Lead the National Network Contract Analytics team focusing on healthcare affordability strategies. Collaborate cross - functionally to drive insights and support provider contracting efforts while reporting to executive leadership.
About the role
- Director of Information Systems at Blackstone Industrial managing enterprise data strategy and analytics. Overseeing integrations and team leadership for operational improvements in field services.
Responsibilities
- 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
Requirements
- BS/MS in Computer Science, Information Systems, Industrial Engineering, or equivalent experience
- 8–12+ years in industrial/systems, data/analytics, or information systems, including hands-on buildouts in a B2B/industrial or field-services context
- Proven experience building and operating production data platforms (pipelines + warehouse/lake + BI) end-to-end
- Strong proficiency in SQL (analytic/window functions, performance tuning) and Python (pandas/pyarrow, basic APIs/ETL)
- Implemented Power BI at scale (dataset governance, DAX, RLS, deployment pipelines)
- Delivered integrations across ERP/CMMS/CRM/Finance using modern integration patterns (REST/GraphQL, webhooks, message queues)
- Team leadership experience (hiring/mentoring engineers, managing contractors, roadmap ownership, and cross-functional stakeholder management).
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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