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обновлено 13 дней назад

Senior Data Product Partner (Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
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
Senior Data Product Partner (Data): Building data strategies, portfolios, and scalable data initiatives that connect business needs with complex data systems, with an accent on measurable value, data quality, and stakeholder enablement. Focus on translating business requests into technical requirements, performing lightweight SQL and Looker analysis, prioritising demand, and turning recurring questions into reliable data products.

Location: Hybrid, with in-person work 3 days per week and a requirement to be within commuting distance of hirify.global hubs. Relocation support may be available for certain roles.

Company

hirify.global is a travel and spend management platform that automates bookings, expenses, invoice processing, and related business workflows.

What you will do

  • Develop data strategies with business leaders and identify high-impact use cases tied to revenue, cost reduction, efficiency, and other measurable outcomes.
  • Translate business needs into clear data projects, technical requirements, priorities, roadmaps, and success criteria.
  • Manage the data portfolio for a business domain and evaluate technical trade-offs with Data teams.
  • Perform lightweight SQL queries, exploratory analysis in Looker, validations, sanity checks, and hypothesis testing.
  • Triage data requests and coordinate handovers to Data Analytics, Analytics Engineering, Data Engineering, Data Science, or Data Governance.
  • Drive data literacy, adoption, data quality improvements, and the conversion of recurring ad-hoc requests into scalable data products.

Requirements

  • Experience bridging business needs, data systems, and technical teams in a data product, consulting, strategy, or related role.
  • Ability to define priorities, measurable projects, business outcomes, and technical data requirements.
  • Working knowledge of lightweight SQL analysis and exploratory analysis in Looker.
  • Strong understanding of data quality, data availability, methodologies, and insight interpretation.
  • Ability to communicate with business stakeholders, executives, and Data teams and coach teams toward self-service.
  • English is the official language at the office; applications should be submitted in English.

Culture & Benefits

  • IRL-first hybrid work model with in-person collaboration 3 days per week.
  • AI-enabled tools are used across functions to support research, prioritisation, communication, and routine work.
  • Global company with more than 1,800 employees across 12 offices and a workforce representing over 70 countries.
  • Values include ownership, curiosity, purpose, collaboration, and delivering a high-quality experience.
  • Equal opportunity workplace with relocation assistance available for certain roles.

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