Business Analyst Specialist

Job Description

We are looking for a Business Analyst Specialist to drive the adoption of artificial intelligence tools at Alimentiv. This role involves: - Conducting needs assessments across departments to pinpoint opportunities where AI can boost operational efficiency and research outcomes. - Monitoring emerging AI technologies and assessing their relevance to Alimentiv's operations. - Creating roadmaps that align AI opportunities with organizational goals and realistic timelines. - Synthesizing industry trends into actionable recommendations for Alimentiv's business. - Evaluating AI platforms and tools against defined use cases, documenting findings in structured assessments. - Developing solution prototypes to validate feasibility before full implementation. - Preparing business cases that clearly articulate the value and feasibility of AI initiatives for non-technical stakeholders. - Designing and delivering training programs to build AI proficiency across diverse teams. - Producing reference materials and guides to support independent tool use. - Facilitating workshops and demonstrations to connect AI capabilities to team workflows. - Providing hands-on support during tool rollouts to accelerate user proficiency. - Identifying and addressing adoption obstacles through targeted follow-up. - Establishing communities of practice for peer learning and sustained engagement with AI tools. - Monitoring usage data and proactively offering additional support. - Designing and building proof-of-concept AI solutions to demonstrate practical value. - Developing prototypes using no-code and low-code AI platforms to illustrate AI applications. - Presenting prototype solutions to stakeholders, translating outputs into business value. - Gathering departmental requirements and communicating them to technical teams. - Coordinating cross-functional stakeholders to ensure AI tool configurations align with workflows. - Developing standard operating procedures that integrate AI tools into established workflows. - Establishing success metrics to capture adoption rates and business impact. - Analyzing usage data to assess initiative effectiveness and identify areas for improvement. - Preparing reports that communicate AI initiative outcomes to leadership. - Conducting post-implementation reviews to capture lessons learned.

Qualifications

1. 3+ years of related experience 2. (Honours) Bachelor’s degree 3. Fluent in English (verbal and written) 4. Ability to communicate complex or technical concepts clearly to non-technical audiences (verbal and written) 5. Demonstrated ability to build effective working relationships across all organizational levels, including frontline staff and senior leadership 6. Experience designing and delivering training programs for diverse adult learners 7. Knowledge of change management principles and technology adoption frameworks 8. Ability to identify underlying user needs and develop practical, targeted support solutions 9. Experience producing user documentation, guides, and job aids that reduce barriers to tool adoption 10. 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 11. Ability to develop functional proof-of-concept solutions demonstrating AI applicability to specific business problems 12. Familiarity with prompt engineering and understanding of large language model capabilities and limitations 13. Ability to define and communicate the boundary between enablement-level prototyping and production development requiring IT or developer involvement 14. Strong cross-functional collaboration skills and ability to align stakeholders around shared objectives 15. Ability to interpret adoption metrics and usage data to prioritize support efforts 16. Working knowledge of AI tools sufficient to guide end-user adoption (deep technical expertise not required) 17. Familiarity with data privacy principles and responsible AI use in regulated environments 18. Experience in clinical research or healthcare is considered an asset