
Project Manager - Wealth Management
DeepLight AI · Abu Dhabi
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
What the team is looking for
Use this list as a quick fit check before you apply.
- 01Bachelor's degree
- 02Master's degree preferred
- 036 years experience
- 043 years AI initiatives
- 05Wealth management experience
- 06Enterprise scale ML
- 07Data science projects
- 08AI ML lifecycle
- 09Data preparation
- 10Model development
- 11Agile methodologies
- 12Traditional methodologies
- 13Jira
- 14Microsoft Project
- 15Azure DevOps
- 16Data privacy
- 17Security requirements
- 18Data architectures
- 19Cloud platforms
- 20AI technologies
- 21Stakeholder management
- 22PMP
- 23PRINCE2
- 24Agile certifications
- 25AI governance frameworks
- 26Leadership
- 27Communication
- 28Problem-solving
- 29Cross cultural teams
- 30Geographically distributed teams

DeepLight AI
Abu Dhabi
Job details
- Work model
- Hybrid: Abu Dhabi
- Commitment
- Full Time
- Category
- Finance & Banking
- Posted
- Today