IT & Software

Senior Scrum Master - Core Video & Data

Hudl

London · Greater London · United Kingdom

Overview

As a Senior Scrum Master at Hudl in London, you guide Agile squads toward high autonomy while addressing organizational design and dependencies across business units. You design outcomes and information flow to deliver value, not rigid processes. You anticipate impediments with predictive delivery insights and foster a safe, candid environment for tackling hard problems, including AI-enabled development. You align value streams and maintain clear stakeholder signals, helping teams scale responsibly and effectively.

Pay / Benefits
  • flexible vacation
  • remote work options
  • timeout (meeting-free) days
  • wellbeing resources
  • Employee Assistance Program
  • employee resource groups
Responsibilities
  • Coach the system and multiple squads to improve cross-BU collaboration and reduce friction.
  • Architect outcomes by shaping information flow and decision rhythms, not sticking to a single framework.
  • Proactively identify and resolve impediments using predictive data and cross-team dependency mapping.
  • Foster psychological safety and constructive conflict to support hard problem solving.
  • Align value streams and design cross-BU communication layers to maintain visibility and decouple noise.
Key requirements
  • 3+ years as a Scrum Master with track record of sustainable improvements
  • Systems thinker who can reduce siloed designs and duplicated efforts across Business Units
  • Data-driven and predictive, using qualitative and quantitative signals to forecast delivery risk
  • Clear communicator who designs lightweight guardrails and transparent information flows
  • Champion of responsible speed, balancing quality, dependencies, and team sustainability
  • strong communication
  • collaboration across teams
  • problem-solving
  • Experience with multiple Agile frameworks (Kanban, Lean, SAFe) and blending them for outcomes
  • Ability to map value streams and dependencies across a global team
  • Use of predictive metrics to forecast delivery risk and guide decisions

Reference: WJ-747_30299737

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