Director of Data Management and Business Intelligence

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Data Management and Business Intelligence based in Canada. This is a senior leadership opportunity to shape enterprise-wide data strategy, governance, architecture, and business intelligence in a complex, safety-critical environment. You will establish trusted data foundations that help leaders and operational teams make better, faster decisions. The role spans aviation operations, MRO, engineering, supply chain, finance, safety, quality, HR, commercial programs, and executive management. You will lead the evolution of enterprise data platforms, with a strong focus on data quality, integration, security, and scalable BI. You will also guide advanced analytics and AI initiatives, ensuring they are governed, measurable, and aligned with operational needs. Working closely with senior stakeholders and multidisciplinary teams, you will build capabilities, develop talent, and drive enterprise adoption. The role offers broad ownership and the opportunity to directly influence operational readiness, performance, compliance, and long-term growth. Accountabilities • Define enterprise data strategy: Partner with the CIO and senior leaders to establish a multi-year data management and BI strategy aligned with business priorities, technology roadmaps, investment plans, and operational requirements. • Build the data operating model: Establish clear ownership, stewardship, decision rights, architecture standards, delivery practices, and support responsibilities across corporate and regional teams. • Lead data governance: Develop policies and standards covering data ownership, classification, quality, lineage, retention, residency, access, archival, and acceptable use. • Improve data quality: Establish authoritative data sources, common business definitions, quality controls, issue-management processes, and scorecards across critical operational and corporate data domains. • Protect sensitive information: Work with cybersecurity, legal, privacy, export compliance, quality, and security teams to ensure data is appropriately classified, protected, accessed, and shared. • Shape enterprise data architecture: Define architecture for ingestion, integration, master and reference data, lakehouse or warehouse platforms, semantic models, metadata, reporting, monitoring, and reusable data products. • Modernize data integration: Establish secure integration patterns for ERP, MRO, finance, supply chain, engineering, and other enterprise systems using APIs, event-based interfaces, ETL/ELT pipelines, and controlled data exchange. • Strengthen aviation and MRO data: Lead data remediation and governance for maintenance and ERP environments, improving the integrity of aircraft configuration, component history, maintenance plans, technical records, work orders, defects, and inventory information. • Develop performance intelligence: Lead executive, operational, and functional dashboards and establish consistent performance measures covering fleet readiness, maintenance, supply chain, safety, customers, workforce, programs, and financial performance. • Enable self-service analytics: Build governed data products and semantic models that allow business users to access reliable insights without creating uncontrolled copies of sensitive information. • Advance analytics and AI: Identify and govern use cases including predictive maintenance, component reliability, inventory optimization, demand forecasting, anomaly detection, and program risk monitoring, with appropriate ownership, data quality, human oversight, and security controls. • Lead and develop teams: Build a multidisciplinary organization across data governance, architecture, engineering, BI, and analytics while developing talent, succession plans, and critical capabilities. • Manage vendors and investments: Oversee external partners, technology platforms, budgets, licensing, service levels, risks, and total cost of ownership. • Communicate with leadership: Present data risks, investment priorities, architectural decisions, progress, tradeoffs, and measurable business value clearly to executives and non-technical stakeholders. Requirements • Education: Bachelor’s degree in computer science, information systems, data engineering, analytics, business, engineering, or a related discipline; a graduate degree or relevant professional certification is an asset. • Leadership experience: At least 10 years of progressive experience across data management, analytics, BI, enterprise applications, or data architecture, including at least five years leading teams or major cross-functional programs. • Industry experience: Experience in aerospace, defense, aviation, MRO, or another highly regulated and asset-intensive industry is strongly preferred. • ERP/MRO expertise: Demonstrated experience improving data quality and reporting within complex ERP or MRO environments; experience with Ramco is a significant asset, while comparable aviation or enterprise platforms are also relevant. • International experience: Experience operating across multiple countries, legal entities, or security domains, particularly Canada and the United States, is preferred. • Data expertise: Strong knowledge of enterprise data architecture, dimensional and semantic modeling, master data management, metadata, data quality, lineage, SQL, APIs, and ETL/ELT integration. • Cloud and BI technologies: Hands-on understanding of modern cloud data platforms and BI solutions; experience with Microsoft Fabric, Azure, Power BI, and related Microsoft data services is preferred. • Aviation data knowledge: Familiarity with maintenance and supply-chain data, including serialized components, aircraft configuration, maintenance planning, technical records, reliability, and inventory transactions. • Regulatory knowledge: Familiarity with aviation regulatory and qual