Gogolook's Anti-Scam Common Services are the shared service layer behind Whoscall, ScamAdviser, and our enterprise anti-scam solutions — data ingestion, reputation, and report-handling services built on Gogolook's first-party trust data. The role involves leading product management for these services, making shared capabilities easy to discover, integrate, and use.
Responsibilities
Define and manage the Anti-Scam Common Services roadmap spanning data ingestion, reputation services, shared reporting, and AI-ready interfaces.
Translate business needs into measurable product priorities, balancing reusable shared-service investments against one-off requests.
Treat Gogolook's product managers, business developers, and engineers as your first customers.
Understand how they work, turn recurring needs into reusable capabilities, and improve self-service adoption and independent task completion.
Lead product development for source registration, data import, metadata, ingestion contracts, and monitoring.
Builds and maintains integration flows connecting SAP, SaaS solutions, LCNC apps, data products, events, devices and microservices for Richemont’s Traceability Program.
Responsibilities
Collaborate with PO, Product TTL, & Product Solution Engineers
Investigate multi-system issues
Provide integration RCA and recommendations
Support new features requiring new integrations
Collaborate with business analysts and other functional experts to thoroughly understand and document detailed business requirements for product traceability
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical/supply chain field
Nice to have: Digital Product Passeport (DPP) solutions like EON
Nice to have: integration technology certifications
Transformer la donnée et l'intelligence artificielle en leviers d'action concrets pour optimiser nos chaînes logistiques, automatiser nos processus et sublimer notre offre produit.
Responsibilities
Concevoir, packager et faire vivre la donnée comme un produit fini, fiable, documenté et exposé via des Data Contracts clairs
Concevoir des solutions prédictives et génératives qui automatisent les tâches répétitives des métiers
Intégrer les outils d’IA dans les pratiques de delivery et accompagner la montée en maturité des équipes métiers
Définir la vision du produit, gérer le backlog, mesurer la valeur métier et prioriser les cas d’usage
Formaliser les besoins fonctionnels en utilisant des outils d’IA pour accélérer la rédaction des user stories
The TD Global Technology & Services team is seeking a Senior Business Systems Analyst with expertise in Generative AI process automation products to help shape AI-enabled solutions enabling complex enterprise workflows.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Analyze complex business and technology workflows, identifying decision points, dependencies, constraints, manual activities, control requirements, and opportunities for AI integration.
Develop current-state and future-state models that clarify how proposed AI automations affect processes, people, technology, data, controls, and operational responsibilities.
Collaborate with key stakeholders to determine solutions, assess impact to existing work processes and systems, and how to manage the integration.
Lead technology requirements management for high risk, strategic initiatives.
Model end-to-end agentic workflows, business rules, behavioral logic, approvals, exceptions, escalations, and human intervention points.
Requirements
Bachelor’s degree in Business, Technology, Engineering, Information Systems, or a related field
Lead privacy-centric engineering initiatives within JPMorgan Chase’s Chief Data & Analytics Office, managing the Data Privacy & Governance roadmap and driving technical direction for privacy impact assessments and technology integrations.
Responsibilities
Manage the Data Privacy & Governance roadmap
Lead firmwide privacy initiatives
Drive technical direction for Privacy Impact Assessment
Structure roadmap delivery and operating model
Oversee engineering projects, risks, issues, and dependencies
Requirements
Nice to have: Complex data governance
Nice to have: Security and compliance requirements
Lead the architecture of our modern data stack on BigQuery and dbt, setting the patterns, standards and trade-offs that new and migrated workloads follow.
Responsibilities
Lead the architecture of our modern data stack on BigQuery and dbt
Design and evolve the architecture of our GCP data platform
Own the data ingestion layer
Define and maintain the cross-cutting foundations of the platform
Act as the technical reference for data engineers and analysts
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