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12 дней назад

Product Manager - Data Analytics (AI)

1 150 000 - 1 300 000NOK
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Norway
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 Manager - Data Analytics (AI): Building Aidn Analytics, a data platform and analytics experience for Norwegian municipalities with an accent on distributed data ownership, data-driven decision-making, and AI-assisted insight work. Focus on setting product direction, building data products, enabling self-service analytics, and solving adoption and governance challenges in a regulated healthcare environment.

Location: Hybrid in Oslo, Norway, with flexible working hours and location.

Salary: 1,150,000–1,300,000 NOK/year.

Company

hirify.global is a startup building health technology and a healthcare platform for Norwegian municipalities.

What you will do

  • Set the vision, strategy, roadmap, and product direction for hirify.global Analytics in line with municipal needs and hirify.global’s product vision.
  • Define the operating model, governance, and golden paths for distributed data ownership, enabling domain teams to build and own data products.
  • Prioritize work across the data platform, analytics capabilities, and hirify.global Analytics user and developer experience.
  • Define success metrics, use data in product decisions, and help municipalities and internal teams become more data-driven.
  • Use AI tools to analyze feedback, prototype concepts, improve the data developer experience, generate insights, and accelerate delivery.
  • Lead the cross-functional Data & Analytics team day to day, conduct customer discovery, collaborate with leadership and stakeholders, and make build-versus-buy and tooling decisions.

Requirements

  • 5+ years of experience in a data analyst role or similar, with an analytical mindset and a strong understanding of analytics.
  • Experience as a Product Manager or equivalent product leadership, or experience owning a data platform or internal data product and driving changes in governance, self-service, or team ownership across teams.
  • Strong business understanding and the ability to connect data to customer and company value.
  • Hands-on customer and user discovery experience, including uncovering underlying needs behind requested solutions.
  • Experience working with non-technical users, with strong communication and stakeholder management skills.
  • Practical experience using AI in analytics and product work, with informed opinions on its application in analytics.
  • Ability to set direction and lead through influence in an ambiguous, fast-changing environment.
  • Ability to work hands-on with data, including SQL and modern data tooling, when needed.
  • Fluent Norwegian at C1 level for collaboration and testing with municipal users, plus professional English for internal collaboration.

Nice to have

  • Experience with distributed or federated data ownership, data mesh, or enablement models.
  • Experience with dbt or similar transformation tooling and a modern self-service BI tool.
  • Experience with data platform or data product management.
  • B2B SaaS and scale-up experience.
  • Healthtech, public sector, or another high-trust or regulated data environment.
  • Familiarity with data governance and privacy considerations, such as DPIA.

Culture & Benefits

  • High trust, real ownership, and freedom to explore challenging problems and own results.
  • Visible impact on healthcare professionals and municipalities across Norway.
  • Opportunity to build a new Data & Analytics team and platform without legacy constraints.
  • AI is used as a core tool, including agentic tools and workflow automation.
  • Six weeks of vacation, flexible working hours and location, health and wellness benefits, employee shares, pension, insurance, and full pay during parental leave.
  • Collaborative, ambitious, caring, and inclusive work environment.

Hiring process

  • Submit a CV and explain what sparked interest in the role; a cover letter is not required.
  • Application deadline: November 8, 2026.

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