356 EN - Director, Data Platform Management

Export Development Canada | Exportation et développement Canada•Montreal, QC

1d•CA$129,928 - CA$173,235•Hybrid

About The Position

As Director, Data Platform Management, you lead the teams accountable for both run excellence and platform evolution. This role is about turning strategy into execution: setting clear priorities, strengthening operational discipline, and enabling greater self serve without increasing risk. You’ll partner closely with peer leaders to simplify complexity, drive outcomes, and keep EDC’s data and AI platforms moving forward.

Requirements

Undergraduate Degree in Computer Science or Engineering; Management Information Systems or relevant discipline.
Minimum 10 years of experience with data and analytics technologies.
Minimum 5 years of experience in leadership and people development.
Minimum 3 years of experience with ITIL/ITSM practices in data technology operations.
Minimum 3 years of experience with Data Solution Architecture in at least 2 of the following capabilities: Business Intelligence, Master Data Management, Enterprise Data Catalogs, Data Engineering & Integration
Minimum 2 years of experience with managed service providers, vendor and contract management.
Proven platform management experience in at least three or more of the following data technology domains: Business Intelligence, Machine Learning and AI, Relational Database Management, Data Governance, Master Data Management, Data Engineering, Data Integration, Azure Cloud Data Platforms.
Experience with deployment orchestration and configuration management tools using Continuous Integration/Continuous Delivery (CI/CD) practices.
Ability to demonstrate solid understanding of Agile delivery practices.
Bilingual in both official languages (English and French) – minimum speaking proficiency (Level B2).

Nice To Haves

Business Intelligence, Machine Learning, Data Governance experience.
Data Engineering or Data Integration (ETL) experience.
Project Management experience or certification (i.e. PMI).
Strong knowledge of the ServiceNow and Azure DevOps platforms.
Knowledge of key data technologies such as Fabric/PowerBI, SQL Server/Oracle RDBMS, Azure Databricks, Microsoft Purview, SAS Viya, Azure Data Lake or other emerging data technologies.

Responsibilities

Set and own the enterprise self‑serve model for data platforms, clearly defining what is self‑provisioned versus centrally managed to enable speed while protecting platform stability and compliance.
Establish and enforce policy-based access and provisioning standards (e.g., role-based access, group driven entitlements) that scale with demand, reduce manual intervention, and strengthen auditability.
Accountable for self service service design and adoption, ensuring the data platform service catalog, onboarding patterns, and technical guardrails enable efficient, consistent platform consumption across teams.
Partner with data governance, cybersecurity, and data owners to ensure self service capabilities are compliant by design—embedding access controls, observability, and lifecycle management directly into platform services.
Lead the design, deployment, and lifecycle management of enterprise data platforms across on premises and cloud environments, ensuring scalability, security, and high performance.
Own the evergreen strategy and technology refresh planning for data platforms, managing lifecycle roadmaps, coordinating refresh cycles, and aligning investments with business priorities and vendor roadmaps.
Define and oversee platform operational metrics (availability, performance, capacity, utilization), ensuring proactive monitoring, trend analysis, and continuous performance optimization.
Lead the response and resolution of major platform and cloud infrastructure incidents, ensuring timely root cause analysis, clear executive communication, and preventative improvements.
Accountable for data platform and cloud infrastructure costs, including contract renewals, vendor performance, and ongoing value optimization across the portfolio.
Align data platform operations with enterprise ITSM/ITOM practices, including incident, change, asset, and configuration management, to ensure predictable and mature service delivery.
Own and communicate platform operational KPIs and risk posture to executive stakeholders, driving transparency, accountability, and informed decision making.
Ensure data platform operations comply with internal policies, audit requirements, cybersecurity standards, and applicable regulatory obligations.
Participate in enterprise risk assessments, business continuity, and disaster recovery planning for critical data platforms and cloud infrastructure components.
Maintain accurate technology inventories, documentation, and lifecycle plans, supporting audit readiness, risk management, and long term platform sustainability.
Lead, coach, and develop high performing teams of data platform administrators, cloud engineers and data architects, building strong technical leadership, clear accountability, and sustainable succession across platform domains.
Create a culture of operational excellence and continuous improvement, where reliability, automation, and learning are embedded in how teams work—not treated as side initiatives.
Set clear direction and expectations for leaders and teams, aligning capacity, skills, and delivery priorities to platform roadmaps, service commitments, and enterprise outcomes.
Act as a trusted partner to executive and cross functional leaders, influencing data platform direction, shaping strategic priorities, and enabling enterprise transformation through strong, credible technology leadership.