Data & Analytics Delivery Manager

Global Enterprise Partners
Barcelona, Spain
5 days ago
Apply on www.globalenterprisepartners.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Microsoft Azure Cloud Computing Data Architecture Information Engineering Iterative and Incremental Development Scrum Methodology Power BI Enterprise Data Management Data Analytics
+2 more
Tools for Reporting Data Pipelines

Job description

Global Enterprise Partners is looking for an experienced project delivery professional to oversee the successful execution of enterprise Data & Analytics initiatives. This role will act as the bridge between business stakeholders and technical teams, ensuring projects are delivered efficiently, aligned to business objectives, and executed according to agreed timelines and priorities.

The successful candidate will coordinate multidisciplinary teams, drive delivery governance, and support the implementation of scalable analytics solutions within a modern data environment., * Lead the delivery of data and analytics projects from initiation through to deployment.

  • Develop and manage project plans, key milestones, resource requirements, and delivery schedules.
  • Identify, track, and mitigate project risks, issues, and dependencies.
  • Coordinate collaboration between architecture, data engineering, analytics, and AI teams.
  • Ensure business needs are accurately translated into technical requirements and actionable delivery plans.
  • Monitor project progress and provide clear reporting to stakeholders and leadership teams.
  • Facilitate Agile delivery practices, including sprint planning, stand-ups, retrospectives, and backlog management.
  • Support effective communication across technical and non-technical teams to maintain alignment throughout project lifecycles.
  • Drive continuous improvement of delivery processes and project governance standards.

Requirements

Project & Delivery Management

  • Proven experience managing technology-focused projects within a data, analytics, or business intelligence environment.
  • Strong understanding of project governance, dependency management, and stakeholder communication.
  • Ability to manage multiple workstreams while balancing competing priorities.

Data & Analytics Ecosystem

  • Knowledge of enterprise data platforms, data architecture concepts, and analytics workflows.
  • Understanding of modern data pipelines and reporting environments.
  • Experience working with cloud-based analytics solutions, particularly within Microsoft Azure ecosystems.
  • Familiarity with business intelligence and reporting platforms such as Power BI or similar tools.

Agile Methodologies

  • Practical experience applying Agile delivery frameworks, including Scrum and Kanban.
  • Comfortable working within iterative development environments and cross-functional product teams.

Candidate Profile

  • Strong organisational and planning capabilities with attention to detail.
  • Skilled at managing relationships across business and technical stakeholder groups.
  • Excellent communication and facilitation skills.
  • Able to translate complex technical concepts into clear business language.
  • Proactive problem-solver with a structured approach to delivery management.
  • Collaborative leader who can coordinate diverse teams towards shared objectives.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.globalenterprisepartners.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:52 min

Delivering diverse consulting services from agile to artificial intelligence

Ranjit Lopez Ranjit Lopez · Europe 2026 Virtual

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all