AI Business Analyst
Listed on 2026-08-22
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software), IT Business Analyst, Change Management
- Location 50 International Dr,Bldg 4, Ste 200,Greenville, SC, 29615,United States
- Job Category Corporate Operations
- Employee Type FT Salaried Exempt
Courser accelerates the growth of IT service provider companies. We forge dynamic partnerships, leveraging our values of Teamwork, Service, Growth-Mindedness, Trust, and Innovation to deliver impactful solutions and phenomenal customer experiences. If you thrive in a fast-paced IT environment, join our rapidly expanding team and contribute to our ongoing success.
AI Business AnalystThe AI Business Analyst is a consultative role focused on aligning AI capabilities with client business needs. This individual will identify opportunities for AI-driven efficiencies, lead envisioning sessions, and champion adoption of Microsoft 365 Copilot and related AI tools. They will act as a bridge between business stakeholders and technical teams, ensuring AI solutions deliver measurable value.
Key Responsibilities- Business Process Analysis :
Assess client workflows to identify high-value AI use cases and map AI and Automation capabilities to business objectives. - Solution Design :
Develop AI-enabled business solutions leveraging Microsoft 365 Copilot and Power Platform tools. - Governance & Strategy :
Contribute to AI governance frameworks, define KPIs, and ensure ethical and compliant AI usage. - Communication :
Translate technical AI concepts into clear, actionable insights for business leaders; create demos and presentations to showcase AI benefits. - Collaboration :
Work closely with technical analysts and client teams to ensure feasibility and alignment of proposed solutions, as well as project outcomes. - Prompt Engineering & Agent Strategy: Develop effective prompt templates and identify opportunities for custom Copilot Agents to address specific business needs.
- AI Readiness: Evaluate and prepare the client’s environment for AI deployment by checking data availability, licensing, and security/compliance alignment, and coordinate with technical teams to remediate any gaps before Copilot rollout.
- User Adoption & Training Support :
Collaborate on user enablement efforts to drive Copilot adoption, including delivering initial training, creating how-to guides, and supporting change management initiatives. - Smart Shift Academy Content Management :
Develop, curate, and maintain AI training and enablement content (e.g. tutorials, guides, success stories) and ensure it’s accessible via Courser’s Smart Shift Academy platform for employees and clients. - Adoption Metrics & Value Realization (ROI Management): Monitor Copilot usage and adoption metrics (e.g. active users, frequency of use) and quantify the impact on productivity (time saved, output quality), then refine the AI roadmap based on these insights.
- Continuous Innovation & AI Trend Integration: Stay up to date with emerging Microsoft AI features (such as new Copilot capabilities, Copilot Studio agent tools, or relevant Azure AI services) and proactively incorporate those into solution proposals and strategy updates.
- AI Champion Program & User Community: Establish an internal “AI Champions” network at customer organizations to foster peer learning and sustain Copilot adoption.
- Copilot Readiness Workshop Delivery: Plan and facilitate comprehensive readiness workshops to ensure clients’ environments and teams are fully prepared for Copilot deployment, including technical audits (licensing, security, data access) and interactive sessions with business stakeholders to identify high-value use cases and change management needs.
- Change Management: Lead the human side of AI adoption by anticipating how change affects people, reducing disruption, and keeping teams confident and supported. Apply proven change management frameworks (e.g., Kotter’s 8-Step) to guide employees through new AI-enabled workflows.
- Prospect & Customer Advising: Lead discovery and advisory conversations with prospects and customers to shape AI initiatives, clarify outcomes, and align AI investments to business value.
- Solutions architecting: Partner with Sales and Account Managers during pre-sales to scope AI opportunities, support solution positioning, and…
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