BI Application Manager

This is a Hybrid role that is based in the Bloomington, MN Metro area. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

The Business Intelligence (BI) Manager is a key leadership role responsible for setting the strategy, driving execution, and managing the team that delivers QBP's enterprise BI, data, and AI capabilities. This player‑coach leader manages a high‑impact team, while partnering closely with Data Analysts embedded in the business to establish best practices, data leadership, and a culture of certified, trusted, self‑service analytics.

The BI Manager oversees the modern cloud data platform—from data ingestion and lakehouse architecture through semantic modeling, reporting, and emerging AI/agentic analytics capabilities—and serves as the single point of accountability for BI delivery, governance, and platform stewardship across QBP. This role requires a leader who is adaptable, business‑savvy, technically credible, and excited to evaluate emerging technologies including AI/Copilot, agentic workflows, and modern lakehouse patterns.

• Define and own QBP's BI and analytics roadmap, aligned to enterprise priorities and the SAP S/4 transformation program.
• Set the vision for the modern cloud data platform, including lakehouse, semantic modeling, reporting, and AI-augmented analytics.
• Translate executive priorities into a prioritized backlog of BI initiatives, with clear outcomes, milestones, and success metrics.
• Lead BI tool selection, vendor evaluation, and partner engagement (e.g., Systems Integrators, ISVs, Microsoft/Cloud providers).
• Manage BI licensing and cloud cost optimization.

• Lead and coach the BI development team; act as a player‑coach who can engage technically when needed.
• Own hiring, performance management, career development, and succession planning for the BI team.
• Provide direction, mentorship, and best‑practice leadership to Data Analysts embedded in business teams establishing data leadership, standards, and a COE mindset across the broader BI community.
• Set team standards for code reviews, documentation, version control, and engineering excellence.
• Run agile ceremonies (stand‑ups, sprint planning, retros); serve as Scrum Master for the team.

• Oversee the end‑to‑end BI toolset including Power BI, ETL/ELT, data warehouse/lakehouse, and supporting cloud data platform technologies.
• Ensure the data platform is scalable, performant, secure, and cost‑effective.
• Lead architecture decisions across the data platform (lakehouse/warehouse, semantic models, ETL/ELT, real‑time analytics).
• Stay current on modern cloud data platform capabilities and drive continuous platform modernization.
• Ensure data models, datasets, and queries are optimized for performance, reuse, and certification.

• Oversee the design, development, and delivery of dashboards, reports, and certified data products built by the BI Developer.
• Oversee the design, development, and delivery of data pipelines, integrations, and lakehouse data models built by the Data Engineers.
• Establish certification criteria for BI data products (metric definitions, SLAs, documentation, ownership).
• Manage BI delivery commitments, release planning, and stakeholder expectations.
• Drive requirements development with business stakeholders and translate them into clear technical specifications.

• Establish and enforce data governance standards including data quality, lineage, cataloging, and master data management.
• Partner with Info Sec on role‑based access, row-level security, and sensitivity labeling for data assets.
• Ensure BI solutions comply with regulatory and internal data privacy and security policies.
• Implement monitoring, observability, and freshness for critical data pipelines and datasets.
• Drive proactive incident management and root‑cause analysis for high‑severity BI issues.

• Champion innovation by…