AI Innovation Analyst

Roofing Corp of America(RCA) is a subsidiary of First Service 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.

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

• 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,…