Назад
Company hidden
51 минуту назад

Product Manager, Reusable Data Services (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Product Manager, Reusable Data Services (AI): Orchestrating reusable data services across their lifecycle for clinical trial data transformation and submissions with an accent on product strategy, user experience, agile delivery, and stakeholder alignment. Focus on building prioritized roadmaps, coordinating clinical data dependencies, delivering iteratively, and applying AI-enabled automation to reduce cycle time.

Location: Prague, Czechia

Company

hirify.global develops pharmaceutical and clinical research solutions in a global, international environment.

What you will do

  • Own the reusable data services product lifecycle, vision, strategy, mission, and business outcomes.
  • Conduct product discovery through user journey mapping and design thinking, converting needs into a prioritized backlog.
  • Set and assess roadmap commitments for value, feasibility, usability, and viability.
  • Align priorities and dependencies with clinical data management, biostatistics, standards, and downstream systems such as the SDTM Engine.
  • Lead iterative delivery by managing scope, schedules, risks, and cross-squad dependencies.
  • Define product metrics, OKRs, and KPIs, and identify AI-enabled automation opportunities to improve throughput and reduce cycle time.

Requirements

  • 5+ years of experience in product management, technical product management, or a closely related role delivering data or platform products.
  • Proven experience owning a roadmap and delivering outcomes in an agile or product operating model.
  • Ability to translate complex technical concepts into business value for senior stakeholders.
  • Excellent stakeholder management and communication skills, including influencing without authority.
  • Empathy and strong UX and design judgment.
  • Fluent English required.

Nice to have

  • Experience in pharma, life sciences, or clinical research data, including CDISC, SDTM, EDC, or clinical data management.
  • Familiarity with data privacy and de-identification, medical coding, or data governance.
  • Experience applying AI and automation to improve team productivity.
  • Product management certification such as SAFe POPM, CSPO, or Pragmatic.

Culture & Benefits

  • Global projects, an international environment, and opportunities for professional growth within the company.
  • Pension and health contributions, competitive salary, incentive pay, and an internal reward and referral program.
  • Five weeks of annual leave, five sick days, 15 days of certified sick leave paid above statutory requirements, 40 paid volunteering hours annually, and 12 weeks of parental contribution.
  • Cafeteria benefits, meal vouchers, sport, culture, health and travel options, a Multisport card, and partner discounts.
  • Company laptop and iPhone, garage parking, showers, and refreshments.

Hiring process

  • Apply through the job posting while the Apply button is available.
  • Current employees and contingent workers must use their designated internal application links.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →