Project Manager, Data Analyst, IT Project Manager

Your new company
You will be working for a known company based in Coventry. The role requirement is to be on-site 1 day a week. The rate is £626 per day inside scope of IR35. The duration is a 6-month contract with a possible extension. The relevant candidate must have a water/utilities background and experience with computer vision models; machine learning analytics;
IoT and real-time telemetry enhancements; and AI-based decision support systems. Please refrain from calling into the office and instead either apply for the role or send me your CV directly if you meet the above requirements.

Your new role
Detailed

Job Description:

The Project Manager will oversee day-to-day project delivery and ensure safe, efficient, and high-quality execution while managing the six core dimensions of project management:
* Scope* Schedule
* Finance* Risk
* Quality* Resources Strong interpersonal, leadership, and communication capabilities are essential to fulfil this role.
RESPONSIBILITIES Delivery Under the Asset Intelligence Portfolio Projects within the Asset Intelligence Portfolio typically involve advanced analytics, digital tools, telemetry, AI-driven insights, and broader initiatives that increase visibility, performance, and optimisation of clean and wastewater asset networks.

The Project Manager will:

PLANNING AND DELIVERY

Deliver initiatives such as digital twins, asset monitoring solutions, network optimisation tools, and predictive analytics pilots
Coordinate cross-functional delivery teams including data engineers, operational SMEs, suppliers, and innovation specialists
Maintain Agile delivery cadences to accelerate development cycles and iterative release of functionalityPERFORMANCE AND DATA GOVERNANCE

Implement processes ensuring all data-driven solutions comply with data governance, cybersecurity, and operational integrity standards
Track performance metrics for digital assets (e.g., model accuracy, data latency, uptime performance)
Support the adoption and scale-up of Asset Intelligence tools into BAU operationsTECHNICAL AND INNOVATION INTEGRATION

Facilitate testing and validation of new technologies such as: computer vision models; machine learning analytics;
IoT and real-time telemetry enhancements; AI-based decision support systems
Document capability gaps and manage delivery risks tied to data quality, model robustness, and system integration.

PROJECT CO - ORDINATION AND DELIVERY

Plan, execute, and deliver water infrastructure and digital innovation projects
Manage timelines, budgets, and resource plans using Agile frameworks (Scrum, Kanban)
Facilitate Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives
Maintain accurate project documentation, RAID logs, and delivery boards (e.g., Azure Dev Ops, Jira, Trello)
STAKEHOLDER ENGAGEMENT

Act as the primary contact between internal departments (engineering, operations, design, innovation) and external parties (contractors, regulators, customers)
Ensure timely and transparent communication, producing meeting packs, delivery updates, and formal reports
Manage expectations and resolve conflicts across diverse stakeholder groupsINNOVATION SUPPORT

Work closely with innovation teams to test and pilot emerging technologies such as AI, digital twins, and automation tools
Evaluate feasibility, gather stakeholder feedback, track KPIs, and produce technical assessments
Coordinate transition from pilot to scaled operational deployment where applicableCOMPLIANCE AND QUALITY ASSURANCE

Ensure all project risks, issues, and dependencies are logged, monitored, and escalated appropriately
Drive adherence to regulatory standards, safety procedures, and quality assurance processes
Lead audits, readiness reviews, and quality checkpoints to maintain project compliance REQUIRED CAPABILITIES The Project Manager will demonstrate:

Agile Methodology Expertise - Scrum, Kanban, iterative delivery, backlog refinement
Sprint Facilitation - Effective delivery of Agile ceremonies and cadence management
Backlog Management - Organising, prioritising, and refining product and sprint backlogs
Estimation & Planning - Supporting story estimation and realistic sprint planning using Agile metrics
Infrastructure Knowledge - Strong understanding of clean water and wastewater systems
Innovation & Emerging Tech Awareness - Including AI, digital twins, computer vision, and sensing technologies
Risk & Compliance Management - Identifying project risks, implementing mitigation strategies
Stakeholder Engagement -…