Project Manager - Wealth Management

DeepLight AI · Abu Dhabi

Hybrid: Abu DhabiFull TimeFinance & Banking
Posted Today

Job description

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.

At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.

Responsibilities

  • Lead and manage multiple concurrent Wealth Management projects throughout their entire lifecycle, ensuring successful delivery within scope, budget, and timeline.
  • Develop and maintain comprehensive project plans, including resource allocation, risk management, and contingency planning for wealth management implementations.
  • Facilitate communication between technical teams (data scientists, ML engineers) and business stakeholders, ensuring alignment with business objectives.
  • Establish and implement project management methodologies suitable for AI development, incorporating both Agile and traditional approaches as needed.
  • Create and maintain project documentation, including requirements, specifications, status reports, and performance metrics.
  • Manage project budgets, resource allocation, and vendor relationships for wealth management initiatives.
  • Identify and mitigate project risks, particularly those unique to wealth management implementations such as data quality, model performance, and ethical considerations.
  • Lead sprint planning, retrospectives, and status meetings while fostering a collaborative environment.
  • Monitor project KPIs and create executive-level reporting on project status, risks, and outcomes.
  • Guide stakeholder expectations regarding wealth management capabilities, limitations, and implementation timelines.

Requirements

  • Bachelor's degree in Computer Science, Business Administration, or related field (Master's degree preferred).
  • Minimum of 6 years of experience managing complex technology projects, with at least 3 years specifically focused on Data and AI initiatives.
  • Experience within project management in wealth management.
  • Demonstrated success in delivering enterprise-scale machine learning or data science projects.
  • Strong understanding of AI/ML development lifecycle, including data preparation, model development, and deployment.
  • Proven experience with both Agile and traditional project management methodologies.
  • Excellent knowledge of project management tools (e.g., Jira, Microsoft Project, Azure DevOps).
  • Strong understanding of data privacy, security requirements, and ethical considerations in AI projects.
  • Solid technical background with understanding of data architectures, cloud platforms, and AI technologies.
  • Strong stakeholder management skills and ability to communicate complex technical concepts to non-technical audiences.
  • Professional certifications such as PMP, PRINCE2, or Agile certifications are preferred.
  • Experience with AI governance frameworks and best practices for responsible AI development.
  • Outstanding leadership, communication, and problem-solving skills.
  • Experience working with cross-cultural, geographically distributed teams.

Benefits

  • Competitive salary and performance bonuses
  • Comprehensive health insurance
  • Professional development and certification support
  • Opportunity to work on cutting-edge AI projects
  • Flexible working arrangements
  • Career advancement opportunities in a rapidly growing AI company

Skills & tools

Project ManagementAgileJiraAzureAIData ScienceMLRisk Management

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree
  2. 02Master's degree preferred
  3. 036 years experience
  4. 043 years AI initiatives
  5. 05Wealth management experience
  6. 06Enterprise scale ML
  7. 07Data science projects
  8. 08AI ML lifecycle
  9. 09Data preparation
  10. 10Model development
  11. 11Agile methodologies
  12. 12Traditional methodologies
  13. 13Jira
  14. 14Microsoft Project
  15. 15Azure DevOps
  16. 16Data privacy
  17. 17Security requirements
  18. 18Data architectures
  19. 19Cloud platforms
  20. 20AI technologies
  21. 21Stakeholder management
  22. 22PMP
  23. 23PRINCE2
  24. 24Agile certifications
  25. 25AI governance frameworks
  26. 26Leadership
  27. 27Communication
  28. 28Problem-solving
  29. 29Cross cultural teams
  30. 30Geographically distributed teams