Project Manager – Post-Sales Healthcare Software Delivery

Clinisys

2d•Remote

About The Position

Clinisys is an AI-first organization focused on delivering intelligent diagnostic informatics solutions. They build AI-enabled, cloud-based platforms to improve diagnostic workflows in healthcare, life sciences, and public health, aiming to help laboratories operate more effectively and support healthier communities. The company operates in over 30 countries and expects all employees to be proficient with AI-enabled tools and possess digital and analytical thinking skills. Clinisys has a strong reputation for deploying complex diagnostic networks at scale. This role involves overseeing a portfolio of post-sales software delivery projects for NHS and private healthcare customers in the UK, including software enhancements, upgrades, integrations, configuration changes, and service engagements. The role is fast-paced, with Project Managers typically managing multiple concurrent projects of varying complexity, ranging from short engagements to larger programs up to £350,000 and 6-18 months in duration. Experience delivering software projects into the NHS, particularly in pathology, diagnostics, laboratory, or healthcare IT environments, is highly desirable.

Requirements

Minimum 3 years' experience as a Project Manager delivering customer-facing software projects.
Experience working for a software vendor, healthcare technology provider, SaaS provider, or technology services organisation.
Proven experience managing multiple concurrent projects in a high-volume delivery environment.
Experience delivering software-only projects, including upgrades, enhancements, integrations, migrations, or application deployments.
Experience managing project plans, resources, budgets, risks, issues, and dependencies.
Working knowledge of project management methodologies such as PRINCE2, Agile, Waterfall, or similar.
Experience using project management and planning tools.
Experience managing project governance, reporting, and customer-facing delivery activities.
A core understanding of AI concepts is required and must be able to demonstrate the use of AI tools in a professional setting.

Nice To Haves

Experience delivering projects into NHS organisations.
Experience working within pathology, laboratory, diagnostics, LIMS, EPR, or healthcare IT environments.
Experience delivering software solutions used within pathology laboratories.
Experience managing healthcare software projects within acute trusts, pathology networks, or diagnostic services.
Previous experience working in pathology services, laboratory operations, or healthcare delivery before moving into project management would be advantageous.
Experience engaging with pathology managers, laboratory managers, clinicians, and healthcare stakeholders.
Practical experience using Microsoft Copilot or similar generative AI tools to support project management activities, including planning, reporting, risk management, documentation, and delivery management.
Experience incorporating AI-assisted workflows into project delivery, governance, reporting, or operational processes.
Knowledge of Clinisys solutions would be beneficial but is not essential.

Responsibilities

Managing a large portfolio of concurrent customer-facing software delivery projects.
Coordinating software upgrades, system enhancements, integrations, migrations, and other post-sales service engagements.
Owning project plans, timelines, risks, dependencies, budgets, and resource requirements.
Acting as the primary point of contact for customers throughout project delivery.
Collaborating closely with Professional Services, Product, Technical, Support, and Customer Success teams.
Managing project governance, stakeholder communications, and reporting activities.
Identifying and mitigating project risks and issues to ensure successful delivery outcomes.
Supporting customers through implementation, testing, deployment, and project closure activities.
Ensuring projects are delivered within agreed scope, budget, and timescales.
Managing a high volume of projects simultaneously while maintaining delivery quality and contractual commitments.