Experience and Skill Set Requirements
General Skills:
Project Management : Gathers requirements, creates detailed project schedules, monitors and forecasts project costs, and manages project schedules, deliverables, and scope.
Leadership Experience: Strong in leading development and scrum teams. Plan and leads all phases of complex enterprise-wide projects, scheduling activities, explaining procedures, and monitoring the work of assigned technical resources.
Coordination and Communication : Coordinates project processes, develops guidelines, clarifies roles, resolves conflicts, and ensures knowledge sharing.
Risk Management : Identifies and mitigates risks, prioritizes issues, and recommends strategies to senior executives.
Con fl ict Resolution : Ability to identify and address conflicts between project and functional areas.
Client Relationship Management : Skills in managing client expectations, providing updates, and resolving potential conflicts.
Stakeholder Engagement : Participates in steering committees, provides reporting to senior executives, and promotes best practices for project management.
Technology Recommendations : Ability to recommend software, hardware, and technology resources.
Desirable Skills:
Project Management Knowledge : Understanding of PMI's Project Management Body of Knowledge.
Accessibility Standards : Familiarity with the Accessibility for Ontarians with Disabilities Act (AODA) and related regulations.
Scoring Criteria
Presentation of a project - 15%
As part of the selection process, we invite all selected candidates to prepare a presentation that includes the following: A description of a project they personally managed
Main project challenges and risks and how they were resolved.
Any use of AI functionality to expedite the project timelines or reduce risk and cost.
Selected candidates will present their project as part of the interview process.
Project and Team Management 35%
Experience in managing Scrum or technical teams.
Leads project teams to deliver high-quality products and services.
Strong Knowledge and /or experience of using AI tools for Project Management
Resolves team impediments to increase the effectiveness of the development team.
Identifies areas for improvement to boost the productivity of the Scrum Team.
Facilitates and supports Daily Standup, Sprint Planning, Sprint Review, and Retrospective.
Proficient in requirements refinement, story point estimation, velocity, retrospection, and other scrum techniques.
Identifies, manages, and reports risks and issues.
Communication and Collaboration 25%
Excellent ability to develop crisp, concise, and engaging reports and presentation material for various audience.
Strong verbal and written communication skills.
Collaborates with diverse teams and negotiates solutions with multiple stakeholders.
Manages client relationships, providing updates and resolving potential conflicts.
Excellent analytical, problem-solving, and decision-making skills.
Effective interpersonal, negotiation, and conflict resolution skills.
Business and System Analysis 25%
Conducts review of business/system analysis to identify gaps in supporting software and product development.
Strong Knowledge and /or experience of using AI tools for Business Analysis
Collaborates with the Ministry's product owner to prioritize the product backlog.
Ability to recommend software, hardware, and technology resources.
Note: Work assets such as laptops are not permitted to be taken out Province of Ontario without written permission from ADM/CIO.
Must Haves:
Extensive experience managing stakeholders.
Project Management: Gathers requirements, creates detailed project schedules, monitors and forecasts project costs, and manages project schedules, deliverables, and scope.
Coordination and Communication: Coordinates project processes, develops guidelines, clarifies roles, resolves conflicts, and ensures knowledge sharing.
Managing project budget and timelines.
Experience with Data & AI Governance processes and technologies
Experience with Azure and Databricks as well as AI technologies
Nice to have:
Experience with Azure Cloud Data services, including Data Factory, Databricks, Data Lake, Unity Catalogue, SQL Warehouse
Experience with AI, LLM and related technologies
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