, quality and efficiency in manufacturing, SCADA, automated decision control, workflow, database applications and scheduling.
- Basic knowledge on R and Python and Machine Learning is added value.
- Basic knowledge on Big Data Analysis and Cloud Computing
- Anticipates the needs for change and supports and promotes companywide programs, strategies and initiatives.
- Develop and identifies Industry / application-wide Digital technologies suitable for business use.
- Creates an environment conductive to successful interaction and customer satisfaction.
- Early engagement with Customers and explore long term partnership agreements.
- (PLUS) Experience with physical simulators (e.g., OmegaLand, Petro-SIM)
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow".
We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
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Business Development Manager - Infrastructure AI
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A high-performing enterprise sales professional responsible for driving sales ofAI Infrastructure solutions like Red Hat OpenShift, Microsoft Azure, IBM Cloud, containerized/Kubernetes-based andAI/ML solutions, targeting enterprise clients across industry verticals. This role demands a deep under standing ofcloud-native technologies,Kubernetes,AI workloads, and a consultative selling approach
Key roles and responsibilities- Own and exceed sales targets forOpenShift,Ansible, andAI/ML solution offerings
- Identify, develop, and manage key enterprise accounts in targeted sectors (e.g., BFSI, telecom, healthcare, public sector)
- Build and manage a healthy pipeline across cloud-native modernization, AI automation, and infrastructure optimization
- Collaborate with solution architects, product teams, and partners (e.g., Red Hat, NVIDIA, IBM, AWS, Azure)
- Evangelize Red Hat’s container strategy and AI roadmap to CxO-level stakeholders
- Participate in RFPs, solution proposals, and pricing negotiations
- Leverageecosystem partners to co-sell and run joint GTM campaigns
- 5–7 years in enterprise IT solution sales, with proven success incloud, containers, or AI
- Experience sellingRed Hat,OpenShift, or anyKubernetes-basedplatform
- Exposure toAI/ML solution sales(e.g., predictive analytics, intelligent automation, AI ops)
- Strong understanding of DevOps, CI/CD, and containerization
- Ability to engage bothtechnical and business decision-makers
- Comfortable navigating large enterprise accounts and long sales cycles
- Experience working with Red Hat or its partners (certification preferred)
- Newlogo acquisition and strategic account penetration
- Partner-led co-sell revenue contribution
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Solutions Manager -AI & ML -Digitalization Project
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Technical Project Manager - Generative AI
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Location: Abu Dhabi, UAE (On-site, Full-time)
Experience Required: 8–12+ years
Role Type: Full-Time
We are seeking a Technical Project Manager – Generative AI with deep expertise in managing AI/ML-driven projects, particularly in Generative AI solutions . The ideal candidate will bridge the gap between business stakeholders, data scientists, AI engineers, and software teams, ensuring timely and high-quality delivery of AI initiatives. You will oversee project execution, manage cross-functional teams, and drive the implementation of cutting-edge AI-powered solutions for enterprise-scale use cases.
Key ResponsibilitiesLead and manage end-to-end Generative AI projects , from requirements gathering to deployment and adoption.
Collaborate with stakeholders to define project scope, objectives, timelines, and deliverables.
Translate business needs into technical project requirements and align with AI/ML teams.
Oversee solution design and implementation in Generative AI models (LLMs, NLP, multimodal AI) .
Manage project risks, budgets, and dependencies, ensuring on-time and within-budget delivery .
Ensure compliance with AI governance, security, and ethical frameworks .
Drive Agile project management practices , including sprint planning, backlog grooming, and stand-ups.
Act as the liaison between business, product, data science, and engineering teams .
Track and report project progress, KPIs, and delivery milestones to leadership.
Support pre-sales, proposals, and client presentations when required.
8–12+ years of experience in IT project/program management with at least 3–5 years in AI/ML-related projects .
Proven track record of managing Generative AI, NLP, LLM, or ML projects in enterprise environments.
Strong understanding of AI/ML lifecycle (model development, training, fine-tuning, deployment, monitoring).
Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.
Familiarity with tools such as LangChain, Hugging Face, OpenAI APIs, vector databases, RAG pipelines is a strong plus.
Demonstrated experience in Agile/Scrum methodologies, Jira/Confluence .
Strong leadership, communication, and stakeholder management skills.
Knowledge of AI governance, data privacy, and ethical AI practices .
PMP/PRINCE2/Agile certifications preferred.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
Certifications in Project Management (PMP, PRINCE2, Agile) .
AI/ML certifications (AWS, Azure, GCP AI, or equivalent) preferred.
Opportunity to lead cutting-edge Generative AI projects at enterprise scale.
Work in a collaborative and innovative environment in Abu Dhabi, UAE .
Competitive compensation package with benefits.
Professional development and growth opportunities in AI/ML leadership.
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Technical Project Manager - Generative AI
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Location: Abu Dhabi, UAE (On-site, Full-time)
Experience Required: 8–12+ years
Role Type: Full-Time
We are seeking a Technical Project Manager – Generative AI with deep expertise in managing AI/ML-driven projects, particularly in Generative AI solutions . The ideal candidate will bridge the gap between business stakeholders, data scientists, AI engineers, and software teams, ensuring timely and high-quality delivery of AI initiatives. You will oversee project execution, manage cross-functional teams, and drive the implementation of cutting-edge AI-powered solutions for enterprise-scale use cases.
Key ResponsibilitiesLead and manage end-to-end Generative AI projects , from requirements gathering to deployment and adoption.
Collaborate with stakeholders to define project scope, objectives, timelines, and deliverables.
Translate business needs into technical project requirements and align with AI/ML teams.
Oversee solution design and implementation in Generative AI models (LLMs, NLP, multimodal AI) .
Manage project risks, budgets, and dependencies, ensuring on-time and within-budget delivery .
Ensure compliance with AI governance, security, and ethical frameworks .
Drive Agile project management practices , including sprint planning, backlog grooming, and stand-ups.
Act as the liaison between business, product, data science, and engineering teams .
Track and report project progress, KPIs, and delivery milestones to leadership.
Support pre-sales, proposals, and client presentations when required.
8–12+ years of experience in IT project/program management with at least 3–5 years in AI/ML-related projects .
Proven track record of managing Generative AI, NLP, LLM, or ML projects in enterprise environments.
Strong understanding of AI/ML lifecycle (model development, training, fine-tuning, deployment, monitoring).
Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.
Familiarity with tools such as LangChain, Hugging Face, OpenAI APIs, vector databases, RAG pipelines is a strong plus.
Demonstrated experience in Agile/Scrum methodologies, Jira/Confluence .
Strong leadership, communication, and stakeholder management skills.
Knowledge of AI governance, data privacy, and ethical AI practices .
PMP/PRINCE2/Agile certifications preferred.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
Certifications in Project Management (PMP, PRINCE2, Agile) .
AI/ML certifications (AWS, Azure, GCP AI, or equivalent) preferred.
Opportunity to lead cutting-edge Generative AI projects at enterprise scale.
Work in a collaborative and innovative environment in Abu Dhabi, UAE .
Competitive compensation package with benefits.
Professional development and growth opportunities in AI/ML leadership.
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