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Director of Analytics, Interim (#5736)

N-iX, Київ, Львів
Місто:
Тернопіль
Формат:
повний remote
Джерело:
jobs.dou.ua
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Що робити

  • Rapidly assess the function’s current state and establish a clear interim mandate, target state, and 30/60/90-day plan covering operational continuity, critical risks, transformation priorities, decision dates, accountable owners, and measurable outcomes
  • Own the analytics strategy and portfolio for the interim period, align work to the highest-value business priorities, and make explicit choices about what to accelerate, defer, stop, or resource differently
  • Clarify decision rights, responsibilities, and interfaces among domain analysts, team leads, internal platform and engineering partners, and business stakeholders so the function can operate with pace
  • Lead team leads and analysts through clear objectives, outcome-based accountability, regular coaching, and consistent performance expectations, in partnership with internal People leadership on sensitive decisions
  • Own capacity and workforce priorities for the interim period, including coverage, h

Що очікуємо

  • Substantial senior leadership experience as a Director of Analytics, Head of Analytics, or equivalent, with accountability for multiple analytics teams, team leads, business outcomes, and operational performance.
  • Demonstrated ability to take over a function or at-risk portfolio, establish credibility quickly, stabilize delivery, define a realistic target state, and translate it into a short dated plan with clear owners and measurable outcomes.
  • Strong portfolio and business-partnership experience across Product, Sales, Marketing, Finance, Data Engineering, and senior leadership, including the ability to make and communicate difficult prioritization and capacity trade-offs.
  • Proven people leadership across countries or time zones, with credibility in hiring, onboarding, coaching, performance management, succession, organizational design, reorganizations, and difficult people decisions.
  • Ability to establish a durable analytics operating model: clear decision rights, empowered team leads, consistent intake and prioritization, quality standards, stakeholder routines, and outcome-based performance management

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