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The Vice-President, Enterprise Data Engineering is accountable for data engineering excellence as a core enterprise discipline s role leads the Enterprise Data Engineering Chapter, setting standards, developing talent, and ensuring consistent, high-quality data engineering practices across all business-aligned delivery teams. Operating within CIBC’s agile-at-scale model, this role drives consistency and promotes standardized best practices for data engineers embedded in product and delivery teams, ensuring the application of consistent engineering patterns, reliability practices, and governance-by-design.
The role partners closely with the Data Platforms organization and is a foundational enabler of trusted analytics, AI, and enterprise decision-making.
As an organizational leader, this role champions:
Always professional
… so our team members can excel and be their best professional self.
Radically simple
… so our team members can focus on what they need to do and make an impact.
Genuinely caring
… so our team members can feel valued for who they are and what they contribute.
Envisions the future…to innovate purposefully to create new value and harness new capabilities in order to meet the evolving needs of our diverse stakeholders.
Inspires hearts and minds…to build an inclusive culture where we make bold choices, collaborate, and empower others to take chances and do what’s right for our stakeholders.
Drives action and impact, together…to align with urgency around what matters, making decisions with speed and always making a real difference.
What You’ll be Doing
Data Engineering Craft & Standards
Own and evolve enterprise data engineering standards, patterns, and reference architectures.
Develop and maintain ELT/ETL frameworks with embedded data quality, metadata, and lineage.
Oversee data contracts, schema evolution, and backward compatibility.
Implement reusable ingestion, transformation, and serving patterns for structured and unstructured data.
Partner with business leaders to build data products enabling scalable, data-driven decision making in an agentic world.
Reliability, Quality & Operations
Establish reliability engineering practices for data systems, including SRE-inspired monitoring, SLAs/SLOs, alerting, and incident management.
Lead root cause analysis and continuous improvement initiatives.
Ensure engineering accountability for data quality and trust.
Talent, Capability & Chapter Leadership
Lead the enterprise Data Engineering Chapter, including role definitions, career paths, and skills development.
Raise the technical bar for data engineers across CIBC.
Coach and mentor senior engineering leaders and practitioners.
Governance by Design
Partner with Data & AI Governance to ensure privacy, security, and regulatory controls are embedded directly into engineering standards and pipelines.
Platform Partnership
Work closely with other senior leaders in the team to influence platform capabilities based on engineering needs.
Ensure strong alignment between platform evolution and engineering patterns.
Drive reuse and reduce fragmentation across the enterprise.
What We’re Looking For
Advanced degree in Computer Science, Engineering, Data Science, Information Technology, or a related field is strongly preferred.
12+ years of progressive experience in data engineering, data architecture, or related technology leadership roles.
Significant experience managing large-scale data engineering organizations in complex, regulated environments (preferably financial services, banking, or similar sectors).
Demonstrated leadership in developing and implementing enterprise data engineering standards, frameworks, and best…
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