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Director, Data Enablement, Data Platfoms

Job in Toronto, Ontario, C6A, Canada
Listing for: Canada Pension Plan Investment Board
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Security, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
** Make an impact at a global and dynamic investment organization
** When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.

CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, São Paulo, and Sydney.

CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:
* Stimulating work in a fast-paced and intellectually challenging environment
* Accelerated exposure and responsibility
* Global career development opportunities
* Diverse and inspiring colleagues and approachable leaders
* A hybrid-flexible work environment with an emphasis on in-person collaboration
* A culture rooted in principles of integrity, partnership, and high performance
* An organization with an important social purpose that positively impacts lives

If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.
** Role

Summary:

** The Data Enablement Team enables the organization to derive value from enterprise data by building reusable platforms, tools, and services that help users and applications discover, understand, and safely consume trusted data products for production, analytics, and research use cases. The team owns the enterprise Data Portal and the Fin Sights BI Portal (one-stop shop for enterprise BI assets), builds low‐latency consumption services on top of the Enterprise Data Fabric and data catalog, and delivers product governance services, operational dashboards, and computational governance embedded into the platform.

The team uses automation and agentic techniques as implementation tools to improve discovery, comprehension, and self‐serve user journeys across departments—while maintaining security, entitlements, and policy controls by design.
** Accountabilities &

Qualifications:

**** Accountabilities*
* • Architect, design, and evolve reusable Data Enablement services with explicit outcomes (time-to-discovery, time-to-access, data trust signals) and measurable adoption targets
• Drive adoption of services through evangelization and advocacy: engage users, understand needs, and iterate the product roadmap to maximize value across departments
• Design for performance, scalability, resiliency, and security-by-design; implement Dev Sec Ops  principles, automation, and operational excellence (SLOs, observability, incident response)
• Create solution architecture artifacts (HLD/LLD, threat models where applicable) and obtain approvals through Architecture Review Board (ARB) and Information Security (Infosec) processes
• Partner with Cloud Foundation and Data Foundation teams to implement enablement solutions aligned to enterprise standards, shared services, and platform guardrails
• Set architecture standards for portal experiences, programmatic interfaces (APIs/SDKs), and consumption services, ensuring interoperability with the Enterprise Data Fabric and data catalog
• Own the operating model for consumer enablement services (product governance, usage/adoption dashboards, health metrics) and drive continuous improvement
• Establish talent development, coaching, and engineering excellence across Lead and Senior engineers; set expectations and raise the bar on delivery and operations
** Leadership Expectations*
* • Enterprise Focus:
Build durable relationships across Technology and Investment departments; align the pod’s roadmap to enterprise outcomes and stakeholder priorities while balancing risk, cost, and time-to-value
• Strategic Thinking:
Translate federated data…
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