Director

• Define, Develop and execute the enterprise data strategy and roadmap (12–24 months)
• Stand up secure, scalable data pipelines (ELT/ETL), a data warehouse/lake, and semantic models (e.g., Snowflake/BigQuery)
• Implement Power BI (governance, DAX models, shared datasets) and drive self-service analytics adoption across the business
• Build trusted datasets for Services (work orders, job cost, utilization, reliability KPIs), Parts Supply Chain (forecasting, inventory strategies, vendor performance), and Sales Enablement (pipeline health, pricing/margin analytics)
• Apply industrial engineering techniques (queuing models, forecasting, utilization analysis, reliability KPIs) to operational datasets for optimization
• Establish data quality, lineage, access controls (RBAC), and change management
• Own and manage integrations between ERP/CMMS (e.g., Business Central, ViewPoint Spectrum), CRM (e.g., Salesforce), finance, and field/mobile apps (API-first, event-driven where practical)
• Manage a small internal/contract engineering team to deliver custom applications (e.g., technician mobile workflows, quoting tools) with disciplined SDLC, CI/CD, and documentation
• Manage iPaaS/ELT, warehouse, BI, and development tool vendors
• Translate business questions into analytics and product increments and run a disciplined intake/prioritization process
• Deliver training and adoption programs for cross-functional teams
• Develop KPI catalogs, playbooks, and decision-support dashboards that directly impact efficiency, reliability, and margin
• Communicate progress, risks, and outcomes to leadership with measurable ROI

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