The Vice-President, Enterprise Data Engineering is accountable for data engineering excellence as a core enterprise discipline at CIBC. This 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:
CIBC employee experience principles:
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.
CIBC leadership capabilities:
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
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 practices.
Mastery in large-scale data engineering, distributed systems, and advanced data management practices.
Deep understanding of ELT/ETL frameworks, data contracts, schema evolution, and data quality management.
Proven ability to set and evolve enterprise standards, reference architectures, and reusable engineering patterns.
Strong background in software engineering (Python, Java, Scala) and advanced SQL.
Skilled in implementing reliability engineering practices, including SRE principles, monitoring, SLAs/SLOs, incident management, and continuous improvement.
Experience defining roles, career paths, and skills development for data engineers.
Demonstrated ability to coach, mentor, and elevate senior engineering leaders and practitioners.
Ability to embed privacy, security, and regulatory controls into engineering standards and pipelines (“governance by design”).
Strong collaboration skills to partner with Data Platforms, Data & AI Governance, and business-aligned delivery teams.
Ability to drive alignment between platform capabilities and engineering needs.
Capability to drive standardization, reduce fragmentation, and influence enterprise technology direction in a complex, regulated environment.
Skilled in hiring, developing, and managing high-performing teams.
Ability to foster a positive, compliant, and high-accountability culture.
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
*Subject to plan and program terms and conditions
Job Location
Toronto-81 Bay, 16th Floor
Employment Type
Regular
Weekly Hours
37.5
Skills
Enterprise Systems Engineering
