Project Manager - Product and Data
Our client is looking for a Project Manager to join a growing analytics and data product function, supporting the delivery of a multi year strategy focused on data driven products across financial services, corporate, and public sector clients.
3 Days in Central London
Up to £80,000 + Benefits
You will work closely with product, engineering, and data teams to deliver new products from early stage discovery through to build and launch. This is a highly cross functional role where you will help coordinate teams, manage dependencies, and ensure projects are delivered efficiently within agile environments.
Key responsibilities:
- Lead end to end project delivery across a portfolio of data and analytics products, from initial concept through to execution
- Partner with product managers and technical leads to define scope, timelines, and resource planning
- Manage cross team dependencies, risks, and governance across multiple concurrent projects
- Ensure delivery aligns with business objectives, budgets, and stakeholder expectations
- Support agile ways of working, driving collaboration and continuous improvement across teams
- Track progress using tools such as Jira and Confluence, providing regular updates to stakeholders
- Identify risks early and implement mitigation strategies to keep delivery on track
- Foster a high performing, collaborative team environment and help resolve blockers
About you:
- Around 5 years of project management experience, ideally within B2B, technology, or data led environments
- Proven experience delivering complex, cross functional projects involving product, engineering, and data teams
- Strong understanding of agile methodologies and project governance
- Confident managing stakeholders and driving alignment across multiple teams
- Experience with project planning, risk management, and budget oversight
- Strong communication, organisation, and problem solving skills
Desirable:
- Exposure to data and analytics platforms such as AWS, Databricks, or Snowflake
- Experience working with data science, machine learning, or GenAI initiatives
- Background in financial data or information services
- Familiarity with APIs or data delivery platforms
- Agile certifications or similar credentials
If of interest, please send your CV now to apply!