About the Role
We are looking for an experienced Project Manager – Data, Analytics & AI to lead and coordinate projects across our data and analytics initiatives.
In this role, you will work closely with data engineers, data analysts, and AI/ML teams to ensure the successful delivery of data-driven solutions that support business decision-making and innovation across our digital banking platform.
The ideal candidate has strong experience managing data and analytics projects, coordinating cross-functional technical teams, and delivering complex technology initiatives.
Key Responsibilities
Project Management
- Lead end-to-end delivery of data, analytics, and AI-related projects.
- Define project scope, timelines, milestones, and deliverables.
- Ensure projects are delivered on time, within scope, and within budget.
Collaboration
- Work closely with data engineers, data scientists, analysts, and product teams.
- Facilitate communication between technical teams and business stakeholders.
Data & Analytics Initiatives
- Manage initiatives related to data platforms, analytics solutions, and AI models.
- Coordinate implementation of data pipelines, reporting tools, and analytics platforms.
Monitoring & Reporting
- Track project progress and ensure alignment with business objectives.
- Identify risks, dependencies, and potential bottlenecks.
Process Optimization
- Improve project delivery processes and data team collaboration.
- Ensure alignment with Agile or hybrid delivery frameworks.
Required Qualifications
Experience
- Minimum 3+ years of experience in project management
- Proven experience managing data, analytics, or technology projects
- Project management certifications such as PMP, PRINCE2, or Agile certifications
Technical Understanding
- Strong understanding of data platforms, analytics tools, or AI/ML workflows
- Experience working with data engineering or analytics teams
Methodologies
- Experience with Agile, Scrum, or hybrid project management frameworks
Professional Skills
- Strong stakeholder management skills
- Excellent communication and leadership abilities
- Strong analytical and problem-solving skills
Preferred Qualifications
- Experience in data analytics, AI, or machine learning projects
- Experience working in financial services, fintech, or digital banking
- Familiarity with data platforms, data warehouses, or BI tools
