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6 дней назад

Product Owner - AI Ready Unstructured Data Governance (AI)

127 000 - 177 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Owner - AI Ready Unstructured Data Governance (AI): Owning products that govern unstructured and semi-structured data for GenAI and Agentic AI systems with an accent on data cataloging, metadata extraction, quality controls, risk classification, and secure access. Focus on defining the product vision and roadmap, prioritizing governance backlogs, integrating platforms such as Snowflake and AWS S3, and driving adoption through measurable KPIs.

Location: Toronto, Canada. Hybrid work with 3 days per week onsite required.

Salary: CAD 127,000–177,000 annually, including target bonus.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines.

What you will do

  • Own the vision, discovery, roadmap, strategy, backlog, and lifecycle of unstructured and semi-structured data governance products.
  • Extend the AI-Ready Data Framework to content such as technical documents, PDFs, DOCX, PPTX, images, and audio/video.
  • Translate business and governance needs into user stories, acceptance criteria, and prioritized product increments.
  • Partner with engineering, data architecture, UX, Agile delivery, and business teams across discovery, delivery, growth, and sustain phases.
  • Drive governance controls including data cataloging, metadata extraction, data quality checks, risk classification, and least-privilege access.
  • Define product KPIs and adoption metrics, use insights for prioritization, and support change management across business units.

Requirements

  • Bachelor’s degree in Data Science, Engineering, Life Sciences, or a related field.
  • At least 5 years of digital product management experience, including ownership of data, AI, or analytics products.
  • Experience with unstructured and semi-structured data governance, metadata management, data cataloging, data classification, data quality, and access control.
  • Experience working in Agile/Scrum environments with engineering, architecture, UX, and cross-functional delivery squads.
  • Ability to lead user research, define personas, refine backlogs, run sprint ceremonies, and make data-driven decisions using KPI and adoption dashboards.
  • Knowledge of GenAI, Agentic AI, modern data platforms, Snowflake, AWS S3, data catalogs, or regulated industries is advantageous.

Culture & Benefits

  • Supportive, future-focused environment centered on science, AI, and experimentation.
  • Career development opportunities through promotions and international or lateral moves.
  • Rewards package with company employee benefits.
  • Healthcare, prevention, wellness, and family support programs.
  • Equal opportunity workplace with recruitment accommodations available for persons with disabilities.

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