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VP, Enterprise Data

Job in Burnaby, BC, Canada
Listing for: Beem Credit Union
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 205000 CAD Yearly CAD 205000.00 YEAR
Job Description & How to Apply Below
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 BC’s 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 you’ll do:

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.
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 in 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 you'll bring:
Bachelor's degree in Computer…
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