Manager, Enterprise Data Solutions

Connor, Clark & Lunn Financial Group (CC&L); Vancouver; Hybrid; CAD 135,000 - 165,000; Full time

Benefits offered by this job

Health benefits

Flexible work model

Professional development

Job summary

Connor, Clark & Lunn Financial Group (CC&L) is seeking a Manager, Enterprise Data Solutions to translate data strategy into scalable solutions across the organization. You will lead data initiatives, partnering with investment, operations and technology teams to deliver value.

In this hybrid Vancouver role you will guide architecture, governance and AI-enabled data capabilities while developing leadership depth within Enterprise Data Solutions.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Systems or a related discipline.
• 6+ years of relevant experience in Investment Management, Asset Management or Financial Services.
• 3+ years designing or delivering enterprise data solutions, data architecture or analytics platforms.
• Experience leading technical teams, projects or significant workstreams with accountability for delivery.
• Strong understanding of modern data architecture, data modelling, integration and cloud platforms (Azure, Microsoft Fabric, AWS).
• Practical understanding of AI, machine learning and intelligent automation in data solutions.
• Working knowledge of Python, SQL or similar.
• Strong governance, quality controls and enterprise data management practices.

Responsibilities

• Translate enterprise data strategy into practical roadmaps, priorities and deliverables.
• Lead design and implementation of scalable data solutions and data models.
• Own significant data initiatives from design to delivery with cross-functional teams.
• Integrate AI, ML and automation where value is demonstrated.
• Support data platforms including data lakes, analytics environments and cloud services.
• Establish data governance, quality, lineage and responsible use of AI.
• Collaborate with investment management, operations and technology to meet business needs.
• Lead, coach and develop data professionals and foster strong engineering practices.
• Build leadership depth and resilience within Enterprise Data Solutions.
• Identify opportunities to simplify data environment and improve reliability.

Skills

Leadership

Data strategy

Stakeholder collaboration

Python/SQL

Education

Bachelor's or Master's in CS/DS/Engineering/IS

Tools

Azure

AWS

Microsoft Fabric

Job description

Interested in joining one of Canada’s top performing asset managers?

We are looking for a Manager, Enterprise Data Solutions to help build and deliver scalable data capabilities across the organization.

Working closely with the technology leadership including Senior Manager, Enterprise Data Solutions, this role will provide both technical, strategy and people leadership across our enterprise data environment. You will help translate our data strategy into practical solutions, lead important data initiatives, and develop strong partnerships across investment, operations and technology teams.

A key part of this role is also helping us build greater leadership depth and operational resilience within Enterprise Data Solutions. The successful candidate will develop broad knowledge across our data platforms, architecture and key business processes, and be capable of assuming leadership responsibility across important initiatives when required.

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

What You Will Do

• Data Strategy Execution: Work with the Senior Manager to translate the enterprise data strategy into a practical roadmap, priorities and deliverables.
• Data Architecture & Solutions: Lead the design and implementation of scalable data solutions, data models, integration patterns and platforms supporting investment and enterprise use cases.
• Delivery Leadership: Take ownership of significant data initiatives from design through implementation, coordinating engineers, analysts, business partners and technology teams.
• AI & Advanced Data Capabilities: Help integrate AI, machine learning and intelligent automation into enterprise data solutions where they provide meaningful business value.
• Data Platforms: Support the implementation and evolution of enterprise data platforms, including data lakes, analytics environments and cloud-based data services.
• Data Governance & Controls: Help establish practical standards for data quality, ownership, lineage, controls and responsible use of AI and data.
• Business Partnership: Work closely with investment management, operations and technology teams to understand business requirements and translate them into sustainable data solutions.
• Team Leadership: Lead, coach and develop data professionals while creating clear accountability, strong engineering practices and a collaborative team environment.
• Leadership Depth & Resilience: Develop working knowledge across critical Enterprise Data Solutions responsibilities, platforms and stakeholder relationships so that leadership and decision-making can continue effectively when priorities or availability change.
• Continuous Improvement: Identify opportunities to simplify the data environment, reduce manual processes, improve reliability and increase reuse across the organization.

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, ideally within Investment Management, Asset Management or Financial Services, with exposure to investment, operations, data or technology functions.
• 3+ years of experience designing or delivering enterprise data solutions, data architecture, analytics platforms or related technologies.
• Experience leading technical teams, projects or significant workstreams with accountability for delivery.
• Strong understanding of modern data architecture, data modelling, integration and cloud-based data platforms such as Azure, Microsoft Fabric or AWS.
• Practical understanding of AI, machine learning and intelligent automation and how these capabilities can be incorporated into enterprise data solutions.
• Working knowledge of programming and data technologies such as Python, SQL or comparable tools.
• Strong understanding of data governance, data quality, controls and enterprise data management practices.
• Ability to work effectively with both senior business stakeholders and technical teams, translating between business needs and technology solutions.
• Strong leadership, communication, problem-solving and analytical skills.
• Experience within investment management data domains such as portfolio, security, transaction, reference, market or operational data would be an asset.
• Experience supporting large-scale data transformation or modernization programs would be an asset.

The expected base salary range for this position is $135,000 – $165,000. The midpoint represents our general market target for a fully qualified and experienced individual performing the role. Actual starting salary may fall below or above the midpoint depending on the candidate's relevant experience, skills and qualifications, as well as internal equity considerations. Further questions may be directed to the HR team during the interview process.

What We Offer

• Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
• Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
• Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". The shared goals reflect what matters most to our people:

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [e-mail] if you require accommodation.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.