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Manager, Enterprise Data Solutions

Connor, Clark & Lunn Financial Group (CC&L)
Vancouver, CAN
Full-time
Mid-Senior
Hybrid
CAD 135,000 to CAD 165,000
Discovered 1 weeks ago
Enterprise data architectureData modelingData integrationCloud data platformsAzureMicrosoft Fabric

Full Job Posting

Role overview

Provide technical, strategic, and people leadership across the enterprise data environment.

Translate data strategy into practical solutions and lead initiatives in partnership with investment, operations, and technology teams.

Develop broad knowledge of platforms, architecture, and business processes to support leadership depth and operational resilience.

The offices currently operate on a hybrid model with three days in office.

What you will do

  • Translate enterprise data strategy into roadmaps, priorities, and deliverables.
  • Lead design and implementation of scalable data solutions, models, integration patterns, and platforms.
  • Own significant data initiatives from design through implementation and coordinate cross-functional contributors.
  • Integrate AI, machine learning, and intelligent automation into data solutions where they provide business value.
  • Support enterprise data platforms, data lakes, analytics environments, and cloud data services.
  • Establish standards for data quality, ownership, lineage, controls, and responsible use of data and AI.
  • Partner with business and technology teams to convert requirements into sustainable solutions.
  • Lead and develop data professionals, support leadership continuity, and identify improvements to reliability, reuse, and manual processes.

What you bring

  • Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline.
  • 6+ years of relevant experience; investment, asset management, or financial services experience is ideal.
  • 3+ years designing or delivering enterprise data solutions, data architecture, analytics platforms, or related technologies.
  • Experience leading technical teams, projects, or significant workstreams with delivery accountability.
  • Knowledge of modern data architecture, modeling, integration, and cloud platforms such as Azure, Microsoft Fabric, or AWS.
  • Practical understanding of AI, machine learning, and intelligent automation; working knowledge of Python, SQL, or comparable tools.
  • Strong understanding of data governance, quality, controls, and enterprise data management.
  • Ability to translate between business stakeholders and technical teams, with strong leadership, communication, problem-solving, and analytical skills.
  • Investment data-domain experience and large-scale data transformation or modernization experience are assets.

Compensation

  • Expected base salary range is CAD 135,000 to CAD 165,000; starting salary depends on experience, skills, qualifications, and internal equity.

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