Director of Data Management and Business Intelligence

New
J
JobgetherAviation MRO
Based in CanadaFull-TimeDirector
Salary not disclosed
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Job Details

Languages
Professional fluency in English
Experience
At least 10 years of progressive experience, including at least five years leading teams or major cross-functional programs.
Required Skills
SQLBusiness IntelligenceMicrosoft AzureMicrosoft Power BI

Requirements

  • Bachelor’s degree in CS, Information Systems, Data Engineering, Analytics, Business, or Engineering.
  • At least 10 years of experience in data management, analytics, BI, or architecture.
  • Minimum of 5 years in a leadership role managing teams or cross-functional programs.
  • Experience in aviation, defense, MRO, or a highly regulated, asset-intensive industry.
  • Proven experience with complex ERP or MRO data and reporting.
  • Strong technical knowledge of SQL, APIs, ETL/ELT, metadata, and master data management.
  • Hands-on experience with cloud data platforms and BI tools like Microsoft Fabric, Azure, and Power BI.
  • Familiarity with aviation maintenance, supply-chain data, and regulatory bodies like Transport Canada, FAA, or EASA.
  • Working knowledge of data security, privacy, residency, ITAR/EAR, and NIST SP 800-171.
  • Professional fluency in English.
  • Ability to obtain and maintain Level II Canadian government security clearance and Controlled Goods Program eligibility.

Responsibilities

  • Define and implement a multi-year enterprise data and BI strategy aligned with operational requirements.
  • Establish a data operating model including governance, architecture standards, and clear decision rights.
  • Improve data quality and establish authoritative sources for critical operational domains.
  • Define enterprise architecture for data ingestion, integration, warehousing, and semantic modeling.
  • Modernize integration patterns for ERP, MRO, and financial systems using APIs and ETL/ELT pipelines.
  • Strengthen integrity of aviation-specific data like aircraft configuration, maintenance plans, and inventory.
  • Develop performance intelligence dashboards for fleet readiness, safety, and financial metrics.
  • Govern AI initiatives including predictive maintenance and demand forecasting.
  • Lead and develop a multidisciplinary team across data governance, engineering, and BI.
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