Data & AI Literacy Partner

Job summary

What are your contributions to the team?

1. Data and AI Literacy — 65%

• Design and coordinate progressive data and AI literacy programs and learning pathways tailored to different profiles, roles, and maturity levels.
• Translate data, analytics, generative AI, and responsible AI concepts into accessible content relevant to the business context.
• Develop, review, or coordinate training sessions, workshops, webinars, guides, videos, and microlearning content with internal experts and vendors.
• Lead awareness activities and communities of practice while promoting transparency, human oversight, data quality, and risk management.
• Measure participation, progress, satisfaction, knowledge acquisition, and adoption of expected practices.
• Gather feedback and monitor emerging practices to continuously improve learning pathways and content.

2. Information Governance — 25%

• Integrate information governance principles into literacy programs.
• Collaborate with governance, privacy, and compliance leads to document and communicate policies, standards, processes, and best practices.
• Develop training or certification pathways for data owners, data stewards and other governance roles.
• Facilitate access to, centralization of, and maintenance of reference content and support data quality and knowledge sharing.
• Contribute to the information governance team’s projects.

3. Change Management — 10%

• Plan and deliver engagement, communication, and support activities that encourage adoption of data- and AI-related practices.
• Analyze stakeholder needs, organizational impacts, and resistance in order to tailor interventions.
• Engage managers, experts, ambassadors, and communities of practice through targeted communications and support tools.
• Turn feedback into tangible improvements and track actions, risks, dependencies, decisions, and outcomes.

How to thrive in this role?

Education

• University degree in information science, information management, data management, artificial intelligence, analytics, educational technology, instructional design, linguistics, communications, change management, or a related discipline.
• A master’s degree in a relevant discipline is a strong asset.
• An equivalent combination of education and relevant experience may be considered.

Experience

• A minimum of five years of relevant experience coordinating or managing initiatives in data literacy, AI literacy, technology training, data governance, information management, or organizational transformation.
• Demonstrated experience designing and deploying learning or awareness programs.
• Experience leading cross-functional projects, managing risks and deliverables, and engaging stakeholders at all levels.
• Demonstrated experience creating, reviewing, or coordinating learning content.
• Experience facilitating workshops, training sessions, webinars, or communities of practice.
• Experience supporting the adoption of new technologies, practices, or ways of working.
• Experience in a complex or regulated organizational environment is an asset.

Functional Competencies

• Design and management of programs, learning pathways, and literacy content.
• Ability to communicate data, analytics, AI, and responsible AI principles in clear, accessible language.
• Strong command of data and information governance concepts.
• Facilitation of training sessions, workshops, and communities of practice.
• Management of projects, risks, priorities, change, and stakeholders, including evaluation of outcomes.

Behavioural Competencies

• Analysis, synthesis, and clear communication in complex, ambiguous, or sensitive situations.
• Organization, autonomy, attention to detail, and the ability to manage multiple priorities.
• Influence without authority, diplomacy, active listening, and the ability to build trusted relationships.
• Results and user-experience orientation, combined with creativity and pragmatism.
• Strong communication and presentation skills for diverse audiences, including senior leadership.

Languages

• Excellent oral and written communication skills in at least one of Canada’s two official languages.
• Professional ability to work in both French and English is strongly preferred given interactions with diverse stakeholders.
• Excellent writing, presentation, and communication skills, with the ability to make complex topics accessible.

Knowledge and Tools Considered Assets

• Microsoft 365, Teams, and SharePoint.
• Project and backlog management tools such as ADO, Jira, or equivalent platforms.
• Training and digital content development tools such as Articulate 360, Vyond, or Camtasia.
• Survey and learning assessment platforms.
• Data governance or data cataloguing tools.
• Basic knowledge of analytics.
• Experience with AI, text analytics, or natural language processing platforms.
• Knowledge of information quality, classification, and lifecycle principles.