Project Manager – Data, Analytics & AI

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