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Portfolio Digital Strategy & Architecture (senior level role)

Portfolio Digital Strategy & Architecture (senior level role)

ConsultzAbu Dhabi, Abu Dhabi Emirate, United Arab Emirates
10 منذ أيام
الوصف الوظيفي

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.

Requirements

Qualifications & Experience

  • 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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