Director-Data & Analytics

The Director – Data & Analytics in the data and analytics is responsible for defining and executing Premi Star’s enterprise data strategy, transforming data into a strategic asset that drives revenue growth, operational efficiency, and margin expansion.

This role provides executive leadership over data engineering, business intelligence, advanced analytics, and data governance—ensuring a scalable, secure, and high-performing data ecosystem aligned to Premi Star’s digital transformation initiatives, including Project Mosaic and Enterprise Data Unification.

The Director serves as a key member of IT leadership, partnering with executive stakeholders across Operations, Finance, HR, and Sales to enable data-driven decision-making at all levels of the organization.

Applicants must be currently authorized to work in the United States on a full-time basis. Premi Star will not sponsor applicants for work visas.

• Define and execute a multi-year enterprise data and analytics roadmap aligned to business growth and EBITDA improvement goals.
• Establish data as a strategic asset and drive a company-wide data-driven culture.
• Partner with ELT and BU leaders to translate business priorities into analytics initiatives.
• Lead prioritization of data investments based on business value and strategic impact.

• Own the architecture and scalability of Premi Star’s enterprise data platform (Azure Data Lake, Microsoft Fabric, Power BI)
• Ensure high availability, performance, and security of data pipelines and systems.
• Define enterprise standards for data modeling, integration, APIs, and real-time processing.
• Drive continued evolution toward a single source of truth across all business units.

• Lead delivery of enterprise dashboards and KPI reporting across financial and operational domains.
• Enable real-time visibility into key metrics such as:
• Service profitability
• Technician utilization
• Project performance
• Working capital
• Drive advanced analytics use cases including forecasting, predictive maintenance, and customer insights.
• Translate complex data into clear, executive-level insights and recommendations.

• Establish and enforce enterprise data governance frameworks (data quality, lineage, MDM, access controls)
• Ensure compliance with regulatory and internal security standards.
• Improve data accuracy, consistency, and trust across all systems and reports.
• Partner with cybersecurity and IT teams to implement secure-by-design data architecture.

• Lead and scale a high-performing team across:
• Data Engineering
• BI / Reporting
• Analytics / Data Science
• Set organizational structure, sourcing strategy (internal vs. partners), and capability roadmap.
• Recruit, mentor, and develop top-tier data talent.
• Establish performance metrics and accountability for delivery, adoption, and business impact.

• Partner with:
• Operations → productivity, utilization, service margins
• Finance → profitability, working capital, forecasting.
• Sales → pipeline, customer growth, retention
• Drive measurable outcomes including:
• Revenue growth
• Margin expansion
• Cost reduction
• Improved decision speed and accuracy
• Lead strategic analytics initiatives and deep dives to inform executive decision-making

• Bachelor’s degree in one of the following (or related field):
• Computer Science
• Information Systems
• Data Analytics / Data Science
• Engineering
• Mathematics / Statistics
• Business (with strong analytics focus)

• MBA (especially with finance/operations focus)
• MS in Data Science, Analytics, or Information Systems

• 12+ years of experience in data, analytics, or information management
• 5+ years of leadership experience managing enterprise data teams.
• Proven success in building and scaling modern data platforms and analytics capabilities.
• Experience in multi-entity or PE-backed environments preferred

• Azure Data / AI certifications
• Data architecture or cloud certifications

• Strong…