Leader, Business Analytics & Data Management

Opportunity Summary

Data Platform and Architecture

• Own Microsoft Fabric, OneLake, the enterprise warehouse and lakehouse, integration patterns, and medallion and dimensional data modeling standards.
• Build reliable pipelines from ERP, dealer management, CRM, HCM, telephony, e-commerce, and telematics sources.
• Manage Azure platform capacity, performance, cost, security, disaster recovery, and data freshness and availability SLAs.
• Establish source control, CI/CD, testing, documentation, and environment promotion practices.

Business Intelligence and Analytics

• Set Power BI as the enterprise BI standard and lead the migration and retirement of Tableau and spreadsheet-based reporting.
• Build certified semantic models and enterprise datasets for revenue, margin, technician utilization, parts fill rate, first-time fix, DSO, and other metrics.
• Deliver monthly operating reviews and KPI scorecards by branch, business unit, and region.
• Manage analytics intake, prioritization, roadmaps, adoption targets, self-service enablement, and report retirement.

Business Partnership

• Partner with the CFO and FP&A on data definitions, close, forecasting, budgeting, month-end activities, and board deliverables.
• Work with the CEO, COO, and business unit presidents to define operational metrics and drive accountability.
• Translate leadership and private equity sponsor questions into analyses, models, dashboards, and clear recommendations.
• Support system consolidation, customer 360, technician productivity, forecasting, and benefit tracking initiatives.

Governance and AI Readiness

• Lead data ownership, stewardship, glossary and metric definitions, lineage, access control, retention, privacy, and governance practices.
• Drive master data management for customers, vendors, parts, locations, and technicians across consolidated systems.
• Implement data quality monitoring and remediation with measurable improvement targets.
• Prepare governed data foundations for AI and machine learning use cases.

Leadership

• Build, lead, and develop data engineers, BI developers, and analysts.
• Manage vendor and contractor resources and the analytics budget.
• Communicate roadmap, progress, risks, and delivered value to the CIO and executive leadership.
• Champion data-driven culture and improve analytics literacy across the company.

Required Qualifications

• Bachelor’s degree in a relevant information systems, technical, analytical, finance, business, or engineering field.
• 7–10 years of progressive data and analytics experience, including at least 3 years leading a team or function.
• Expert Power BI experience, including semantic modeling, DAX, row-level security, deployment pipelines, capacity management, and governance.
• Working Tableau proficiency and experience with Azure, Microsoft Fabric or equivalent platforms, SQL, data modeling, Python or PySpark, governance, master data, and data quality.
• Experience partnering with Finance and executives on KPI definition, reporting, and performance analytics.
• Excellent executive communication and ability to influence without direct authority.

Preferred Qualifications

• MBA or master’s degree in Analytics, Finance, or a related discipline.
• Relevant Microsoft certifications, including Fabric, Power BI, or Azure data certifications.
• Experience in multi-branch operating businesses, private equity-backed companies, or BI platform consolidation.
• Exposure to Microsoft Purview, Azure OpenAI, AI Foundry, Copilot for Power BI, or machine learning workflows.

Employee Rewards and Benefits

• Paid holidays, a paid wellness day, paid time off, referral bonus program, medical, dental, and vision insurance.
• 401(k) with company match, company-paid training, and growth and leadership opportunities.

About the Company