About the role

  • Manager of Data Technology at Servus Credit Union, Canada's largest credit union. Leading data strategy and providing guidance for stakeholders while ensuring best practices in data management.

Responsibilities

  • Lead data strategy and provide guidance for stakeholders.
  • Design, code, and implement solutions for data handling and analysis.
  • Address complex cross-functional issues, optimize integrated data masking, and manage evolving data needs.
  • Analyze, develop, and test advanced services, create complex data models, and ensure robust unit and acceptance testing.
  • Review and update data access technologies to support stakeholder requirements.
  • Validate concepts through technical mockups and proofs before development.
  • Document architecture formally, assess solution viability, and highlight delivery risks.
  • Create reusable components for applications and encourage holistic, long-term thinking.
  • Collaborate to resolve reported issues using troubleshooting skills.
  • Support team members and guide problem-solving efforts.
  • Encourage teamwork and continuous improvement.
  • Practice active listening, escalate issues as needed, and produce clear, professional communication.
  • Lead peer reviews to improve documentation consistency and recognize team contributions.

Requirements

  • Post-secondary degree in computer technology or IT
  • Over 10 years’ experience in Business Intelligence, Data Warehousing, and cloud architecture (e.g., lakehouse)
  • 5+ years with direct management experience of data teams
  • Proficient in SQL, SQL Server, SSAS, SSRS, SSIS, Power BI, ETL tools; familiar with Databricks, MS Azure, DBT, Pentaho, Tibco
  • Skilled in data modelling, Master Data Management, and system support (preferred)
  • Experienced in developing and enforcing coding standards, as well as unit, compliance, integration, volume/stress, and user acceptance testing
  • Strong problem-solving for complex business issues; Agile/Scrum project delivery background
  • Training/experience in analytics, machine learning, AI is an asset; knowledge of banking and financial sectors
  • Excellent listening, needs analysis, collaboration, detail orientation, team guidance, and organizational influence

Benefits

  • Competitive compensation including performance-based incentive pay and profit share
  • Training & Development Opportunities
  • Career Advancement Potential
  • Flexible work options
  • Meaningful work towards individual and corporate goals
  • Opportunities to get involved and give back through an employee volunteer program

Job title

Data Technology Manager

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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