About the role

IT Project Manager at High Tech Genesis overseeing data architecture, platforms, and governance initiatives in technology innovation.

Responsibilities

Lead end-to-end delivery of projects related to data architecture, data platforms, and data governance initiatives.
Develop and manage project plans, timelines, budgets, resource allocation, and deliverables.
Coordinate cross-functional teams including data architects, engineers, platform teams, governance leads, and business stakeholders.
Ensure alignment of project outcomes with enterprise data strategy, architecture standards, and governance frameworks.
Manage project scope, risks, issues, dependencies, and change control processes.
Facilitate stakeholder engagement, workshops, and regular status reporting to senior leadership.
Drive implementation of data governance processes, policies, and controls where applicable.
Support platform modernization, data integration, and data management initiatives.
Ensure compliance with organizational, regulatory, and data management standards.
Track and communicate project performance metrics and delivery outcomes.
Promote best practices in project management, delivery methodology (Agile, Waterfall, or hybrid), and continuous improvement.

5 years of IT project management experience, preferably in enterprise environments.
Proven experience delivering large-scale or complex technology initiatives.
Strong knowledge of project management methodologies (Agile, Scrum, Waterfall, or hybrid).
Demonstrated ability to manage multiple stakeholders and cross-functional teams.
Experience with project governance, risk management, and change management processes.
Excellent communication, leadership, and stakeholder management skills.
Hands-on experience delivering projects involving one or more of the following:
o Data architecture initiatives
o Enterprise data platforms or cloud data platforms
o Data governance frameworks and implementation
o Data management, integration, or data quality programs
Understanding of enterprise data ecosystems and data lifecycle management.
Familiarity with modern data technologies, data platforms, or data infrastructure environments.
Strong understanding of IT systems, enterprise architecture, and data-driven solutions.
Ability to translate technical concepts for business stakeholders.
Experience working with technical teams including architects, engineers, and platform specialists.
Strong analytical and problem-solving capabilities.
PMP, PRINCE2, or equivalent project management certification preferred.
Agile certifications (e.g., Scrum Master) considered an asset.