
Senior Project Manager
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in United Kingdom.
• Oversee various high-impact data initiatives
• Implement outcome-based tracking frameworks
• Contribute to the evolution of the internal delivery model for AI-enhanced builds
• Collaborate with senior client stakeholders as a trusted advisor
• Define how delivery capabilities are packaged and marketed commercially
• Manage multiple streams of initiatives and project backlogs
• Facilitate Scrum ceremonies, including Sprint Planning, Playbacks, and Stand-ups
• Assist customers and team members in prioritizing workloads to enhance delivery value
• Identify and address risks while working with the team to resolve obstacles
• Promote continuous improvement by encouraging feedback and applying lessons learned
• Share expertise internally and with the broader data community
• Experience in consultancy or client-facing roles
• Demonstrated ability to manage multi-stream initiatives involving senior stakeholders
• Strong commercial insight, particularly in scope control and risk assessment
• Experience in delivering cloud, data, or analytics platforms
• Proficiency with Azure DevOps, Jira, GitHub projects, or similar tools for backlog management
• Comprehensive understanding of project management methodologies, including Agile or Scrum
• Capability to manage multiple projects concurrently while maintaining meticulous attention to detail
• Ability to assist customers and team members in prioritizing workloads effectively
• Experience in facilitating Scrum ceremonies such as Sprint Planning, Playbacks, and Stand-ups
• Competence in quickly and clearly identifying and mitigating risks
• Familiarity with modern data platforms, such as Databricks or Azure, is preferred
• Exposure to AI-assisted engineering or automation delivery is advantageous
• Understanding of Data Lakehouse architecture and implementation patterns is a plus
• Must reside within the UK
• Willingness to travel approximately 25% for customer and team visits
• Industry-matching Maternity & Paternity policy
• Private Medical & Dental Care
• Eye care schemes
• Health & Well-being fund
• 25 Days Annual Leave
• Birthday Leave
• Charity Leave
• Frequent team away days
• Annual Bonus Scheme
• Flexible Working Hours
• Electric Car Scheme
• Opportunities for professional development and learning
• Support for engagement in the data and AI community, including blogging, speaking, mentoring, meetups, conferences, and events
Levi Strauss & Co.
Alcumus
Quality Digital
[solidcore]
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