Project Manager

Data Project Manager

Hybrid - Central Manchester (2 days per week on‑site)
Salary: Up to £58,000 + 10% bonus
Permanent Role

A technology‑led organisation is investing heavily in the development of its modern data platforms and engineering capability. As part of this, they are seeking a Data‑centric Project Manager to oversee key initiatives spanning data engineering, data pipelines and data platform enhancement.

This role is ideal for someone who enjoys combining Agile delivery with structured project management and some hands‑on business analysis work. If you're comfortable partnering closely with technical data teams, you'll have the opportunity to make a meaningful contribution.

About the Role

In this position, you will take ownership of end‑to‑end delivery across multiple data engineering and platform workstreams. You'll collaborate with Data Engineers, Analysts, Product Owners and Architects to maintain momentum, remove blockers and ensure consistent, transparent delivery.

This is a hybrid role that goes beyond traditional project management-you'll be involved in requirements gathering, triaging new work, supporting data‑focused analysis tasks, and driving backlog and prioritisation activities, alongside structured reporting and governance.

Key Responsibilities

• Lead and coordinate delivery across data engineering, ETL, pipeline and platform projects.
• Partner with technical specialists across data engineering, BI, analytics and architecture.
• Apply Agile and Kanban practices to manage flow, prioritisation and team activity.
• Manage day‑to‑day delivery tasks, including triage, backlog refinement and sprint progression.
• Use Jira, Confluence and JQL for tracking, reporting and governance.
• Produce clear delivery reporting-highlighting progress, risks, issues and dependencies.
• Support requirements definition, analysis and documentation for data‑heavy work.
• Maintain strong governance practices and ensure alignment with broader roadmaps.
• Build solid relationships with both technical and business stakeholders.

Required Experience & Skills

Essential

• Proven background delivering data‑oriented projects (e.g., data engineering, pipelines, platforms, ETL, integrations, warehousing, BI).
• Strong grasp of data concepts such as pipelines, data quality, lineage, schema understanding and basic SQL knowledge.
• Practical experience using Jira, Confluence and JQL.
• Confident working in Agile and Kanban environments.
• Mixed skillset across project management, Agile delivery and BA‑style tasks.
• Ability to triage work, set priorities and keep delivery progressing day‑to‑day.
• Excellent communication and stakeholder engagement skills.

Desirable

• Understanding of modern cloud data technologies (Azure, AWS or GCP).
• Exposure to BI tools, analytics or data governance principles.
• Background working in dynamic, engineering‑driven or rapidly evolving data teams.

Why This Role?

• Be part of a data and engineering function undergoing meaningful modernisation.
• Gain real ownership and visibility, with the chance to shape delivery practices.
• Work closely with technical teams on high‑impact data initiatives.
• Competitive compensation: up to £58,000 + 10% bonus.
• Hybrid working and a supportive environment with strong opportunities for development.