Data Scrum Lead
Role details
Job location
Tech stack
Job description
This role will manage a scrum team that will ingest required reference data into the EMEA Data Platform for any future consumers within EMEA. The successful candidate will, amongst other tasks:
- Facilitate efficient and effective software delivery from inception to go-live for the EMEA Data Platform, initial focus will be running the Reference Data Scrum, ingesting reference data into the EMEA Data Platform
- Work with the Product Owners, business stakeholders, data modellers, data engineers, testers and Data Office to deliver a well-planned pipeline of reference data sets.
- Use scrum techniques to deliver reference data requirements within a scrum of scrum structure and drive effective outcomes each sprint., + Responsible for effective and efficient running of Software Development Scrums consisting of Developers, Testers, Physical Data Modellers, Data Governance and other stakeholders.
- Ensure that everyone on the team understands goals, scope, estimates and burndown charts of each iteration.
- Maintain product backlog and agree prioritisation with senior stakeholders.
- Identify and remove obstacles so that the team members can focus on their immediate tasks.
- Keep stakeholders up to date via direct communications, tailored reports and JIRA dashboards.
- Escalate any serious challenges to scope, timelines and budget to senior management.
Requirements
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Broad and deep understanding of reference data utilised in a corporate investment bank.
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Extensive experience of Core Agile methodology experience (Scrum, Scrum of Scrums), including: o Running Scrum ceremonies: Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. o Ensures meetings are productive and time-boxed. o Educates the team and stakeholders on Scrum principles and Agile practices. o Helps the team improve continuously and adopt Agile mindsets. o Supports the team by removing obstacles and enabling progress. o Experience with using Atlassian JIRA
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Understanding of Data Governance practises and subsequent requirements on IT delivery.
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Ability to handle communications at all levels from across the whole business
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Excellent analytical and problem-solving skills
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Ability to work collaboratively in a team environment, share ideas, and contribute to group discussions.
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Attention to detail and a commitment to producing high-quality work with a focus on accuracy and precision.
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Proven ability to work independently on large scale projects while contributing effectively in a collaborative team environment.
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Exposure to concepts like Data Lakehouse and Medallion Architecture, especially with Databricks as the underlying technology.