Director, Data Enablement, Data Platforms
Investissements RPC
**Objectif. Performance. Personnes.**Rejoindre CPP Investments, c’est intégrer l’un des investisseurs institutionnels les plus admirés et respectés au monde afin de poursuivre un mandat unique : offrir des rendements solides et durables pour les générations de Canadiens.Grâce à un horizon à long terme et à une portée mondiale, nous déployons des capitaux à grande échelle sur les marchés publics et privés. Notre taille, notre stabilité et notre philosophie d’investissement disciplinée nous permettent de saisir des occasions complexes et de bâtir des partenariats durables à l’échelle mondiale.Pour nos collaborateurs, cela signifie un travail porteur de sens avec un impact concret, de réelles opportunités et une collaboration avec des collègues exceptionnels qui valorisent le partenariat et la performance. Ici, vous contribuerez à des résultats qui comptent aux côtés de membres d’équipe engagés envers l’excellence et le succès collectif.**Résumé du poste:**L’équipe d’Activation des données permet à l’organisation de tirer de la valeur des données d’entreprise en développant des plateformes, outils et services réutilisables qui aident les utilisateurs et les applications à découvrir, comprendre et consommer en toute sécurité des produits de données fiables, pour des cas d’usage en production, en analytique et en recherche.
L’équipe est responsable du Portail de données d’entreprise ainsi que du portail BI FinSights (guichet unique pour les actifs BI de l’entreprise). Elle conçoit des services de consommation à faible latence reposant sur le Data Fabric d’entreprise et le catalogue de données, et fournit des services de gouvernance des produits, des tableaux de bord opérationnels ainsi que des mécanismes de gouvernance computationnelle intégrés à la plateforme.
L’équipe utilise l’automatisation et des techniques agentiques comme leviers d’implémentation afin d’améliorer la découvrabilité, la compréhension et les parcours en libre-service des utilisateurs à travers les différents départements, tout en assurant par conception la sécurité, la gestion des habilitations et le respect des politiques.**Responsabilités et 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 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**Leadership Expectations** - Enterprise Focus: Build durable relationships across Technology and Investment departments;
align the pod’s roadmapto enterprise outcomes and stakeholder priorities while balancing risk, cost, and time-to-value - Strategic Thinking: Translate federated data products and platform strategy into a coherent multi-quarter roadmap;
make trade-offs explicit;
design for scale, reuse, and sustainability - Constructive Engagement: Influence without authority;
drive alignment across Cloud Foundation, Data Foundation, domain pods, Architecture, and Infosec;
communicate decisions clearly and manage competing priorities effectively - Deliberate Execution: Establish operating rhythms, measurable adoption/SLO metrics, and delivery discipline;
ensure high-quality solution architecture artifacts and governance approvals (ARB/Infosec) are obtained on time**Qualifications*** 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 have*** 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)**Preferred certifications**
- 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**#INDGD-T** Vous êtes motivé à contribuer à quelque chose de plus grand que vous-même, abordez des défis complexes avec rigueur et vous vous imposez des normes élevées dans un environnement collaboratif axé sur la performance.**Inclusion et accessibilité**CPP Investments s’engage à assurer un accès équitable à l’emploi et à bâtir une main-d’œuvre qui reflète une diversité de talents et de perspectives. Si vous avez besoin de mesures d’adaptation à n’importe quelle étape du processus de recrutement, veuillez nous en informer et nous travaillerons avec vous pour répondre à vos besoins.**Attention : protégez-vous contre la fraude**CPP Investments s’engage à offrir un processus de recrutement sécurisé et transparent. Nous ne demanderons jamais aux candidats de fournir un paiement ou des informations financières à quelque étape que ce soit du processus d’embauche. Toutes les opportunités légitimes sont affichées sur notre page carrières, et les communications proviendront de notre système de suivi des candidatures, Workday.CPP Investments peut utiliser des outils d’IA pour aider à présélectionner et à évaluer les candidats en analysant les CV et les candidatures afin d’identifier les compétences et l’expérience pertinentes. Ces outils soutiennent la prise de décision humaine, sans la remplacer.#LI-ONSITE*#J-18808-Ljbffr
L’équipe est responsable du Portail de données d’entreprise ainsi que du portail BI FinSights (guichet unique pour les actifs BI de l’entreprise). Elle conçoit des services de consommation à faible latence reposant sur le Data Fabric d’entreprise et le catalogue de données, et fournit des services de gouvernance des produits, des tableaux de bord opérationnels ainsi que des mécanismes de gouvernance computationnelle intégrés à la plateforme.
L’équipe utilise l’automatisation et des techniques agentiques comme leviers d’implémentation afin d’améliorer la découvrabilité, la compréhension et les parcours en libre-service des utilisateurs à travers les différents départements, tout en assurant par conception la sécurité, la gestion des habilitations et le respect des politiques.**Responsabilités et 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 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**Leadership Expectations** - Enterprise Focus: Build durable relationships across Technology and Investment departments;
align the pod’s roadmapto enterprise outcomes and stakeholder priorities while balancing risk, cost, and time-to-value - Strategic Thinking: Translate federated data products and platform strategy into a coherent multi-quarter roadmap;
make trade-offs explicit;
design for scale, reuse, and sustainability - Constructive Engagement: Influence without authority;
drive alignment across Cloud Foundation, Data Foundation, domain pods, Architecture, and Infosec;
communicate decisions clearly and manage competing priorities effectively - Deliberate Execution: Establish operating rhythms, measurable adoption/SLO metrics, and delivery discipline;
ensure high-quality solution architecture artifacts and governance approvals (ARB/Infosec) are obtained on time**Qualifications*** 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 have*** 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)**Preferred certifications**
- 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**#INDGD-T** Vous êtes motivé à contribuer à quelque chose de plus grand que vous-même, abordez des défis complexes avec rigueur et vous vous imposez des normes élevées dans un environnement collaboratif axé sur la performance.**Inclusion et accessibilité**CPP Investments s’engage à assurer un accès équitable à l’emploi et à bâtir une main-d’œuvre qui reflète une diversité de talents et de perspectives. Si vous avez besoin de mesures d’adaptation à n’importe quelle étape du processus de recrutement, veuillez nous en informer et nous travaillerons avec vous pour répondre à vos besoins.**Attention : protégez-vous contre la fraude**CPP Investments s’engage à offrir un processus de recrutement sécurisé et transparent. Nous ne demanderons jamais aux candidats de fournir un paiement ou des informations financières à quelque étape que ce soit du processus d’embauche. Toutes les opportunités légitimes sont affichées sur notre page carrières, et les communications proviendront de notre système de suivi des candidatures, Workday.CPP Investments peut utiliser des outils d’IA pour aider à présélectionner et à évaluer les candidats en analysant les CV et les candidatures afin d’identifier les compétences et l’expérience pertinentes. Ces outils soutiennent la prise de décision humaine, sans la remplacer.#LI-ONSITE*#J-18808-Ljbffr
Vacancy posted 1 hour ago
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