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Delivery Manager - Northampton

Capgemini

London

On-site

GBP 60,000 - 90,000

Full time

11 days ago

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Job summary

A leading company seeks a Technical Project Manager to lead the delivery of sophisticated data pipelines and architectures. This role involves project management using Agile methodologies and collaboration with cross-functional teams to enhance data product development. Exceptional communication and risk management skills are essential for success.

Benefits

Opportunities for growth and well-being
Involvement in cutting-edge digital transformation projects

Qualifications

  • Proven experience managing large-scale technical projects in data-intensive environments.
  • Strong understanding of distributed data architectures.
  • Experience with Agile/Scrum methodologies.

Responsibilities

  • Manage delivery, resource allocation, and continuous improvement of complex technical projects.
  • Engage with internal and external stakeholders to understand needs.
  • Collaborate with engineering and platform teams to build self-service data infrastructure.

Skills

Project Delivery
Agile Leadership
Stakeholder Engagement
Risk Management
Communication
Data Architecture

Tools

AWS

Job description

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At Capgemini, we empower you to shape your career your way. Join a global community where collaboration, innovation, and purpose come together to reimagine what’s possible. Be part of a team that helps the world’s leading organizations unlock the power of technology to build a more sustainable and inclusive future.

Role: Technical Project Manager

We are looking for a highly capableTechnical Project Manager (TPM)to lead the delivery of sophisticated data pipelines and distributed data architectures. This role is pivotal in shaping a flexible, domain-oriented data ecosystem that empowers teams across the enterprise. You will work closely with domain experts, data engineers, data scientists, and platform teams to orchestrate the successful delivery of data products and infrastructure aligned with modern data mesh principles.

Key Responsibilities

  • Project Delivery & Agile Leadership
    Manage the delivery, resource allocation, and continuous improvement of complex technical projects using Agile/Scrum methodologies (planning, stand-ups, demos, retrospectives, and sprint execution).
  • Stakeholder Collaboration
    Engage with internal and external stakeholders to understand needs, manage expectations, and ensure alignment throughout the software product lifecycle.
  • Domain-Oriented Data Architecture
    Facilitate domain identification and help teams establish clear boundaries and ownership of data products in line with data mesh principles.
  • Risk & Change Management
    Identify, assess, and mitigate risks associated with technical projects. Manage change requests and maintain clear communication with stakeholders.
  • Cross-Functional Team Leadership
    Align diverse teams including domain experts, data engineers, data scientists, and platform teams toward shared goals and delivery timelines.
  • Vendor & Governance Management
    Oversee vendor relationships and ensure delivery against agreed terms. Support federated governance models balancing autonomy with compliance and data quality standards.
  • Infrastructure & Integration Support
    Collaborate with engineering and platform teams to build and evolve self-service data infrastructure that supports independent data product development.

Skills And Experience

Required Skills

  • Proven experience managing large-scale technical projects in data-intensive environments.
  • Strong understanding of distributed data architectures, including data contracts, interoperability, and federation patterns.
  • Demonstrated ability to lead cross-functional teams and align stakeholders with varying technical backgrounds.
  • Experience with Agile/Scrum methodologies and software development lifecycle (SDLC).
  • Excellent communication, risk management, and stakeholder engagement skills.

Highly Valued Skills

  • Familiarity with data mesh architecture and domain-oriented data product design.
  • Experience implementing federated governance models for data quality, security, and compliance.
  • Knowledge of self-service data infrastructure and modern data platforms.
  • Proficiency in cloud services (AWS preferred); AWS certification (Solutions Architect or DevOps Engineer) is a plus.
  • Strong business acumen and strategic thinking in digital and technology transformation contexts.

What You’ll Love About Capgemini

A supportive, inclusive culture that values your growth and well-beingOpportunities to work on cutting-edge digital transformation projectsA global network of experts and a collaborative, forward-thinking team

Inclusion & DiversityCapgemini is an equal opportunity employer. We welcome applications from all qualified individuals, regardless of gender, race, disability, age, sexual orientation, religion, or belief. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential.

About CapgeminiCapgemini is a global leader in business and technology transformation. With 340,000 team members in over 50 countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end-to-end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion.

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