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VP, Enterprise Data

Job in Burnaby, BC, Canada
Listing for: Personal Banking
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 185000 CAD Yearly CAD 185000.00 YEAR
Job Description & How to Apply Below
About Beem
Beem is a new credit union with 80 years of history. Rising to the rapidly evolving challenges of the financial services industry and inspired by cooperative values our founding credit unions recognized that we can do more together. Beem means light. It means energy. It means a brighter financial future. United as Beem we are combining our strengths to better serve our members.

As of January 1 2025 Beem will be one of BCs largest provincially regulated credit unions supporting the financial wellness of 193,000 members from 66 branches across the province with $17 billion in assets under administration. Learn more about our journey at .

This role is open to hybrid working arrangements within British Columbia.

What this role is all about
As the VP Enterprise Data you will be a pivotal leader accountable for shaping and executing our organization’s data strategy. You will oversee all aspects of data operations, analytics, integration, governance, architecture and platform management, driving data‑driven decision‑making and ensuring the integrity, security and accessibility of our data assets.

What youll do
Data Strategy

Develop and execute a comprehensive data strategy aligned with business objectives, market trends and regulatory requirements ensuring a strategic approach to data management and utilization.

Define data governance frameworks, data quality standards and data lifecycle management processes to ensure data integrity, security and compliance across the organization.

Identify opportunities for data‑driven innovation such as advanced analytics, AI/machine learning and predictive modeling to drive business growth and competitive advantage.

Data Operations

Lead data operations to ensure the availability, reliability and performance of enterprise data assets enabling effective data collection, processing, storage and retrieval.

Drive data analytics efforts to derive actionable insights, identify trends and support data‑driven decision‑making across the organization, enhancing business performance and competitiveness.

Data Integration

Oversee data integration processes and tools to facilitate seamless data flow across systems, ensuring data consistency, accuracy and timeliness for informed decision‑making.

Review and interpret valuable insights, trends and correlations to drive strategic business outcomes and operational efficiency.

Data Governance

Establish robust data governance policies, standards and procedures to ensure data quality, security, privacy and regulatory compliance, fostering a culture of data stewardship and accountability.

Oversee effective data governance frameworks and controls to mitigate risks, enhance data integrity and build trust in data‑driven initiatives.

Data Architecture

Oversee the design and implementation of robust enterprise data architecture, including data models, schemas and storage solutions, aligning data architecture with business needs and scalability requirements.

Evaluate and recommend data management technologies and platforms to optimize data architecture infrastructure and performance, driving innovation and agility in data management.

Data Platform Management

Oversee data platform management including databases, data warehouses and analytics platforms, ensuring optimal performance, scalability and reliability of data storage and retrieval mechanisms.

Implement robust data security measures, access controls and disaster recovery plans to protect sensitive data assets and ensure business continuity.

Stakeholder Collaboration

Collaborate with cross‑functional teams including Digital Solutions, technology operations and business to understand enterprise data requirements and deliver analytics solutions.

Communicate complex data concepts and findings to non‑technical stakeholders in a clear and actionable manner.

Talent Development and Leadership

Build and lead a high‑performing team of enterprise data professionals, providing mentorship, coaching and professional development opportunities.

Foster a culture of collaboration, accountability and continuous learning to attract, retain and motivate top talent.

What youll bring

Bachelor’s degree in Computer Science,…
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