Be accountable for the end-to-end delivery of projects including anticipating, identifying and mitigating project risks and managing cross team dependencies.
Communicate and collaborate with value stream stakeholders to provide visibility into delivery progress, capacity, and risks
Collaborate with product, service, and technical owners to refine and prioritise backlogs, ensuring alignment with business outcomes.
Manage changes in delivery scope or requirements, negotiating as necessary with business stakeholders.
Consider and manage non-functional requirements such as information security, data protection (GDPR), and compliance with internal standards.
Monitor tasks, milestones, and resources weekly against the delivery plan. Provide regular reports and updates in line with programme governance and business stakeholder requirements.
Evaluate emerging technologies and methodologies to enhance delivery practices.
Collaborate with data architects to align delivery outputs with enterprise architecture principles.
Lead one or more data-focussed delivery teams to ensure successful delivery of high-quality data products and services in a way that aligns to the goals of the value streams and our data strategy.
Negotiate and agree with value stream stakeholders on delivery objectives, scope, deliverables, timescales, and budgets.
Overseeing delivery of a range of different data projects across a diverse variety of business functions
Proactively map and manage interdependencies, identifying and addressing delivery risks.
Drive effective execution of prioritised backlogs, aligning with business goals and technical requirements.
Requirements
databricks
data factory
power bi
data warehousing
data modeling
solution architecture
Understand the high-level solution architecture of the data service or platform and its interface points.
Have an awareness of different technologies used within a typical data stack, such as Databricks, Azure Data Factory and Power BI.
Knowledge of data warehousing and data modelling approaches and appropriate use.