AI Innovation Analyst

Roofing Corp of America(RCA) is a subsidiary of FirstService Corporation (NASDAQ and TSX: FSV), a North American leader in the essential outsourced property services sector. Since inception, RCA has added 16 roofing services companies to its growing portfolio with 29 branch locations across the United States, each differentiated by a unique and localized commercial strategy. RCA has united some of the most respected regional roofing companies into a single, scalable platform – allowing our companies to maintain their local identity while gaining access to resources, technology, and operational excellence. RCA’s seasoned and growing Field Support Office drives strategic development, enhances operational efficiencies, and leverages the organization’s expanding scale. This central team also facilitates extensive best-practice sharing across our high-performing network of local contractors, ensuring exceptional service and continuous improvement across the organization. RCA is committed to innovation, safety, and sustainability, empowering our partners to deliver high-quality results with exceptional customer service. For additional information on Roofing Corp of America, please visit . The AI Innovation Analyst is a hybrid business, technology, and project execution role responsible for helping RCA identify, evaluate, prototype, implement, and communicate practical AI use / use case development / education across the organization. This role will work directly with executives, business unit leaders, functional managers, frontline staff, IT, Security, Data, and external vendors to turn AI ideas into well-defined, secure, measurable solutions. This role is part business analyst , part project manager , part AI technical resource , and part AI innovation catalyst . The ideal candidate is comfortable facilitating conversations with C-level executives about strategic priorities, while also sitting with field, operations, sales, finance, service, HR, marketing, or IT users to understand how work actually gets done and where AI can remove friction. This includes capturing use cases, documenting requirements, assessing feasibility, coordinating pilots, supporting technical configuration, testing AI tools, measuring outcomes, and helping users adopt approved AI capabilities safely. This is not a pure data scientist, machine learning engineer, or research role. It is a practical enterprise AI enablement role focused on business value, secure adoption, project execution, and hands‑on solution facilitation. The AI Innovation Analyst will help RCA turn AI from an emerging technology into a practical, secure, and measurable business capability. This role will work across all levels of the organization — from C-level leaders to frontline staff — to identify opportunities, shape use cases, coordinate pilots, support technical enablement, promote responsible AI use, and help RCA safely scale AI‑driven innovation across the enterprise. Role Purpose The AI Innovation Analyst will help RCA: Identify high‑value AI use cases with business users Translate business needs into AI solution requirements Facilitate AI workshops with executives, managers, and staff‑level employees Support development and configuration of AI prototypes and pilots Coordinate AI projects from intake through pilot and production readiness Help ensure AI solutions meet RCA security, governance, and data access requirements Build prompt templates, AI playbooks, and user enablement materials Track AI adoption, outcomes, risks, issues, and lessons learned Serve as a practical translator between business teams, IT, Security, Data, vendors, and leadership Required Qualifications Bachelor’s degree in Business, Information Technology, Computer Science, Data Analytics, Engineering, Cybersecurity, or a related field; equivalent experience may be considered 4+ years of experience in business analysis, project management / coordination, technology implementation, data/analytics, automation, innovation, or digital transformation Demonstrated interest in and working knowledge of generative AI, automation, analytics, or enterprise AI tools Experience gathering requirements, documenting workflows, facilitating stakeholder discussions, and translating business needs into solution requirements Experience coordinating cross-functional projects with business, technical, and leadership stakeholders Ability to work with both senior executives and staff-level users in a clear, credible, and practical manner Strong analytical skills with the ability to assess business value, feasibility, risk, and adoption considerations Excellent written and verbal communication skills Strong organizational skills and ability to manage multiple pilots, tasks, stakeholders, and deadlines Working knowledge of Microsoft 365 tools, SharePoint, Teams, Excel, PowerPoint, and collaboration platforms Ability to learn new tools quickly and explain them to others in simple, practical terms Preferred Qualifications Experience with multiple AI or automation platforms, such as: ChatGPT Enterprise or Business Power Automate / Power Apps AI-enabled SaaS tools Experience creating prompts, GPTs, AI assistants, automations, dashboards, or workflow prototypes Familiarity with AI concepts such as LLMs, RAG, AI agents, prompt engineering, embeddings, APIs, and human-in-the-loop workflows Familiarity with AI security concepts such as data oversharing, prompt injection, hallucination, DLP, least privilege, audit logging, and approved tool governance Experience working in construction, field services, commercial services, industrial operations, or multi-business-unit organizations Experience supporting M&A integration, operational standardization, or enterprise transformation programs Familiarity with business systems such as ERP, CRM, field service, estimating, service management, or ticketing platforms Core Competencies Business Analysis Asks strong discovery questions Documents workflows and requirements clearly Identifies root causes, not just symptoms Converts business needs into actionable use cases Project Management Organizes work into plans, tasks, owners, deadlines, and risks Keeps stakeholders aligned Tracks issues and follows through Communicates status clearly Escalates blockers early Experiments safely with AI tools Understands practical AI capabilities and limitations Can build simple prototypes or demos Knows when to involve deeper technical resources AI Security & Governance Awareness Understands why data access, privacy, identity, logging, and approval controls matter Supports responsible AI practices Helps users avoid unsafe or unapproved AI usage Stakeholder Communication Can speak credibly with executives about business value Can speak practically with staff about daily workflow pain points Can translate between business, IT, Security, Data, and vendor teams Builds trust with users who may be unfamiliar with AI Looks for practical ways to improve how work gets done Balances creativity with control Focuses on measurable outcomes Challenges assumptions constructively Turns ideas into structured pilots Success Metrics Use Case Pipeline – Number and quality of AI use cases captured, documented, and advanced Stakeholder Engagement – Participation from executives, managers, and staff-level users in AI discovery and pilots Pilot Execution – Pilots delivered with clear scope, timeline, success metrics, and lessons learned Business Value – Measured productivity, cycle‑time, quality, revenue, margin, or risk improvement AI Adoption – Growth in use of approved AI tools, templates, and workflows Governance Compliance – Use cases documented, reviewed, approved, and inventoried according to RCA standards Security Awareness – Reduction in unapproved AI usage and improved understanding of responsible AI practices Enablement Impact – Training participation, prompt library usage, and user satisfaction Portfolio Visibility – Accurate tracking of AI ideas, pilots, tools, owners, costs, risks, and outcomes Equal Opportunity Employer, including disabled and veterans. #J-18808-Ljbffr Roofing-Corp-of-America