What Jobs are available for Senior Level in the United Arab Emirates?
Showing 5 Senior Level jobs in the United Arab Emirates
Fund Associate (Mid-Senior level)
Posted 2 days ago
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Funds Lawyer Mid to Senior Associate | International Law Firms | UAE
Several top-tier international law firms are seeking talented funds lawyers (mid to senior associate level) to join their market-leading teams in the UAE. These roles offer the chance to work on the structuring, formation, and governance of cutting-edge investment funds spanning private equity, venture capital, real estate, credit, and beyond for a roster of prestigious global and regional clients.
This is an outstanding opportunity to gain exposure to headline transactions, develop a practice at the forefront of the GCCs rapidly evolving funds market, and work alongside internationally recognised partners in a dynamic growth environment.
For further information and a detailed discussion, please submit your CV to
REF | X95V649R
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ESG Sustainable Investing (mid-senior level)
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Abu Dhabi, United Arab Emirates | Posted on 06/26/2025
The Client is seeking a highly motivated and experienced ESG specialist to lead in developing, coordinating, and overseeing ESG strategies across the Client Group—including the holding company and its portfolio assets. The role involves driving ESG integration into corporate and investment processes, enhancing ESG performance, managing external reporting, and ensuring alignment with global best practices.
Strategic & Technical Oversight
Support the implementation and refinement of the Client’s ESG strategy and roadmap.
Evaluate existing ESG policies and recommend enhancements.
Review ESG-related market trends, frameworks, and rating methodologies to align with global best practices.
Analyze ESG rating and risk reports; recommend improvement and mitigation strategies.
Conduct reviews of technical environmental data (carbon, water, energy, waste, etc.).
Draft scopes and review ESG due diligence reports for new and existing investments.
Assess ESG-related risks and opportunities across the portfolio.
Draft and review the Client’s ESG and annual sustainability reports; ensure high-quality, transparent, and compliant disclosures.
Recommend suitable ESG reporting frameworks and trade body memberships.
Set, track, and report ESG KPIs across portfolio assets.
Establish ESG data collection systems to support performance scoring and trend analysis.
Monitor performance against ESG targets and advise on improvements.
Serve as the central point of coordination across internal teams (Investment, Legal, Strategy, Finance, Internal Audit, Communications) and external stakeholders (consultants, data providers, regulators).
Provide regular ESG updates to senior leadership.
Lead ESG training initiatives to embed a culture of sustainability across the Client Group.
Bachelor’s degree in Business Administration, Environmental Science, Sustainability, or related discipline.
ESG certifications (e.g., SASB, GRI, CFA ESG, PRI Academy) are advantageous.
In-depth knowledge of ESG frameworks (GRI, TCFD, SASB, UNPRI, etc.)
Familiarity with ESG regulatory landscape and upcoming compliance trends.
Understanding of ESG integration into investment processes.
Strong stakeholder management and communication skills.
High analytical capability with attention to detail.
Fluent in English (written and spoken).
Minimum 10 years of professional experience, with at least 3–5 years in a senior ESG-related role.
Prior experience in financial services or investment sectors preferred.
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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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Portfolio Digital Strategy & Architecture (senior level role)
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Abu Dhabi, United Arab Emirates | Posted on 09/16/2025
Consultz is partnering with a leading regional Sovereign Wealth Fund to recruit a seasoned technology leader to drive digital transformation, data management excellence, and AI adoption across the organization. The role requires strong technical expertise, proven project delivery experience, and the ability to bridge strategy with execution in a dynamic investment environment.
Key Accountabilities- Lead cross-functional technology programs and effectively engage stakeholders across departments.
- Operate in a matrix organization, influencing outcomes through collaboration and authority.
- AI Implementation Drive the design, development, and deployment of AI solutions that deliver measurable business value. Collaborate with business units to identify high-impact AI use cases and ensure deployment aligns with strategic goals. Establish governance and ethical frameworks for AI adoption, ensuring compliance with regulatory and organizational standards. Lead the delivery of large-scale technology and digital transformation projects, ensuring alignment with organizational strategy. Oversee project life cycles from initiation to go-live, meeting milestones, budgets, and quality standards. Mitigate risks proactively and implement corrective measures to keep programs on track.
- Data & Analytics Develop and enforce best practices in data governance, data management, and advanced analytics. Lead the deployment of data models, machine learning algorithms, and predictive analytics solutions. Partner with business stakeholders to translate complex data insights into actionable strategies. Guide software engineers, data scientists, and developers in building scalable digital platforms and applications. Ensure adherence to modern engineering principles, including agile practices, DevOps, and continuous integration/continuous delivery (CI/CD). Oversee solution architecture design, ensuring integrations are seamless across enterprise platforms.
- Technology Assessment Continuously review and evaluate the organization’s digital and technology capabilities. Identify gaps in the current technology landscape and recommend innovative solutions or optimizations. Monitor emerging technologies and assess their potential impact on organizational competitiveness.
- Automation Identify opportunities where AI-driven and intelligent process automation can replace manual workflows. Implement robotic process automation (RPA), intelligent document processing, and AI-enabled tools to enhance productivity. Measure efficiency gains and ensure scaling across functions.
- Strategic Contribution Work closely with leadership teams to translate organizational goals into practical technology strategies and roadmaps. Define and prioritize technology initiatives based on their business impact, scalability, and feasibility. Provide thought leadership to position the organization as a digital-first, data-driven, and AI-enabled enterprise. Evaluate, select, and manage relationships with technology vendors, consultants, and third-party providers. Negotiate contracts to drive cost-efficiency and secure cutting-edge solutions. Ensure vendor deliverables are aligned with organizational standards and expectations.
- Project Oversight Establish governance frameworks to oversee multiple, concurrent technology programs. Provide structured reporting to leadership, tracking KPIs and business outcomes. Ensure programs deliver sustainable value rather than short-term results. Collaborate effectively with internal teams, consultants, and partners. Lead small, focused technology teams to deliver high-impact projects. Manage stakeholder expectations, building trust across technical and business audiences.
- Education : Bachelor’s in Computer Science, Data Science, AI, or related field (required); Master’s preferred.
- Certifications : Relevant credentials in data, AI, or technology are advantageous.
- Knowledge & Skills Deep expertise in data science, machine learning, and AI deployment. Strong understanding of systems architecture and integration. Analytical and problem-solving skills with an innovative mindset. Ability to align technology initiatives with business strategy. Excellent communication and stakeholder management skills. Detail-oriented with a focus on quality and long-term outcomes.
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Managing Consultant - ESIA & IFC Performance Standards (Mid-Senior Level)
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