This position is listed on behalf of a partner company, who manages all applications and next steps.
As Director of AI & Innovation, you will lead the development and implementation of practical artificial intelligence and automation solutions that improve business performance and deliver measurable value to clients.
Responsibilities
Develop and maintain a practical AI and automation roadmap aligned with business objectives and client needs. Identify and prioritize opportunities based on business value, technical feasibility, data readiness, risk, and expected impact.
Translate business challenges into clear technical requirements, solution concepts, and implementation plans. Design and prototype AI-powered applications, workflows, and automations, determining whether to build solutions internally, purchase existing tools, or collaborate with external partners.
Lead pilots and experiments to validate proposed solutions, measure their effectiveness, and determine which initiatives should be refined, scaled, or discontinued.
Partner with teams across strategy, analytics, operations, finance, project management, creative, media, agricultural intelligence, and client services to redesign workflows, integrate AI capabilities, and encourage adoption.
Identify and develop AI applications for selected client challenges, creating repeatable use cases, delivery frameworks, and value models that support innovation and measurable client outcomes.
Assess potential solutions for reliability, security, scalability, and maintainability while promoting responsible implementation and sustainable technology practices.
Guide teams through the adoption of AI-powered tools and automated processes, helping stakeholders understand their benefits and integrate them effectively into everyday workflows.
Define success metrics, track outcomes, and communicate progress, trade-offs, risks, and investment requirements to senior leadership to support informed decision-making.
Requirements
Proven professional experience in artificial intelligence, digital transformation, innovation, marketing technology, product development, data and analytics, consulting, or a related field.
Mandatory industry experience: Previous experience in an agency, consultancy, marketing organization, or professional services environment.
Hands-on experience designing, developing, and prototyping AI-enabled applications, automation solutions, or data-driven workflows.
Strong technical understanding of APIs, system integrations, databases, cloud platforms, and automation tools, with the ability to design practical solutions and guide implementation.
Experience evaluating technology solutions for reliability, security, scalability, and long-term maintainability.
Ability to translate business objectives and user workflows into clear technical requirements and actionable implementation strategies.
Demonstrated experience leading cross-functional initiatives, managing technical partners, facilitating organizational change, and influencing senior stakeholders.
Excellent communication, presentation, facilitation, and consultative problem-solving skills, including the ability to explain technical concepts to non-technical audiences.
A pragmatic, evidence-based approach to innovation, with a focus on business value and measurable outcomes rather than adopting technology for its own sake.
Strong strategic thinking, project prioritization, and decision-making capabilities, balancing innovation opportunities with practical constraints and organizational goals.
Experience in agriculture, food production, or another specialized industry is considered an asset.
Conditions
Competitive compensation: Annual salary range of $140,000–$165,000.
Remote work: Opportunity to work remotely from Canada.
Strategic leadership: Take ownership of AI strategy and innovation initiatives with direct relevance to business performance and client outcomes.
Meaningful impact: Help organizations identify practical AI applications that improve productivity, streamline operations, and create measurable value.
Cross-functional exposure: Collaborate with multidisciplinary teams across strategy, analytics, creative, media, operations, finance, and client services.
Innovation and professional growth: Explore emerging AI technologies, lead experimentation, and develop scalable solutions across diverse business challenges.
Leadership opportunities: Influence senior stakeholders, guide technology partners, and support organization-wide AI adoption and transformation.