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For Companies At a Glance
- Tasks: Lead data projects, manage teams, and ensure successful delivery of impactful solutions.
- Company: Join a forward-thinking IT services company focused on data and AI innovation.
- Benefits: Enjoy flexible working arrangements, professional growth opportunities, and access to cutting-edge technologies.
- Why this job: Be part of a collaborative culture that values continuous learning and innovation in data management.
- Qualifications: 5+ years in project management with strong data knowledge; Agile experience preferred.
- Other info: This role is ideal for strategic thinkers passionate about data and client engagement.
The predicted salary is between 36000 - 60000 £ per year.
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
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Project Management and Information Technology
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Industries
IT Services and IT Consulting
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Data Project Manager employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Project Manager
✨Tip Number 1
Familiarise yourself with Agile methodologies and project management tools like Jira or Asana. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you've successfully managed teams or projects. Prepare specific examples that highlight your ability to mentor others and drive project success.
✨Tip Number 3
Engage with the data community through networking events or online forums. Building connections with professionals in the field can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Research StudySmarter's current projects and initiatives in the Data & AI space. Being knowledgeable about our work will allow you to tailor your conversations and show genuine interest in contributing to our goals.
We think you need these skills to ace Data Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management, particularly in data or analytics projects. Use specific examples that demonstrate your leadership skills and familiarity with methodologies like Agile or Scrum.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and your strategic thinking abilities. Mention how your previous experiences align with the responsibilities of the Data Project Manager role, especially in client engagement and team leadership.
Showcase Technical Skills: Clearly outline your technical skills related to data platforms, tools, and programming languages such as SQL and Python. This will help demonstrate your capability to manage data-centric projects effectively.
Highlight Certifications: If you have any relevant certifications like PMP, PRINCE2, or Agile, make sure to include them prominently in your application. These credentials can set you apart from other candidates and show your commitment to professional development.
How to prepare for a job interview at DXC Technology
✨Showcase Your Project Management Experience
Be prepared to discuss your previous project management roles, especially those related to data or analytics. Highlight specific projects where you successfully led teams, managed budgets, and met deadlines.
✨Demonstrate Your Technical Knowledge
Familiarise yourself with the tools and platforms mentioned in the job description, such as SQL, Python, and Agile methodologies. Be ready to explain how you've used these in past projects and how they can benefit the role.
✨Prepare for Client Engagement Scenarios
Since this role involves direct client interaction, think of examples where you've effectively communicated complex technical information to non-technical stakeholders. Practice articulating how you translate business needs into actionable plans.
✨Emphasise Leadership and Mentoring Skills
The role requires managing and mentoring a team, so be ready to discuss your leadership style. Share experiences where you've fostered team growth, identified skills gaps, and facilitated knowledge sharing among team members.
