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Job Purpose:We are looking for an AI Transformation & Execution Lead to accompany a telecom tower infrastructure company in defining, structuring, and implementing its global AI strategy.This role requires a hybrid profile: someone who understands business priorities, identifies high-impact AI opportunities, translates operational pain points into practical use cases, and drives execution with technical teams, business units, and leadership. The person will act as a bridge between executive strategy, operational realities, and AI implementation from brainstorming and use case discovery to roadmap definition, solution design, vendor coordination, and deployment follow-up. This is a hands-on transformation role, not a pure advisory or strategy position. The successful candidate will be expected to actively drive initiatives, coordinate implementation efforts, work closely with operational teams, and help move AI use cases from concept to deployment and adoption.Roles and Responsibilities1. AI Strategy & RoadmapSupport the company in defining its global AI vision and strategic priorities.Identify where AI can create measurable impact across TowerCo operations, finance, energy, field maintenance, asset management, customer/operator interfaces, and internal productivity.Structure AI initiatives into a clear roadmap: quick wins, medium-term projects, and strategic transformation programs.Help leadership prioritize use cases based on business value, feasibility, data availability, and operational readiness.2. Use Case Discovery & Business WorkshopsLead workshops with business, technical, finance, operations, and executive teams.Translate business pain points into concrete AI use cases.Challenge vague AI ideas and turn them into actionable, realistic initiatives.Help teams understand what AI can and cannot do, including risks, limitations, and required data foundations.Document use cases with clear objectives, expected benefits, required data, stakeholders, and implementation complexity.3. Solution Design & Execution SupportTranslate selected use cases into functional and technical requirements.Work with internal teams, vendors, and technology partners to design AI-powered solutions.Support the creation of prototypes, MVPs, pilots, and production deployment plans.Ensure AI solutions are aligned with real operational workflows, not just theoretical innovation.Follow up on execution, track progress, remove blockers, and ensure delivery remains connected to business objectives.4. AI Governance, Risk & AdoptionHelp define safe and responsible AI usage principles.Identify risks related to data privacy, hallucinations, automation, decision-making, and operational dependency.Support the creation of internal AI governance frameworks.Guide teams on human-in-the-loop workflows, validation processes, and progressive automation.Drive adoption by making AI understandable and usable for non-technical teams.5. Cross-Functional CoordinationAct as the link between executive leadership, business departments, IT, data teams, operations, finance, and external AI providers.Ensure all stakeholders are aligned on priorities, scope, expected outcomes, and timelines.Prepare executive presentations, strategy notes, workshop materials, implementation documents, and decision-support content.Support communication around AI transformation internally and externally.Required QualificationsEducationBachelor’s degree in Artificial Intelligence, Data Science, Information Technology, Engineering, Business Information Systems, or a related field.Master’s degree or relevant AI / Digital Transformation certifications is considered a strong advantage.Experience5-7+ years of professional experience across AI, technology strategy, digital transformation, product leadership, or telecom/infrastructure consulting.Minimum 4-5 years of hands-on experience with AI, data, automation, machine learning, or generative AI initiatives.Proven experience leading projects from discovery and business workshops to solution design, MVP/pilot execution, and production deployment follow-up.Experience working with C-level leaders and cross-functional teams in complex B2B or infrastructure environments.Prior exposure to telecom infrastructure, TowerCo, industrial operations, ERP/OSS environments, or field operations is considered a plus, but is not mandatory.Experience evaluating and coordinating AI vendors, platforms, system integrators, or technology partners is highly valuable.CompetenciesKey SkillsAI strategyGenerative AI and LLMsBusiness use case discoveryAI product designWorkshop facilitationOperational transformation and AI adoptionData and system integration awarenessExecutive communicationRoadmap planningAI governanceChange managementProject execution follow-upTechnicalStrong understanding of AI, generative AI, machine learning, automation, and data-driven decision-making.Ability to translate complex AI concepts into simple, business-friendly language.Ability to quickly understand operational environments and translate business problems into practical AI solutions.Strong business sense and ability to identify where AI can generate real ROI.Experience leading workshops, stakeholder interviews, and executive-level discussions.Hands-on and execution-oriented mindset with the ability to independently drive initiatives from idea to deployment.Ability to move from strategy to execution, not only provide high-level recommendations.Strong understanding of operational workflows, data requirements, system integration, and implementation constraints.Comfortable working with both technical teams and non-technical business leaders.Excellent communication, documentation, and presentation skills.Ideal BackgroundTech Founder, CTO, AI Engineer, AI product management, or digital transformation or applied AI implementation roles in B2B environments.Experience building and deploying AI products in B2B environments.Exposure to infrastructure, telecom, industrial, logistics, field operations, ERP/OSS systems, or other operationally intensive environments is beneficial.Experience with AI assistants, predictive models, optimization systems, agentic AI, LLMs, and automation platforms.Previous experience accompanying companies from ideation to pilot and production deployment.Expected Outcomes Build a clear and realistic AI transformation roadmap.Identify high-value AI use cases across departments.Launch practical pilots and MVPs.Move from isolated AI experiments to structured AI adoption.Improve operational efficiency, energy optimization, field productivity, finance automation, and decision-making.Establish safe, scalable, and business-aligned AI practices across the organization.

Chief Technology Officer Sector: Technology / Fintech / Banking / Government Location: Dubai or Riyadh Reporting to: Chief Executive Officer Package: AED 850,000 total compensationThe RoleThe Chief Technology Officer leads the organisation's entire technology vision, architecture, and execution. This is a strategic leadership role as much as a technical one, requiring someone who can translate complex technology decisions into clear commercial outcomes for the board, drive digital transformation at pace, and build and retain a world-class engineering function in a highly competitive talent market.Key ResponsibilitiesDefine and own the technology strategy, roadmap, and architecture across the organisation. Lead the engineering, product, data, and infrastructure teams, creating a culture of technical excellence, pace, and accountability. Partner with the CEO and leadership team to ensure technology investment is aligned to commercial priorities and regulatory requirements. Drive AI, machine learning, and data capability as a core competitive advantage. Oversee cybersecurity posture, disaster recovery, and technology risk. Build strategic vendor and partner relationships. Represent the technology function at board level and with key external stakeholders.The Person15 plus years in technology leadership, with at least five years as CTO, VP Engineering, or equivalent. Deep experience building and scaling engineering teams in complex organisations. You will be equally comfortable in a boardroom and a technical architecture discussion. Experience in fintech, banking technology, or large-scale platform businesses is highly valued. Familiarity with the GCC regulatory and data sovereignty landscape is advantageous.

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings.

Job DescriptionPurpose of this Role:The VP and Head of AI Lab leads the bank's AI delivery engine. The role is accountable for executing the bank's AI operating model and strategy, scaling its portfolio of strategic AI assets, and operationalizing AI across the enterprise so that it generates measurable value for customers, employees, and shareholders.The Head of AI Lab oversees two delivery squads that build and run the bank's flagship AI products, while also enabling the wider organization to adopt AI tools, platforms, and capabilities responsibly. The role combines hands-on portfolio leadership with strategic ecosystem building, executive engagement, financial stewardship, and people development.What You Will DoStrategy and Operating Model ExecutionTranslate the bank's AI strategy into an executable portfolio of products, releases, and platform capabilities.Operate the AI operating model end-to-end, from intake and prioritization through delivery, deployment, and continuous improvement.Maintain alignment between the AI Lab roadmap, enterprise priorities, and divisional business plans.Squad and Portfolio LeadershipLead two diverse squads covering customer experience AI products and internal productivity AI solutions, each with distinct missions, talent profiles, and stakeholders.Partner with the AI Delivery Lead to remove blockers, mitigate delivery risk, and ensure on-time release of strategic assets and committed milestones.Empower squad leads and product managers to operate with autonomy, clarity of priorities, and full ownership of outcomes.Democratization and Operationalization of AIEquip the organization with the right AI tools, platforms, and reusable assets to accelerate safe, productive adoption across functions.Build a community of practice and an enablement framework so that teams across the bank can apply AI confidently in their day-to-day work.Drive change management, capability uplift, and cultural reinforcement so AI becomes embedded in everyday ways of working.Stakeholder Management and Executive Reporting.Prepare and run weekly Chief Customer Officer reviews and monthly CEO updates, ensuring material is high quality, aligned with strategic priorities, and prepared well in advance.Build trusted relationships with department heads and squad sponsors to socialize AI opportunities and convert them into prioritized, well-scoped initiatives.Maintain alignment with peer leaders across Enterprise Architecture, Technology Delivery, Risk, Compliance, and other AI-related functions. Partnerships, Ecosystem, and R&DIdentify, evaluate, and onboard external AI providers, technology partners, and strategic investment opportunities to accelerate the bank's AI ambitions.Build and nurture relationships across the regional and global AI ecosystem to bring leading capabilities into the bank.Sustain a meaningful R&D capability within the Lab, whether through in-house experimentation, academic collaborations, or co-development with vendors and partners.Agile Practice and Cross-Functional Alignment.Operate as an active member of the Agile community, working closely with the Enterprise Project Management Office (EPMO), the Agile practice, and the relevant chapters.Synchronize AI Lab ceremonies, releases, and planning cycles with enterprise delivery rhythms and quarterly business reviews. People Leadership and DevelopmentBuild, coach, and retain a high-performing, diverse team of AI product, delivery, engineering, and science talent.Set clear performance expectations, invest in career development, and shape a culture of accountability, curiosity, and disciplined execution.Financial Accountability.Own the AI Lab's CapEx and OpEx envelope in collaboration with the AI Delivery Lead and Finance partners.Ensure the program is delivered within budget and that investment decisions are tied to measurable business outcomes. Decision-Making AuthorityPrioritization and sequencing of the AI Lab portfolio within the agreed strategic envelope.Selection of AI tooling, platforms, and architectural patterns within enterprise governance.Selection and onboarding of AI vendors, partners, and research collaborators.Resourcing decisions across the squads, including hiring, talent allocation, and role design.Release and go-live decisions for AI products, in coordination with Risk, Compliance, and Technology partners.What We Are Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative or technology discipline. A Master's or post-graduate qualification in AI, Data Science, or a related field is a plus but not required.10 to 12 years of progressive experience across AI, data science, advanced analytics, or technology product delivery, with at least 3 to 4 years leading teams of engineers, data scientists, or AI product talent.Hands-on experience delivering AI or analytics products end-to-end, from concept through production and adoption. Direct experience with Generative AI is preferred.Experience working in banking, financial services, or another regulated industry is preferred. Exceptional candidates from technology, consulting, or product backgrounds with strong domain partners will also be considered.Demonstrated ability to manage a portfolio of initiatives, executive-level stakeholders, and a meaningful budget.Comfortable operating inside an agile delivery environment and partnering with product, engineering, and control functions.Required CompetenciesAI and Machine Learning Strategy: ExpertGenerative AI, Large Language Models, and Agentic Systems: ExpertAI Product Delivery and MLOps: ExpertCloud and Data Platforms: AdvancedAI Governance, Responsible AI, and Model Risk: AdvancedSolution Architecture for AI: AdvancedCybersecurity and Data Privacy Awareness: Advanced

Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception. Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons. With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in. Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment. In the Middle East, Sia provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficient organisation, transformation & change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.Why join the Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee WellbeingThese are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.Job DescriptionSia is seeking a motivated and analytical UAE National with a background in Data Science, Artificial Intelligence, or related fields to join our consulting team in the Middle East. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are passionate about leveraging data and AI to solve complex business challenges.You will work closely with senior consultants and clients to support strategy development, data analysis, AI use-case identification, and digital transformation initiatives.Key ResponsibilitiesSupport consulting engagements across strategy, digital transformation, and AI initiativesAnalyze structured and unstructured data to generate actionable insightsAssist in identifying AI and automation opportunities for clientsDevelop dashboards, reports, and presentations for client stakeholdersConduct market research, benchmarking, and industry analysisSupport development of business cases for AI-driven solutionsParticipate in client meetings and workshopsPrepare high-quality presentations and documentationQualificationsUAE National Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Engineering, or related field0–1 year of experience (consulting exposure preferred)Strong analytical and problem-solving skillsBasic understanding of machine learning concepts and data modelingFamiliarity with tools such as Python, SQL, Power BI, Tableau, or similarStrong communication and presentation skills (Arabic & English is a must)High motivation to build a career in management consultingAdditional InformationJoining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, and Employee Wellbeing, ensuring a fulfilling career path. What a career at Sia offer you? Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers. Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future. Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills. Our Commitment to Diversity At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients’ unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood. To learn more about our mission, values, and business sectors, please visit our website.Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.