Job Title : Data and AI Project Manager
Job Location : London, UK
Job Type : Contract
Role & Responsibilities
Possess 18 - 20 years of work experience as a Project Manager exclusively in the Data & AI industry.
Strategic Project Planning : Lead end-to-end planning, execution, and delivery of Data & AI projects. Define project scope, objectives, timelines, and success metrics whilst ensuring technical feasibility of proposed solutions.
Technical Oversight : Must be hands on with cloud technologies (Azure, AWS, Databricks or Snowflake).
Multi-Stakeholder Coordination : Serve as the central coordination point across complex stakeholder ecosystems, including multiple clients, hyperscaler partners, and internal teams.
Agile Delivery Management : Lead agile development processes by facilitating Scrum ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives.
Establish structured communication frameworks ensuring seamless information flow between diverse stakeholder groups whilst coaching teams on agile principles and removing impediments to progress.
Resource Management : Responsible for leading all resources assigned to the project, setting clear objectives and managing performance on a project basis. Responsible for providing feedback on project performance to project boards as appropriate.
Foster collaborative environments that bridge technical teams 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 : Establish and track key performance indicators (KPIs) to monitor project progress, team productivity, stakeholder satisfaction, and partnership effectiveness.
Preferred 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 and understanding of managing new technology adoption by new business users.
Client office two days a week.
Skills Required
snowflake , Databricks, Azure, Aws
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