BI & Data Solutions Manager

Join us as we Rise to the Challenge

At KCI, we’re building an enduring community that provides unparalleled value to our employee-owners. We make our mark designing and delivering our world-class solutions, so we invest deeply in supporting and developing our team. We reward integrity and commitment, and when we do well, you do well. Our employees have the freedom to innovate, unlimited growth, a voice that matters, a lifestyle that works, and skin in the game. Achievements are shared and celebrated. As a team, we are motivated to better ourselves, each other, and the world around us. 

KCI Technologies, Inc. is a 100% employee-owned engineering, consulting and construction firm serving clients throughout the United States. KCI is recognized as an industry leader, employing cutting-edge technologies, management practices and strategic growth initiatives. Employee ownership fosters an entrepreneurial spirit, encourages technical expertise, and shapes strategic planning.

KCI is currently ranked #56 on Engineering News-Record’s list of the Top 500 design firms in the nation.

KCI Technologies, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

The BI & Data Solutions Manager leads KCI’s internal data and analytics function, overseeing the people, platforms, and delivery practices that provide the trusted data foundation for enterprise reporting, dashboards, and emerging AI use cases. The team primarily supports KCI’s ERP and related business systems while enabling Enterprise Technology teams to build applications, AI agents, and other solutions using well-governed, reliable data.

Reporting to the Director, Enterprise Systems, this role directly manages the Lead Data Engineer, Data Engineer(s), and BI Developer(s), providing technical direction, prioritization, mentorship, and coordination across data engineering and BI work.

• →Own and manage the BI & Data Solutions team, directing work and setting priorities and capacity across data engineering and BI/reporting.
• →Provide overall technical direction and roadmap ownership, resolving tradeoffs between data engineering and BI priorities.
• →Balance business-as-usual report and dashboard requests with longer-term data platform initiatives and own the team’s prioritization queue.
• →Own intake and triage for new report and dashboard requests, ensuring transparent and defensible prioritization across stakeholder demands.
• →Mentor team members in time management, task execution, prioritization, and reliable delivery.
• →Ensure data assets are well documented, vetted, and consumable by other Enterprise Technology teams.
• →Partner with peer managers across Enterprise Systems to align data engineering, BI, ERP development, and governance priorities and ensure clean handoffs.
• →Partner with the data governance function to protect capacity for data quality monitoring, governance dashboards, and related tooling.
• →Collaborate across Enterprise Technology to build semantic models, data flows, and curated datasets supporting broader initiatives.
• →Set data architecture priorities with the Lead Data Engineer and BI governance and development standards with BI Developers.
• →Own performance management, coaching, and career development for the team.
• →Represent BI & Data Solutions needs and constraints in cross-team planning, acquisitions, and innovation projects.
• →Report team capacity, delivery progress, and risk to the Director, Enterprise Systems.
• →Comply with all KCI policies and procedures and perform other duties as assigned.

* Essential Duties and Responsibilities are the basic job functions that an employee must be able to perform, with or without reasonable accommodation.

• Bachelor’s degree in a technical, analytical, or business-related field, or equivalent experience.
• Eight or more years of combined experience in data solutions, business intelligence/analytics development, or enterprise data platforms, including demonstrated experience leading or managing a technical team.
• Working knowledge of modern data architecture, such as medallion architecture and Microsoft Fabric, and enterprise BI practices, such as Power BI and semantic modeling, sufficient to make informed resourcing, prioritization, and roadmap decisions.
• Proven experience balancing competing stakeholder demands and establishing a transparent prioritization framework for technical work.
• Strong track record of team performance management, coaching, and development.
• Ability to communicate effectively with technical staff, business stakeholders, and executive leadership.
• Pre-employment drug screening and background check are conditions of employment. Motor vehicle checks may be required based upon position.

• Direct experience with Dynamics 365, Dataverse, or a similar enterprise ERP data environment.
• Experience supporting or partnering with a data governance function.
• Exposure to AI/ML data enablement initiatives.

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Microsoft Certified: Azure Data Fundamentals (DP-900).

The job description is not designed to contain a complete listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time.