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Senior Project Manager (Data & AI)

Technopride Ltd

City Of London

Hybrid

GBP 80,000 - 100,000

Full time

Today
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Job summary

A technology consultancy is seeking a Senior Project Manager to lead multiple projects within their Data & AI program. The ideal candidate will bring over 18 years of experience in project management, particularly in complex technological environments. You will coordinate teams to ensure successful project delivery, maintaining strong communication across stakeholders and leveraging cloud technologies like Azure and AWS. This role requires strategic oversight, leadership, and Agile methodologies, with a preference for candidates holding relevant certifications.

Qualifications

  • 18–20 years of experience as a Project Manager in Data & AI.
  • Experience managing large complex programs with multiple workstreams.
  • Hands-on knowledge of modern cloud platforms.

Responsibilities

  • Manage multiple concurrent projects aligned with strategic goals.
  • Lead end-to-end planning and execution of Data & AI initiatives.
  • Provide hands-on expertise in cloud technologies.

Skills

Strategic oversight
Leadership
Stakeholder management
Agile delivery
Risk management
Cloud technology expertise

Tools

Azure
AWS
Databricks
Snowflake
Job description

Overview

The Senior Project Manager will oversee multiple projects within a Data & AI program. This role requires strategic oversight, strong leadership, and the ability to coordinate across multiple workstreams. The ideal candidate will have extensive experience delivering complex technology programs and will work collaboratively with cross-functional teams to ensure successful delivery against business objectives.

Key Responsibilities
  • Project Leadership: Manage multiple concurrent projects, ensuring alignment with strategic goals and successful delivery of agreed outcomes.
  • Strategic Planning: Lead end-to-end planning, execution, and delivery of Data & AI initiatives. Define project scope, objectives, timelines, and success metrics while ensuring the technical feasibility of proposed solutions.
  • Technical Oversight: Provide hands-on expertise in cloud technologies, such as Azure, AWS, Databricks, or Snowflake.
  • Program Coordination: Act as a central coordination point across complex stakeholder ecosystems, including partners and internal teams.
  • Agile Delivery: Lead Agile delivery processes, facilitating key ceremonies such as daily stand-ups, sprint planning, sprint reviews, and retrospectives. Coach teams on Agile principles and remove impediments to progress.
  • Communication Frameworks: Establish structured communication methods to ensure seamless information flow between business and technical stakeholders.
  • Resource Management: Lead and manage project resources, set clear objectives, monitor performance, and provide feedback to governing bodies or project boards.
  • Collaboration: Foster a collaborative environment that bridges technical and business stakeholders, ensuring clear understanding of project goals and individual contributions.
  • Risk Management: Proactively identify, assess, and mitigate project risks, including technical challenges, resource constraints, timeline delays, and data quality issues.
  • Performance Monitoring: Define and track key performance indicators (KPIs) to monitor project progress, team productivity, stakeholder satisfaction, and partnership effectiveness.
Required Experience & Qualifications
  • 18–20 years of experience as a Project Manager, with significant expertise in the Data & AI domain.
  • Proven ability to manage large, complex programs with multiple workstreams.
  • Strong hands-on knowledge of modern cloud platforms and technologies (Azure, AWS, Databricks, Snowflake).
  • Experience working in Agile environments and leading Agile delivery teams.
  • Excellent stakeholder management, communication, and leadership skills.
Preferred Certifications & Skills
  • Project Management Professional (PMP)
  • Certified Associate in Project Management (CAPM)
  • Certified Scrum Master (CSM) or SAFe Scrum Master (SSM)
  • Azure AI Fundamentals (AI-900) or AWS Certified Cloud Practitioner
  • Experience managing technology adoption for new business users
  • Willingness to work onsite up to two days per week
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