7 часов назад
Product Manager (Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (Data Platform): Shaping the strategy for data catalogue, metadata, and data lineage capabilities within a large-scale data ecosystem with an accent on data discoverability and governance. Focus on defining platform roadmaps, evaluating build vs. buy decisions, and integrating AI/ML to automate data workflows.
Location: Must be based in Canada (specifically Toronto-based for occasional in-person collaboration)
What you will do
- Define and own the product strategy and roadmap for data catalogue, metadata, and data lineage capabilities.
- Identify and solve high-impact problems across data discovery, governance, trust, and usability.
- Collaborate with engineering, design, analytics, and data science teams to deliver robust platform solutions.
- Establish and track key success metrics, including adoption, performance, and business impact.
- Evaluate build vs. buy vs. integration decisions for platform capabilities and external tools.
- Integrate AI/ML trends into the evolution of data infrastructure and automation.
Requirements
- 2+ years of Product Management experience in platform, data infrastructure, developer tools, or analytics products.
- Technical background in Computer Science, Engineering, or equivalent experience.
- Ability to engage deeply with engineering teams and contribute to technical discussions.
- Strong systems thinking to connect user needs, platform architecture, and business outcomes.
- Excellent stakeholder management skills across technical and non-technical audiences.
- Must be based in Canada (Toronto).
Culture & Benefits
- Flexible working model combining remote work with occasional in-person collaboration.
- Opportunity to solve large-scale, high-impact data platform challenges.
- Exposure to cutting-edge work in data infrastructure, governance, and AI-driven systems.
- Collaborative environment with high autonomy and ownership.
- Strong emphasis on learning, experimentation, and continuous improvement.
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