Director, Information Systems

Blackstone Industrial provides innovative, high-quality, and sustainable solutions for critical rotating and static equipment. As one of North America’s leading technical service providers, we excel in field services, parts, repairs, and engineering. Trusted by industries such as heavy oil and refining, petrochemical, power generation, energy transmission, and agriculture, Blackstone is shaping the future of compressor maintenance and operation, striving to set new benchmarks. As we expand our operations globally, we are seeking a dynamic and motivated individual to join our team. 

We are seeking a Director, Information Systems with a strong foundation in industrial and systems engineering to lead the design, integration, and optimization of our enterprise data and applications environment. This role will combine engineering principles, operations research, and information systems to deliver scalable decision-support tools for Services, Supply Chain, Operations, Finance, IT, and Sales, ensuring measurable ROI and operational excellence.

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. 

EDUCATION & EXPERIENCE 

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).

KNOWLEDGE & SKILLS

Outcome-oriented approach; ability to define the decision, deliver the dataset/app, and measure the impact (margin, cycle time, fill rate, utilization).

Practical architecture bias (buy/assemble where possible, build where it differentiates).

Security-by-design (least privilege, data classification, auditability, PII/security, SOC2/ISO27001 familiarity is a plus).

Clear communicator who can brief executives and coach frontline users.

Work Model: Ability to work full-time, 40+ hours per week (Travel required: Hybrid with monthly Houston site visits and periodic visits to shops/customer sites).

Highly Desired Tools (Nice-to-Haves)

Experience with dbt, Airflow/Prefect, Fivetran/Matillion, Kafka/EventBridge, Snowflake/BigQuery/Azure Synapse, PostgreSQL/SQL Server, and Power Platform (Power Apps/Automate).