Director, Data Enablement

CPP Investments | Investissements RPC • Toronto, ON

53d • Hybrid

About The Position

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 FinSights 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.

Requirements

• 10+ years of experience building and operating enterprise platforms and shared services, including web portals and API ecosystems
• Strong experience with cloud platform engineering (AWS), including networking, security, and multi-account environments
• Solid understanding of identity and access management (IAM, authentication/authorization patterns)
• Experience with API and service-based architectures (REST/GraphQL, event-driven patterns, resiliency design)
• Hands-on experience with Infrastructure-as-Code and DevSecOps practices (e.g., Terraform, CI/CD, security controls)
• Experience with observability and reliability practices (monitoring, alerting, incident response, continuous improvement)
• Strong experience in API design and standards (OpenAPI/Swagger, versioning, backward compatibility)
• Experience working with structured data formats and schema processing (e.g., JSON)
• Experience with platform governance, including solution architecture, ARB processes, and Information Security engagement
• Proven ability to lead cross-team delivery and align multiple stakeholders using an outcome-driven approach

Nice To Haves

• Experience with knowledge graph and semantic modeling (e.g., Neptune, RDF/Turtle, lineage, ontology design)
• Experience with agentic or orchestration frameworks (e.g., AWS Bedrock, LangChain, LlamaIndex)
• Understanding of retrieval approaches such as RAG and GraphRAG
• Experience with vector search technologies (e.g., OpenSearch, Pinecone, Weaviate)
• Familiarity with containerization and platform operations (e.g., Docker, Kubernetes/EKS)
• Experience with data query and serving platforms (e.g., Redshift Serverless, Trino, StarRocks)
• Familiarity with distributed data processing and orchestration (e.g., Airflow, EMR, Spark)
• Experience with governed data access patterns (e.g., Lake Formation entitlements)
• AWS Certified Data Engineer – Associate or AWS Certified Data Analytics – Specialty (or equivalent)
• AWS Certified Machine Learning (Specialty or equivalent); experience with SageMaker AI and SageMaker Lakehouse concepts in governed enterprise settings

Responsibilities

• 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 DevSecOps 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed