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- Tasks: Lead complex data and analytics projects using Azure technologies.
- Company: Dynamic tech firm in London focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and professional growth opportunities.
- Why this job: Make a real impact by delivering high-quality solutions for clients.
- Qualifications: 10+ years in IT with strong project management and data platform experience.
- Other info: Join a team that values continuous improvement and mentorship.
The predicted salary is between 72000 - 108000 £ per year.
We are hiring for a Senior Technical Project Manager – Data & Analytics (Azure) for London location.
Technical Expertise
- Deep understanding of Azure Data Platform capabilities (Data Lake, Synapse Analytics, Data Factory, Databricks, Power BI).
- Knowledge of data architecture principles, data modeling, ETL/ELT processes, and cloud-native solutions.
- Familiarity with data governance, security, and compliance in Azure environments.
Project Management
- Proven ability to manage end-to-end technical projects with budgets, timelines, and stakeholder alignment.
- Expertise in Agile and Waterfall methodologies, sprint planning, and resource allocation.
- Strong risk management, issue resolution, and change control skills.
- Excellent communication and presentation skills for client-facing roles.
- Ability to translate technical concepts into business value for stakeholders.
- Skilled in requirements gathering, stakeholder management, and expectation setting.
- Experience leading cross-functional teams (data engineers, architects, analysts).
- Ability to mentor junior team members and foster collaboration.
Other Core Competencies
- Strong problem-solving and analytical thinking.
- Proficiency in project management tools (MS Project, Azure DevOps, Jira).
- Understanding of cost optimization and scalability in cloud solutions.
Experience
- 10+ years in IT with at least 5 years in data platform projects and client-facing roles.
Role Overview
The Technical Project Manager will lead complex data and analytics projects leveraging Azure technologies. This role requires a blend of technical depth and project management expertise to deliver high-quality solutions that meet client expectations.
Responsibilities
- Manage end-to-end delivery of data and analytics projects on Azure.
- Collaborate with clients to define requirements, scope, and success criteria.
- Design and oversee data architecture and integration strategies.
- Coordinate with engineering teams to ensure timely and quality delivery.
- Monitor project progress, manage risks, and provide status updates to stakeholders.
- Ensure compliance with security, governance, and best practices.
- Drive continuous improvement and innovation in project execution.
Preferred Qualifications
- Certifications: PMP, Azure Solutions Architect, or Azure Data Engineer.
- Experience in large-scale enterprise data projects.
- Strong background in customer engagement and stakeholder management.
Senior Technical Project Manager employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Project Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join relevant online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website that highlights your projects and achievements in data and analytics. This is a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to project management and Azure technologies. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Technical Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Platform and project management. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Technical Project Manager role. Share specific examples of your past successes in managing data projects and how you’ve driven value for clients.
Showcase Your Technical Expertise: Don’t forget to mention your familiarity with tools like MS Project, Azure DevOps, and Jira. We love seeing candidates who can demonstrate their technical prowess alongside their project management skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HCLTech
✨Know Your Azure Inside Out
Make sure you have a solid grasp of the Azure Data Platform capabilities. Brush up on Data Lake, Synapse Analytics, and Power BI. Be ready to discuss how you've used these tools in past projects and how they can add value to the role.
✨Showcase Your Project Management Skills
Prepare examples that highlight your experience managing end-to-end technical projects. Talk about your familiarity with Agile and Waterfall methodologies, and be ready to explain how you've handled budgets, timelines, and stakeholder alignment in previous roles.
✨Communicate Like a Pro
Since this role involves client-facing responsibilities, practice translating complex technical concepts into business value. Think of scenarios where you've successfully communicated with stakeholders and how you managed their expectations.
✨Demonstrate Leadership and Collaboration
Be prepared to discuss your experience leading cross-functional teams. Share examples of how you've mentored junior team members and fostered collaboration among data engineers, architects, and analysts to achieve project goals.
