Senior Manager of Business Intelligence
Listed on 2026-01-12
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst
Senior Manager of Business Intelligence – Summit Utilities, Inc.
Join our growing team and see why Summit Utilities was named one of the Fastest Growing Denver Area Private Companies (2019, 2020), Best Places to Work in Maine (2019–2023), Arkansas (2020, 2023), Oklahoma (2022, 2023), Missouri (2023), and one of Forbes 2023 America’s Best Small Employers.
Summit is a natural‑gas utility delivering safe, reliable, and clean service to homes and businesses across Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. We prioritize safety, excellence, innovation, and community impact.
We have an exciting hybrid opportunity for this role, based in one of our offices in Fort Smith, Fayetteville, or Little Rock, Arkansas;
Branson, Missouri;
Lawton, Oklahoma; or Portland, Maine.
The Senior Manager of Business Intelligence provides structure, governance, and operational leadership to mature Summit’s BI capability. This role builds and manages the BI operating ecosystem—standards, processes, delivery rhythms, quality controls, and stakeholder alignment—to ensure BI products are delivered consistently, reliably, and with high professional quality.
Acting as the primary liaison to Data Engineering, the leader coordinates workflows, manages capacity across the BI portfolio, and embeds BI standards throughout the organization.
In its early phase, the role emphasizes operational discipline and delivery excellence. As the BI function matures, it will expand to include enterprise-level storytelling, insight generation, and the advancement of analytics maturity across the business.
Primary Duties And Responsibilities BI Operating Rhythm (40%)- Architect and run the BI intake, triage, prioritization, and delivery lifecycle.
- Manage the weekly BI production cycle, including commitments, QA, dependencies, and release gates.
- Oversee dashboard and data product releases to the Power BI Service.
- Maintain the BI roadmap and ensure delivery against enterprise timelines.
- Track performance metrics (cycle time, rework % reduction, backlog aging, adherence to standards).
- Develop and enforce BI standards: look and feel, navigation, branding, KPI conventions, data dictionary norms.
- Establish quality gates and peer‑review processes for all dashboards and data models.
- Implement governance processes for certified datasets, KPI definitions, business rules, and semantic models.
- Ensure alignment with enterprise strategy, regulatory needs, and financial reporting requirements.
- Ensure consistency across domains and analysts.
- Serve as BI’s operational counterpart to Data Engineering.
- Drive dependency tracking, pipeline readiness, and issue resolution.
- Partner with business units on dashboard requirements and adoption.
- Support cross‑functional KPI alignment and governance councils.
- Provide day‑to‑day leadership to the Technical Lead and BI Analysts.
- Manage workload allocation, capacity planning, work sequence, and performance.
- Partner with Technical Lead to elevate technical quality, modeling practices, and DAX consistency.
- Coach the team on communication, documentation, requirements gathering, and stakeholder management.
- Support hiring, onboarding, and capability uplift of BI team members.
- Bachelor’s degree in business, Data Analytics, Computer Science, Information Systems, Finance, Operations, or a related field. Master’s degree preferred.
- 10+ years of experience in Business Intelligence, Data & Analytics, Program/Project Management, or related analytical domains.
- 3+ years in a leadership or team‑lead capacity with responsibility for delivery, standards, or cross‑functional coordination.
- Demonstrated experience operating within a matrixed organization and influencing without authority.
- Experience in a utility, energy, infrastructure, or similarly regulated environment.
- Background in building or maturing BI governance, KPI documentation, or operating models.
- Experience partnering closely with Data Engineering or IT Data teams.
- Deep understanding of BI concepts including semantic models,…
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