Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Manages conflict - Handling conflict situations effectively, with a minimum of noise.
Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals.
Resourcefulness - Securing and deploying resources effectively and efficiently.
Project Issue and Risk Management - Manages the process to identify, assess and prioritize issues and risks using recommended tools and disciplines. Drives actions to minimize, monitor and control risks and issues and to maximize the most positive outcomes possible.
Project Resource Management - Develops resource (expense and headcount) plans using recommended project management tools and processes to manage resources effectively.
Project Schedule Management - Manages the planned schedule using the recommended schedule management tools and processes to drive completion within the agreed timeline.
Project Scope Management - Manages a list of project deliverables (scope) using the recommended project management tools and processes to ensure that the project includes all the work required and only the work required to complete the project successfully.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
Education, Licenses, Certifications
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Minimal level of relevant work experience required.
Experience: 4–5 Years
Function: Digital, Data & Analytics
We are looking for a proactive, results-driven Project Manager with 4–5 years of experience to drive cross-functional initiatives within a Digital and Analytics organization. The ideal candidate will have strong project management capabilities, an understanding of Agile methodologies, and awareness of emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Generative AI.
The role requires someone who can independently manage projects, collaborate with diverse stakeholders, and drive initiatives from planning through successful execution. This position offers excellent growth opportunities into broader program and portfolio management responsibilities.
Key Responsibilities
Lead end-to-end planning, execution, monitoring, and delivery of digital, data, analytics, and AI initiatives.
Manage project scope, timelines, milestones, resources, risks, dependencies, and deliverables.
Apply Agile methodologies, including Scrum and Kanban, to drive effective project execution.
Coordinate cross-functional teams, including data scientists, engineers, product owners, and business stakeholders.
Establish project governance, track progress, and communicate status, risks, and decisions to leadership.
Support program-level coordination, portfolio reporting, prioritization, and resource planning.
Drive stakeholder alignment, issue resolution, and accountability for project outcomes.
Support AI/ML deployment initiatives, including coordination across development, testing, integration, deployment, and post-deployment monitoring.
Identify opportunities for process improvement, automation, and delivery efficiency.
Stay informed about emerging technologies and evolving AI adoption practices.
Required Qualifications & Skills
Bachelor's degree in Engineering, Computer Science, Business, or a related field.
4–5 years of project management experience, preferably within digital, technology, or analytics organizations.
Strong understanding of Agile methodologies and project management frameworks.
Experience with Jira, Azure DevOps, MS Project, or similar tools.
Awareness of AI/ML project lifecycles, including model development, validation, deployment, integration, and operational monitoring.
Familiarity with AI deployment considerations such as data readiness, scalability, governance, and responsible AI practices.
Excellent stakeholder management, communication, analytical, and problem-solving skills.
Ability to manage multiple priorities in a dynamic, cross-functional environment.
Agile, Scrum, or PMP certifications are an advantage.
