Senior Director, Data and Analytics

Cobalt Service Partners is a private equity–backed platform building the leading commercial access and security integration business in North America. Our partner companies design, install, and service mission-critical systems including access control, video surveillance, intrusion detection, and related low-voltage infrastructure for enterprise, institutional, and commercial customers.

Backed by Alpine Investors, a private equity firm specializing in middle-market companies in the services and software industries with $15B+ in AUM, Cobalt has scaled rapidly since launch. With more than 40 acquisitions completed in a highly fragmented operating environment, Cobalt is building a differentiated, data-driven platform designed to scale through both organic growth and M&A.

• Unwavering stewardship: We believe advancing founders’ legacies is a privilege. We do right by our founders, teams, and customers in good times and in bad.
• Excellence in action: We hold ourselves accountable to the highest standards. We’re bold in our pursuits, don’t make excuses, and relentlessly empower each other to get the job done.
• Seek and tell the truth: We’re honest with ourselves and others. We do what we say we’ll do, say what needs to be said, and search for the right answer regardless of where it comes from.
• Love learning: We’re always learning as individuals, as a team, and as a business. We show up humble, curious, and with the courage to change our minds.
• Enjoy the ride: We’re fired up by our mission, love our team, and don’t take either for granted. We show up authentically, assume best intent, and try not to take ourselves too seriously.
   

The Senior Director, Data and Analytics will define and lead the enterprise data strategy for a rapidly scaling, private equity–backed services platform. This role owns the architecture, governance, and roadmap for a modern data environment that enables reliable financial reporting, operational visibility, and scalable M&A integration across all operating companies.

This is a strategic leadership role focused on systems design, prioritization, and organizational capability-building. This individual will partner closely with Finance, Operations, and executive leadership to ensure data is a durable competitive advantage for the platform.
 

• →Enterprise Data Strategy & Architecture: Define and own the long-term data architecture and tooling strategy across ingestion, warehouse, transformation, BI, and governance layers to ensure scalability and reliability.
• →Metric Governance & Standardization: Establish and enforce canonical KPI definitions and governance processes to ensure consistency, auditability, and enterprise-wide trust in reporting.
• →Platform Scaling & M&A Integration: Design and implement a repeatable data integration framework that accelerates onboarding of new acquisitions and improves speed-to-insight across the platform.
• →Vendor & Platform Management: Oversee external data engineering partners, technology vendors, platform spend, and SLAs to ensure performance and cost efficiency.
• →Executive Partnership: Serve as the primary data partner to executive leadership, translating operational and financial requirements into technical decisions.
  
  

• 7+ years of experience in data, analytics, or data platform leadership
• Proven experience designing and scaling modern cloud data architectures (e.g., Snowflake or similar)
• Strong understanding of dimensional modeling, semantic layers, and reporting infrastructure
• Experience with multi-tenant, heterogeneous data environments
• Experience in PE-backed, multi-entity, or high-growth environments preferred
• Demonstrated experience leading analytics engineering or BI teams
• Strong commercial acumen with fluency in financial and operational metrics
• Experience managing external vendors and technology budgets
  
  

• Enterprise Data Architecture Expertise: Deep understanding of modern data lake and analytics architectures
• Autonomy & Ownership: Thrives as a single-threaded owner responsible for critical systems and outcomes
• Comfort with Ambiguity: Able to bring structure to unclear problems and evolving requirements
• Commercial Judgment: Understands how architecture and data decisions impact the business today and in the future
• Executive Communication: Translates complex technical concepts into clear, actionable insights for leaders
• Quality & Rigor: Maintains high standards for scalability, reliability, and performance