Workplace AI Specialist

Role Overview

• Conducts needs assessments across departments to identify opportunities where AI tools can improve operational efficiency or research outcomes.
• Monitors emerging AI technologies and evaluates their relevance to Alimentiv's operational context.
• Develops roadmaps that align AI opportunities with organizational priorities and realistic implementation timelines.
• Synthesizes industry trends into actionable recommendations tailored to Alimentiv's business environment.
• Evaluates AI platforms and tools against defined use cases, documenting findings in structured assessments.
• Develops lightweight solution prototypes to validate feasibility before full implementation is pursued.
• Prepares business cases that articulate the value and feasibility of proposed AI initiatives for non-technical stakeholders.
• Designs and delivers structured training programs that build AI proficiency across diverse teams and skill levels.
• Produces plain-language reference materials, guides, and job aids that support independent tool use.
• Facilitates workshops and demonstrations that connect AI capabilities to team-specific workflows.
• Provides hands-on support during tool rollouts to accelerate user proficiency and resolve adoption barriers.
• Identifies and addresses adoption obstacles through targeted follow-up and adjusted delivery approaches.
• Establishes communities of practice to enable peer learning and sustained engagement with AI tools.
• Monitors usage data and initiates proactive outreach where additional training or support is indicated.
• Designs and builds proof-of-concept AI solutions that demonstrate practical value to specific business functions.
• Develops working prototypes using no-code and low-code AI platforms to illustrate how AI can be applied to real operational challenges.
• Presents and demonstrates prototype solutions to stakeholders, translating outputs into clear business value.
• Builds demonstrations and prototypes using no-code and low-code AI platforms; production development and system integration remain the responsibility of technical IT and development teams.
• Gathers departmental requirements and communicates them to technical teams in plain language.
• Coordinates cross-functional stakeholders to ensure AI tool configurations align with operational workflows.
• Develops standard operating procedures that integrate AI tools into established team workflows.
• Establishes success metrics that capture both adoption rates and measurable business impact.
• Analyzes usage and performance data to assess initiative effectiveness and identify areas for improvement.
• Prepares reports that communicate AI initiative outcomes clearly to leadership audiences.
• Conducts post-implementation reviews to capture lessons learned and apply findings to future rollouts.

Requirements

• 3+ years of related experience
• (Honours) Bachelor’s degree
• Fluent in English (verbal and written)
• Ability to communicate complex or technical concepts clearly to non-technical audiences (verbal and written)
• Demonstrated ability to build effective working relationships across all organizational levels, including frontline staff and senior leadership
• Experience designing and delivering training programs for diverse adult learners
• Knowledge of change management principles and technology adoption frameworks
• Ability to identify underlying user needs and develop practical, targeted support solutions
• Experience producing user documentation, guides, and job aids that reduce barriers to tool adoption
• Proficiency with no-code and low-code platforms (e.g., Microsoft Copilot Studio, Power Automate, Claude.ai) to configure and demonstrate AI-powered workflows without custom development
• Ability to develop functional proof-of-concept solutions demonstrating AI applicability to specific business problems
• Familiarity with prompt engineering and understanding of large language model capabilities and limitations
• Ability to define and communicate the boundary between enablement-level prototyping and production development requiring IT or developer involvement
• Strong cross-functional collaboration skills and ability to align stakeholders around shared objectives
• Ability to interpret adoption metrics and usage data to prioritize support efforts
• Working knowledge of AI tools sufficient to guide end-user adoption (deep technical expertise not required)
• Familiarity with data privacy principles and responsible AI use in regulated environments
• Experience in clinical research or healthcare is considered an asset