Senior Technical Project Manager

Senior Technical Project Manager

Full-Time 58950 - 72050 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead exciting data and analytics projects using Azure technologies.
  • Company: Join a forward-thinking tech company in London.
  • Benefits: Attractive salary, flexible working options, and professional growth opportunities.
  • Other info: Collaborative environment with opportunities to mentor and lead teams.
  • Why this job: Make a real impact by delivering innovative solutions for clients.
  • Qualifications: 10+ years in IT with strong project management and data platform experience.

The predicted salary is between 58950 - 72050 £ per year.

We are hiring Senior Technical Project Manager – Data & Analytics (Azure) for London location JD Below

  • Key Skills
  • 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.
  • 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, foster collaboration.
  • Strong problem-solving and analytical thinking.
  • Proficiency in project management tools (MS Project, Azure Dev Ops, Jira).
  • Understanding of cost optimization and scalability in cloud solutions.

Job Description

Title: Customer-Facing Technical Project Manager – Data & Analytics (Azure)

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.
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Senior Technical Project Manager employer: HCL Technologies Limited

HCL Technologies Limited is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that prioritises employee growth and development. With a strong focus on customer service excellence and operational efficiency, employees benefit from comprehensive training programs and opportunities to enhance their skills while contributing to meaningful projects. The collaborative environment fosters innovation and teamwork, making it an ideal place for those seeking a rewarding career in program and project management.

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Contact Details:

HCL Technologies Limited Recruitment Team

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We think you need these skills to ace Senior Technical Project Manager

Azure Data Platform
Data Lake
Synapse Analytics
Data Factory
Databricks
Power BI
Data Architecture Principles

Some tips for your application 🫡

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