Manager | AI Business Solutions
Role Overview
The AI Business Solutions Manager joins the AI team and helps create impactful AI applications across the organization.
The role connects Product Engineering, Business Transformation teams, and business stakeholders to deliver technology aligned with strategic priorities and measurable business value.
Key Skills for This Role
Full Job Posting
About CBIZ
CBIZ provides professional services including accounting, tax, advisory, benefits, insurance, and technology services.
About the role
The AI Business Solutions Manager joins the AI team and helps create impactful AI applications across the organization.
The role connects Product Engineering, Business Transformation teams, and business stakeholders to deliver technology aligned with strategic priorities and measurable business value.
Minimum qualifications
- Bachelor's degree or equivalent experience and at least 6 years of related experience are required.
- At least 3 years of supervisory experience is required.
- Healthcare industry regulations, policies, and procedures knowledge is required.
- Experience with business stakeholders and IT project planning, delivery, and execution using Traditional and Agile SDLC methodologies is required.
- Experience with VSTS, Jira, and/or other collaboration tools is required.
- Team leadership, peer-team coordination, policy and procedure development, and strong organization-wide communication are required.
- Travel as required by the business and on-call availability are required; the role requires lifting up to 50 pounds.
- A degree in IT, Computer Systems Analysis, or Management Information Systems and PMP are listed as preferred.
Stakeholder and product coordination
- Serve as the primary liaison among Product Engineering, Business Transformation, and business stakeholders.
- Build relationships with business leaders, operational teams, and end users to understand needs and challenges.
- Communicate roadmaps, enhancement progress, releases, and upcoming capabilities.
- Manage intake and documentation of enhancement requests, bug reports, and emerging use cases; assess business justification and strategic alignment.
- Facilitate prioritization and set expectations about capabilities, timelines, design decisions, and roadmap priorities.
- Monitor feedback, adoption, and platform usage to identify opportunities for business value and user engagement.
Testing and product quality
- Coordinate user acceptance testing for releases, enhancements, and new capabilities; develop testing strategies with stakeholders.
- Assess release scope and stakeholder participation according to business impact and change magnitude.
- Facilitate testing sessions, collect feedback, document findings, and work with engineering to prioritize issues.
- Review usability, intuitiveness, workflow efficiency, and overall user experience.
AI leadership
- Keep current on AI model performance, context engineering, industry trends, and application limitations to inform the product pipeline and enablement.
- Foster a collaborative, inclusive, consultative, and customer-focused culture.
- Lead analysts and senior analysts to deliver quality products, insights, and supporting materials against defined objectives.
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