Data Project Manager

DXC Technology

United Kingdom

On-site

GBP 50,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Flexible working arrangements

Opportunities for professional growth

Access to cutting-edge tools and technologies

Job summary

DXC Technology is seeking a Data & AI Project Management Lead in the UK. This role involves leading data-focused projects, managing teams, and engaging with clients to ensure successful implementation. Required skills include project management experience and proficiency in data tools, making this a pivotal position in delivering impactful solutions.

Qualifications

5+ years in project management focused on data or analytics.
Experience with cloud platforms and BI tools.
Ability to manage multiple projects in fast-paced environments.

Responsibilities

Lead end-to-end delivery of data-centric projects.
Develop standardized project management methodologies.
Mentor a team of data professionals.

Skills

Project Management

Leadership

Data Platforms

Analytical Skills

Problem Solving

Education

Bachelor's Degree in relevant field

PMP, PRINCE2, or Agile certification

Tools

SQL

Python

Agile methodologies

Jira

Asana

Trello

Job description

Job Description

Job Title: Data & AI Project Management Lead

Department: Data & AI

Reports To: Data & AI Delivery Lead

Job Summary

We are seeking a dynamic and experienced

Job Description

Job Title: Data & AI Project Management Lead

Department: Data & AI

Reports To: Data & AI Delivery Lead

Job Summary

We are seeking a dynamic and experienced Data Project Manager to lead cross-functional data initiatives, establish operational frameworks, and drive best practices across data teams. This role requires a strategic thinker with strong leadership skills, a passion for data, and the ability to engage directly with clients to deliver impactful solutions. You will be responsible for designing & governing a new framework for how projects should me scoped, proposed & resourced, managing project lifecycles, mentoring team members, and ensuring alignment between technical execution and business goals.

Key Responsibilities

Project Leadership & Delivery

Design Framework for all Data & AI lead projects to be governed by
Lead end-to-end delivery of data-centric projects, ensuring timelines, budgets, and quality standards are met
Define and manage project scopes, goals, and deliverables in collaboration with stakeholders
Coordinate across data engineering, analytics, and business teams to ensure seamless execution

Best Practices & Frameworks

Develop and implement standardized project management methodologies tailored to data projects (e.g., Agile, Scrum, Kanban)
Establish and maintain best practices for data governance, quality, and documentation
Create reusable frameworks and templates to streamline project execution and reporting

Team Leadership & Development

Manage and mentor a team of data professionals, fostering a culture of continuous learning and innovation
Identify skills gaps and create development plans to support team growth
Facilitate knowledge sharing and cross-functional collaboration

Customer Engagement

Serve as the primary point of contact for clients and stakeholders, ensuring clear communication and alignment
Translate business requirements into technical specifications and actionable plans
Present project updates, insights, and outcomes to both technical and non-technical audiences

Required Skills & Qualifications

Proven experience (5+ years) in project management, with a focus on data or analytics projects
Strong understanding of data platforms, pipelines, and tools (e.g., SQL, Python, cloud platforms, BI tools)
Excellent leadership, communication, and stakeholder management skills
Experience with Agile methodologies and project management tools (e.g., Jira, Asana, Trello)
Ability to manage multiple projects simultaneously in a fast-paced environment
Strong analytical and problem-solving skills

Preferred Qualifications

PMP, PRINCE2, or Agile certification
Experience of data science, analytics, or engineering
Experience working in a client-facing or consulting environment
Familiarity with data privacy regulations (e.g., GDPR, CCPA)

What We Offer

A collaborative and inclusive work environment
Opportunities for professional growth and leadership
Flexible working arrangements
Access to cutting-edge tools and technologies

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