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 Operations productivity, utilization, service margins

o Finance profitability, working capital, forecasting.

o Sales pipeline, customer growth, retention

• Drive measurable outcomes including:

o Revenue growth

o Margin expansion

o Cost reduction

o Improved decision speed and accuracy

• Lead strategic analytics initiatives and deep dives to inform executive decision-making

Education:

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)

Master's degree (preferred but not required):

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

Experience:

• 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

Relevant certifications (nice-to-have, not required):

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

Technical Expertise

• Strong experience with data lakes, data warehouses, and modern cloud platforms (Azure preferred)
• Experience with ETL/ELT pipelines, data modeling, and BI tools (Power BI, Tableau, etc.)
• Familiarity with advanced analytics and statistical methods
• Experience working with enterprise ERP data (Dynamics 365 preferred)

Leadership & Business Skills

• Strong executive communication and storytelling capabilities
• Ability to translate business needs into data strategy and technical solutions.
• Proven ability to influence senior leadership and drive changes across the organization.
• Deep understanding of financial and operational metrics
• Experience managing external vendors and outsourced staffing models.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

This job operates in both an office environment. Must be able to sit and/or stand for extended periods of time.

Reasonable accommodation will be made to enable individuals with disabilities to perform the essential job functions unless doing so presents an undue hardship on the Company's business operations.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Employees understand the above job description and agree to comply with and be subject to its conditions. Employee further agrees this job description does not alter his/her at-will employment status. Employees understand the Company reserves the right to delegate, remove, expand or change all responsibilities. Employees acknowledge that he/she can fulfill the above duties with or without reasonable accommodation.