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For Companies At a Glance
- Tasks: Lead data projects, manage lifecycles, and mentor team members.
- Company: Join a forward-thinking IT services company focused on data and AI solutions.
- Benefits: Enjoy flexible working arrangements and access to cutting-edge technologies.
- Why this job: Be part of a collaborative culture that values innovation and professional growth.
- Qualifications: 5+ years in project management with a focus on data; strong leadership and communication skills required.
- Other info: This role is perfect for strategic thinkers passionate about data and client engagement.
The predicted salary is between 43200 - 72000 £ per year.
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 be 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.
Data Project Manager employer: DXC Consulting & Engineering Services
Contact Detail:
DXC Consulting & Engineering Services 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 discuss your experience with these tools during the interview will show that you're ready to hit the ground running.
✨Tip Number 2
Highlight your leadership skills by preparing examples of how you've successfully managed teams in the past. Be ready to discuss specific challenges you faced and how you overcame them to foster a culture of continuous learning.
✨Tip Number 3
Research the latest trends in data governance and quality standards. Being knowledgeable about current best practices will demonstrate your commitment to excellence and your ability to implement effective frameworks.
✨Tip Number 4
Prepare to discuss your client engagement strategies. Think of examples where you translated complex technical requirements into actionable plans for non-technical stakeholders, showcasing your communication skills.
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. This can set you apart from other candidates and show your commitment to professional development.
How to prepare for a job interview at DXC Consulting & Engineering Services
✨Understand the Role Thoroughly
Before the interview, make sure you have a solid grasp of what a Data Project Manager does. Familiarise yourself with key responsibilities like project leadership, best practices, and customer engagement. This will help you articulate how your experience aligns with the role.
✨Showcase Your Leadership Skills
As this position requires strong leadership, be prepared to discuss specific examples where you've successfully led teams or projects. Highlight your ability to mentor others and foster a culture of continuous learning, as this is crucial for the role.
✨Demonstrate Your Technical Knowledge
Brush up on relevant technical skills such as SQL, Python, and familiarity with data platforms. Be ready to discuss how you've used these tools in past projects, as well as your understanding of Agile methodologies and project management tools like Jira or Asana.
✨Prepare for Client Engagement Scenarios
Since you'll be the primary point of contact for clients, think of examples where you've effectively communicated complex data concepts to non-technical stakeholders. Practice explaining how you translate business requirements into actionable plans, as this will be key in your role.
