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Picton Mahoney Asset Management

Alternative investment management with hedging strategies

AI Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaHybrid

About the Job

Requirements

  • At least 5 years of experience in program management, project management, or a similar role, preferably within technology, data, or complex business environments.
  • Experience managing AI, machine learning, data, analytics, or technology initiatives from planning through delivery.
  • Strong understanding of the software development lifecycle and experience working with technical teams.
  • Ability to manage complex, cross-functional programs involving multiple stakeholders and competing priorities.
  • Strong organizational and execution skills, including managing multiple initiatives and maintaining visibility across a portfolio of work.
  • Ability to communicate effectively with technical and non-technical audiences and manage stakeholders.
  • Ability to operate in a fast-moving environment, bringing structure without creating unnecessary process.

Responsibilities

  • Maintain a single, trusted view of AI initiatives, including project status, timelines, milestones, dependencies, and expected completion dates.
  • Identify and escalate risks, blockers, and potential delays, and provide leadership with visibility into what is needed to keep initiatives moving.
  • Own and maintain AI project boards in Asana, keeping information accurate, current, and useful to leadership and delivery teams.
  • Prepare regular program updates on overall progress, priorities, risks, and outcomes for executives.
  • Lead AI initiatives end to end, from ideation and planning through implementation, deployment, and scaling.
  • Develop program roadmaps, timelines, milestones, priorities, and success measures.
  • Keep AI initiatives aligned with business priorities and organizational strategy.
  • Establish appropriate structure, governance, and accountability to keep programs moving forward.
  • Bridge technical teams and business stakeholders.
  • Translate executive priorities into actionable objectives for delivery teams, and update leadership on progress, risks, and decisions required.
  • Translate complex AI and technology concepts into clear business implications and outcomes.
  • Build alignment across leadership, product, engineering, data, and business teams.
  • Facilitate communication and decision-making across stakeholders with different priorities and levels of technical expertise.
  • Manage multiple AI initiatives simultaneously, keeping them on track and aligned with agreed timelines, priorities, and budgets.
  • Manage risks, dependencies, resource constraints, and blockers proactively.
  • Bring structure and accountability to programs while adapting processes to the needs of each team and initiative.
  • Follow up with teams on action items, clarify ownership, resolve outstanding issues, and ensure commitments are delivered.
  • Improve program delivery, visibility, and ways of working.
  • Partner with business and technical stakeholders to identify and prioritize high-value AI use cases.
  • Support the development of business cases, investment proposals, and success measures for AI initiatives.
  • Evaluate opportunities based on business value, feasibility, risk, and organizational readiness.
  • Track outcomes and help ensure AI investments deliver measurable business impact.
  • Work with data scientists, machine learning engineers, software engineers, and IT teams to operationalize AI solutions.
  • Incorporate data governance, quality, security, risk, and compliance considerations into program planning.
  • Coordinate model deployment, monitoring, and lifecycle management across teams.
  • Apply knowledge of the software development lifecycle to help AI initiatives move from development through production.
  • Support adoption of AI solutions across the organization.
  • Develop communication, stakeholder engagement, and training strategies to help teams understand and adopt new capabilities.
  • Identify adoption challenges and work with stakeholders to address them.
  • Help foster a culture that embraces data, technology, and responsible use of AI.

Desired Qualifications

  • Experience in financial services, asset management, or another regulated environment.
  • Familiarity with AI and machine-learning concepts and terminology, including understanding how AI initiatives move from concept to production.
  • Experience with program or project management tools such as Asana, Jira, Confluence, or similar platforms.
  • Experience with change management, organizational adoption, or technology transformation initiatives.
  • Experience working with senior leadership and providing executive-level program reporting.

About the Company

Picton Mahoney Asset Management

Alternative investment management with hedging strategies

This company provides Canadian investors with access to alternative investment strategies through mutual funds and other investment solutions. It focuses on risk management and diversification by using deep quantitative research, fundamental analysis, and hedging techniques to build portfolios that aim to perform well across different market conditions, especially during downturns. The firm emphasizes a philosophy of building portfolios that can withstand bear markets and deliver more consistent, risk-adjusted returns by reducing correlation with traditional asset classes like stocks and bonds. The goal is to offer sophisticated strategies to advisors, individuals, and institutions through a range of investment products and advisory services.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Canada
Founded
Not listed

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