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Artificial Intelligence/IT Senior Project Manager
The Artificial Intelligence / IT Senior Project Manager is responsible for leading, coordinating, and delivering complex technology-driven programs, with a particular focus on Artificial Intelligence (AI), data, digital platforms, and enterprise IT systems. This role requires strong technical awareness, leadership capability, and the ability to manage cross-functional teams operating across software development, data science, cybersecurity, infrastructure, and business functions.<br id="isPasted">The role oversees all phases of project and program delivery—from concept through implementation and adoption—ensuring initiatives are delivered on time, within scope, and within budget, while aligning to business strategy, regulatory expectations, and enterprise architecture standards. <ul id="isPasted"><ul id="isPasted"><li>Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; Master’s degree preferred (e.g. Information Systems, Data Science, AI, MBA).</li><li>Minimum of 10 years’ project or program management experience, with at least 5 years leading complex IT and/or AI-enabled initiatives.</li><li>Project Management Professional (PMP), PRINCE2, or equivalent certification preferred.</li><li>Strong understanding of AI/ML concepts, software development lifecycles (Agile, Scrum, Waterfall, Hybrid), and enterprise IT environments.</li><li>Experience delivering projects involving data platforms, cloud infrastructure, cybersecurity, automation, analytics, or AI-driven solutions.</li><li>Excellent verbal and written communication skills, with the ability to translate technical concepts for non-technical stakeholders.</li><li>Proficiency with modern project and delivery tools (e.g. Smartsheet, MS Project).</li></ul><li>Competencies<ul><li>Leadership and cross-functional team management</li><li>Strategic thinking and decision making</li><li>Program governance and execution discipline</li><li>Financial and resource management</li><li>Risk identification and mitigation</li><li>Quality focus, audit readiness, and compliance mindset</li><li>Adaptability and resilience</li><li>Stakeholder engagement</li><li>Conflict resolution and negotiation</li><li>Attention to detail</li></ul></li><li>Ability to effectively communicate across multiple levels of the organization</li></ul> <ul id="isPasted"><li>Develop and maintain comprehensive project and program plans, including scope, schedules, dependencies, resource models, budgets, risks, and mitigation strategies.</li><li>Lead cross-functional teams spanning IT, Data Science, Information Security, Software Engineering, Infrastructure, Quality, Legal, and Business functions.</li><li>Deliver AI- and technology-enabled initiatives including data platforms, AI/ML solutions, process automation, system integrations, and enterprise applications.</li><li>Partner with business and functional leaders to translate strategic objectives into executable technology roadmaps and delivery plans.</li><li>Oversee external vendor, consultancy, systems integrator, and technology partner relationships to ensure quality, value, and timely delivery.</li><li>Proactively identify and manage technical, operational, security, and organizational risks.</li><li>Establish and track delivery metrics, milestones, and KPIs, reporting progress, risks, and outcomes to senior leadership and governance forums.</li><li>Manage program financials, including forecasting, cost control, value tracking, and benefits realization.</li><li>Champion continuous improvement, modern delivery practices, and the responsible, ethical adoption of AI technologies.</li><li>Support organizational change management, user adoption, and operational handover to ensure sustainable outcomes.</li></ul> <br id="isPasted"><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and innovative work environment.</li></ul><br>Disclaimer: The included statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position.
