Interim Data Delivery Manager
Posted 4 days ago by Eden Smith Group
Negotiable
Undetermined
Undetermined
United Kingdom
Summary: The Interim Data Delivery Manager will lead data-focused delivery teams to ensure the successful delivery of high-quality data products and services. This role involves negotiating delivery objectives with stakeholders, managing project risks, and ensuring alignment with business goals. The manager will oversee various data projects, manage changes in delivery scope, and collaborate with technical teams to refine backlogs. The position requires a strong understanding of data architecture and emerging technologies to enhance delivery practices.
Key Responsibilities:
- Overseeing delivery of a range of different data projects across a diverse variety of business functions.
- 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.
- Proactively map and manage interdependencies, identifying and addressing delivery risks.
- Collaborate with product, service, and technical owners to refine and prioritise backlogs, ensuring alignment with business outcomes.
- Monitor tasks, milestones, and resources weekly against the delivery plan.
- Provide regular reports and updates in line with programme governance and business stakeholder requirements.
Key Skills:
- Understanding of high-level solution architecture of data services or platforms.
- Collaboration with data architects to align delivery outputs with enterprise architecture principles.
- Evaluation of emerging technologies and methodologies to enhance delivery practices.
- 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.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Initial 3-6-month contract - Interim Data Delivery Manager - Incredible opportunity with a global market leading brand. Role Summary 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. Communicate and collaborate with value stream stakeholders to provide visibility into delivery progress, capacity, and risks Drive effective execution of prioritised backlogs, aligning with business goals and technical requirements. Be accountable for the end-to-end delivery of projects including anticipating, identifying and mitigating project risks and managing cross team dependencies.
Responsibilities
- Overseeing delivery of a range of different data projects across a diverse variety of business functions
- 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.
- Proactively map and manage interdependencies, identifying and addressing delivery risks.
- Collaborate with product, service, and technical owners to refine and prioritise backlogs, ensuring alignment with business outcomes.
- Monitor tasks, milestones, and resources weekly against the delivery plan.
- Provide regular reports and updates in line with programme governance and business stakeholder requirements.
Technical Capabilities
- Understand the high-level solution architecture of the data service or platform and its interface points.
- Collaborate with data architects to align delivery outputs with enterprise architecture principles.
- Evaluate emerging technologies and methodologies to enhance delivery practices.
- 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.