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1 день назад

Programme Operations (AI/Data)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/Australia/NZ
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

Programme Operations (AI/Data): Provide operational discipline, financial transparency, and governance support across delivered scopes with an accent on financial tracking, commitment management, and stakeholder coordination. Focus on maintaining consolidated views, tracking risks/dependencies, and ensuring alignment between forecast, delivery, and finance.

Location: Hybrid in London, Sydney, or New Zealand

Company

Leading independent boutique technology firm with global footprint, building bespoke data platforms, intelligent systems, and software products at the intersection of data, AI, ML, data engineering, and software engineering for enterprises, tech companies, and governments.

What you will do

  • Maintain consolidated financial and operational oversight, tracking forecast vs actuals, burn rates, variances, and scope alignment.
  • Manage governance including actions, decisions, risks, dependencies, milestones, and commitments, coordinating proactive follow-ups.
  • Act as central coordination point, translating meetings into clear actions/owners/timelines and supporting consistent ways of working/templates/reporting.
  • Work directly with stakeholders on financial reconciliation and ensure decisions/dependencies are captured and closed.

Requirements

  • Experience providing programme financial tracking, operational oversight, governance coordination, and targeted business analysis support.
  • Ability to maintain structured tracking of commitments, risks, and milestones without adding delivery overhead.
  • Strong coordination skills to align forecast, delivery, finance, and stakeholders across the programme.
  • Comfortable reporting into directors and enabling technical leadership focus on outcomes and execution.

Culture & Benefits

  • Work on interesting, high-impact problems using modern platforms, not legacy systems.
  • Surrounded by senior engineers who know their craft.
  • Autonomy, influence, and room to grow.

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