Senior Manager – Technology Transformation

Dubai Holding; Dubai; On-site; AED 400,000 - 700,000; Full time

Job summary

Dubai Holding is a global investment company driving technology, data and digital transformation across its diversified portfolio. The Senior Manager – Technology Transformation leads the identification, design and delivery of data, analytics, automation and AI initiatives with hands-on implementation alongside cross-functional teams.

The role reports to the Executive Director – Portfolio Operations and Intelligence and focuses on turning technology opportunities into measurable value, shaping

Qualifications

• 6–8 years of experience in technology transformation and data products.
• Proven ability to turn business problems into technical solutions.
• Experience with AI, analytics, automation and product ownership.

Responsibilities

• Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.
• Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.
• Assess current technology and data capability within assigned business areas, and identify gaps and the capability needed.
• Track emerging technology, data and AI developments, and turn the relevant ones into practical use cases for DHI.
• Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.
• Define the master data and systems integration approach for DHI investment and portfolio data, establishing a single source of truth in line with Group architecture and data standards, for approval by the Executive Director.
• Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.
• Develop business cases for assigned initiatives, quantify benefit, cost, feasibility and risk.
• Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.
• Prioritize initiatives on value, feasibility, risk and strategic alignment, and make recommendations to the Executive Director.
• Track and report benefits realised against the approved business case.
• Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.
• Build and maintain ETL/ELT processes and data transformation workflows.
• Write and optimize SQL, Python and related analytical code.
• Develop prototypes, proofs of concept and minimum viable products to test feasibility before committing to full investment.
• Troubleshoot technical issues and continuously improve the performance, scalability and reliability of solutions.
• Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.
• Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.
• Develop management reporting, KPI frameworks and decision-support solutions that give leadership a reliable view of performance.
• Conduct exploratory, diagnostic and predictive analysis. Design and implement automation, machine learning, generative AI and advanced analytics use cases, assessing business value, data readiness, technical feasibility and associated risks.
• Drive user adoption, product enhancements and continuous improvement.
• Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.
• Comply with Group Technology governance frameworks, architecture standards, stage gates and change controls. Prepare initiative submissions for the relevant governance forums.
• Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.
• Identify delivery risks, dependencies and issues early. Resolve them within the initiative and elevate material matters to the Executive Director.
• Ensure solutions are designed for adoption, supportability and scale. Manage the transition to run, with ownership and the support model agreed.
• Manage technology vendors, systems integrators and implementation partners on assigned initiatives day to day.
• Monitor partner delivery against contracted outcomes, quality and timelines, and elevate commercial or delivery issues to the Executive Director.
• Contribute market insight to vendor evaluation and solution selection.
• Build effective working relationships with DHI department leads, functional teams, architects, engineers and analysts to gather input and secure alignment.
• Facilitate workshops, discovery sessions and solution design activities. Explain technical concepts in clear commercial terms for non-technical stakeholders.
• Plan and deliver change enablement and user adoption activities, so deployed capability is used and delivers value.
• Report progress, risks, recommendations, insights and realised value to senior stakeholders.

Skills

Technology transformation

Data product development

Applied AI

Stakeholder management

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering or related field

Advanced degree (MBA) preferred

Tools

Databricks

Azure AI Foundry

Spark

Hive

Palantir Foundry

SQL

Python

Job description

Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.

Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 284+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.

For the Good of Tomorrow

Dubai Holding Investment is looking to hire a Senior Manager – Technology Transformation role reporting to the Executive Director – Portfolio Operations and Intelligence. The role holder is responsible for identifying, developing and delivering technology, data and digital transformation initiatives across DHI, and for turning the technology transformation agenda into solutions that are deployed, adopted and deliver measurable value.

The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands-on role. The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.

Key Responsibilities:

• Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.
• Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.
• Assess current technology and data capability within assigned business areas, and identify gaps and the capability needed.
• Track emerging technology, data and AI developments, and turn the relevant ones into practical use cases for DHI.
• Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.
• Define the master data and systems integration approach for DHI investment and portfolio data, establishing a single source of truth in line with Group architecture and data standards, for approval by the Executive Director.

Investment Case & Value Quantification

• Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.
• Develop business cases for assigned initiatives, quantifying benefit, cost, feasibility and risk.
• Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.
• Prioritize initiatives on value, feasibility, risk and strategic alignment, and make recommendations to the Executive Director.
• Track and report benefits realised against the approved business case.

Hands-On Technical Delivery

• Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.
• Build and maintain ETL/ELT processes and data transformation workflows.
• Write and optimize SQL, Python and related analytical code.
• Develop prototypes, proofs of concept and minimum viable products to test feasibility before committing to full investment.
• Troubleshoot technical issues and continuously improve the performance, scalability and reliability of solutions.

Data, Analytics, AI & Product Ownership

• Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.
• Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.
• Develop management reporting, KPI frameworks and decision-support solutions that give leadership a reliable view of performance.
• Conduct exploratory, diagnostic and predictive analysis. Design and implement automation, machine learning, generative AI and advanced analytics use cases, assessing business value, data readiness, technical feasibility and associated risks.
• Drive user adoption, product enhancements and continuous improvement.

Transformation Delivery

• Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.
• Comply with Group Technology governance frameworks, architecture standards, stage gates and change controls. Prepare initiative submissions for the relevant governance forums.
• Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.
• Identify delivery risks, dependencies and issues early. Resolve them within the initiative and elevate material matters to the Executive Director.
• Ensure solutions are designed for adoption, supportability and scale. Manage the transition to run, with ownership and the support model agreed.
• Manage technology vendors, systems integrators and implementation partners on assigned initiatives day to day.
• Monitor partner delivery against contracted outcomes, quality and timelines, and elevate commercial or delivery issues to the Executive Director.
• Contribute market insight to vendor evaluation and solution selection.

Stakeholder Engagement & Change Adoption

• Build effective working relationships with DHI department leads, functional teams, architects, engineers and analysts to gather input and secure alignment.
• Facilitate workshops, discovery sessions and solution design activities. Explain technical concepts in clear commercial terms for non-technical stakeholders.
• Plan and deliver change enablement and user adoption activities, so deployed capability is used and delivers value.
• Report progress, risks, recommendations, insights and realised value to senior stakeholders.

Who we are looking for:

• 6 – 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.
• Demonstrated experience personally taking a problem through to a production-grade product.
• Demonstrated experience taking initiatives from business case through delivery, adoption and realised benefits.
• Proven experience working directly with senior business stakeholders, cross-functional technical teams and delivery partners.
• Experience in the GCC / Dubai market, and exposure to alternative asset management, principal investment or portfolio company environments preferred.

Education / Professional Certifications:

• Bachelor’s degree in computer science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.
• Advanced degree, such as an MBA, preferred.
• Relevant cloud, data platform, AI or programme management certifications advantageous.
• Technology, data and digital transformation planning and roadmap development
• Business case development, value quantification and benefits realisation
• Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry
• Proficiency in Python, SQL, PL/SQL, Spark and similar languages
• Data modelling, design patterns and highly scalable, secure analytical solution design
• APIs, orchestration, scheduling and integration patterns across structured and unstructured data and common file formats
• Building and evaluating analytics, automation, machine learning and generative AI prototypes and products
• Data governance, metadata, lineage, master data, data quality, information security, privacy and responsible AI
• Programme and product delivery, including agile and hybrid methods
• Vendor and partner delivery management
• Change enablement, adoption and user engagement

This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.