An established organization seeking a *Director, Enterprise Data & Integration* to lead the evolution of its enterprise-wide data and integration capabilities.

This is a senior technology leadership opportunity for an individual who can bring structure, direction, and scalability to an evolving data workplace.

The successful candidate will be responsible for developing an enterprise data strategy, establishing architectural and governance standards, and helping the organization transition from independently managed data initiatives toward a more connected, reliable, and strategically aligned ecosystem.

Working closely with executive leadership and cross-functional technology teams, this individual will play an important role in strengthening the organization's data foundations to support business intelligence, operational efficiency, automation, and emerging artificial intelligence capabilities.

This position combines *strategic leadership, enterprise architecture, technology governance, and team development*.

*Key Areas of Responsibility*

*Enterprise Data Strategy & Transformation*

- Define a long-term vision and practical roadmap for enterprise data management, integration, and modernization.
- Develop the operating structures, technical capabilities, and governance practices needed to support an enterprise-wide data function.
- Align data investments and architecture decisions with organizational priorities and digital transformation objectives.
- Identify opportunities to improve how information is collected, connected, managed, and used across business functions.
- Establish a sustainable approach to treating enterprise information as a shared organizational asset.





*Data Architecture & Integration Leadership*

- Provide architectural oversight for enterprise data ecosystems, integration frameworks, and information management practices.
- Establish consistent approaches to API management, reusable integration services, data pipelines, and event-driven architectures.
- Guide the adoption and governance of enterprise integration technologies, including MuleSoft or comparable platforms.
- Define standards for data modeling, metadata, lineage, master data, and information quality.
- Reduce reliance on fragmented integrations, inconsistent data structures, and isolated technology solutions.
- Ensure enterprise architecture decisions support security, scalability, resilience, and regulatory obligations.

*Cloud Platforms, Analytics & AI Readiness*

- Guide the strategic direction of cloud-based data platforms, analytics environments, and integration technologies.
- Support the evolution of modern data capabilities using technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, Databricks, or similar platforms.
- Partner with technology and business stakeholders to establish trusted data foundations for reporting, advanced analytics, machine learning, and AI initiatives.
- Assess emerging technologies and recommend investments that deliver sustainable business value.




- Encourage platform simplification, interoperability, and the reuse of enterprise data services.

*Technology Leadership & Team Development*

- Build, mentor, and provide technical direction to a developing Data Engineering team.
- Establish clear engineering practices, accountability, and technical delivery expectations.
- Work collaboratively with enterprise architects, cybersecurity teams, application development, infrastructure, and business leaders.
- Support resource planning, initiative prioritization, and execution of enterprise data programs.
- Communicate technical strategy, architectural trade-offs, and investment recommendations to senior leadership.
- Balance long-term architectural objectives with immediate operational and business requirements.

*Governance, Standards & Continuous Improvement*

- Introduce practical governance models that support consistent technology decisions and responsible data management.
- Establish architecture review processes, technical standards, and reusable design patterns.
- Strengthen data quality, security, access controls, and lifecycle management.
- Identify technical debt and integration inefficiencies while developing realistic modernization priorities.
- Promote ongoing improvements in platform reliability, engineering maturity, and enterprise data accessibility.

*What You'll Bring*

*Required Experience & Qualifications*

- 10+ years of progressive experience in enterprise data architecture, data engineering, integration architecture, enterprise architecture, or related technology disciplines.
- Demonstrated success developing or advanc

📌 Director, Enterprise Data (Canada)
🏢 iSource Professionals
📍 Canada