BI & Data Solutions Leader

Kci; Raleigh (NC); On-site; USD 150,000 - 170,000; Full time

Job summary

KCI Technologies, Inc. is seeking a BI & Data Solutions Manager to lead our internal data and analytics function. You will oversee the team delivering enterprise reporting, dashboards, and AI use cases, while enabling ERP-related data platforms and governance across Enterprise Technology.

Reporting to the Director of Enterprise Systems, you will manage Lead Data Engineer and BI Developers, aligning priorities and shaping the data strategy for the organization.

Qualifications

• Bachelor's degree in a technical, analytical, or business-related field, or equivalent experience.
• Eight or more years of combined experience in data solutions, BI/analytics, or enterprise data platforms.
• Experience leading or managing a technical team and communicating with executive stakeholders.

Responsibilities

• Own and lead the BI & Data Solutions team, setting priorities and capacity.
• Provide technical direction and roadmap ownership across data engineering and BI.
• Balance BAU reporting with long-term data platform initiatives and prioritize demands.
• Mentor team members in time management, delivery, and prioritization.
• Ensure data assets are documented and consumable by Enterprise Technology teams.
• Collaborate to build semantic models, data flows, and curated datasets.

Skills

Team leadership

Stakeholder communication

Prioritization

Coaching

Education

Bachelor's degree in technical/analytical/business-related field or equivalent experience

Tools

Power BI

Microsoft Fabric

Dataverse

Dynamics 365

Job description

KCI Technologies, Inc. is seeking a BI & Data Solutions Manager to lead our internal data and analytics function. You will oversee the team delivering enterprise reporting, dashboards, and AI use cases, while enabling ERP-related data platforms and governance across Enterprise Technology.

Reporting to the Director of Enterprise Systems, you will manage Lead Data Engineer and BI Developers, aligning priorities and shaping the data strategy for the organization.