Data & Analytics Delivery Manager
Essential experience:
- Experienced Agile PM or Agile Delivery Manager that has a strong track record in managing and delivering across a multitude of data science and analytics projects
- Experience with Product Owner background that can work with a multidisciplinary team and deliver across products will be ideal candidate
- Experience in data and analytics
- Strong understanding of could-based platforms (PAAS) and data and analytics capabilities including Machine Leaning, Data Science prototyping, Data Pipeline Development and Business Intelligence reporting
The candidate should have a strong background in delivering using cloud-based technologies including Microsoft Azure plus other Data and Analytics capabilities, Microsoft DevOps (VSTS) and Agile delivery methodologies.
Responsibilities:
- Lead the collaborative, dynamic planning process, prioritisation of work that needs to be done against the product roadmap and capacity of the team
- Own the cross-products capacity planning and work allocation optimisation
- Identify risks and issues, assessing and recognising criticalities and contingencies
- Ensure the product team adheres to agile principles and actively try to identify areas of improvement and methods on how to be more efficient
- Contribute and drive improvements in the agile tooling configuration
- Continuously track the delivery progress and report on value releases aligned to the product roadmap
- Facilitate workshops, meetings and stakeholder management within the wider organisation
- Work with the Business Owners to scope the requirements and translate them into a realistic release plan
Technical Skills:
- Understand the fundamentals of product planning and iterative development
- Understands the fundamentals of data and analytics processes and procedures
- Understands the value of commitments to delivery
- Understands backlog planning and tracking, capacity planning across multiple products, burndown and other reporting metrics, velocity tracking and improvements on delivering vs commitments
- Familiarity with common Agile practices, capacity management and multi-functional team planning
- Strong understanding of could-based platforms (PAAS) and data and analytics capabilities including Machine Leaning, Data Science prototyping, Data Pipeline Development and Business Intelligence reporting
This role is Inside IR35.