Director-Data & Analytics

The Director – Data & Analytics in the data and analytics is responsible for defining and executing PremiStar’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 PremiStar’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.  PremiStar will not sponsor applicants for work visas.  

Enterprise Data Strategy & Leadership

·         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.

Data Platform & Architecture Oversight

·         Own the architecture and scalability of PremiStar’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.

Business Intelligence & Advanced Analytics

·         Lead delivery of enterprise dashboards and KPI reporting across financial and operational domains.

·         Enable real-time visibility into key metrics such as:

o   Service profitability

o   Technician utilization

o   Project performance

o   Working capital

·         Drive advanced analytics use cases including forecasting, predictive maintenance, and customer insights.

·         Translate complex data into clear, executive-level insights and recommendations.

Data Governance, Quality & Security

·         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.

Organizational Leadership & Talent Development

·         Lead and scale a high-performing team across:

o   Data Engineering

o   BI / Reporting

o   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.

Cross-Functional Partnership & Value Creation

·         Partner with:

o   Operati