Operational Manager West of Scotland Haemophilia Centre

NHS Greater Glasgow & Clyde
Glasgow
2 weeks ago
Create job alert

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK employing around 40,000 staff in a wide range of clinical and non-clinical professions and job roles. We deliver acute hospital, primary, community and mental health care services to a population of over 1.15 million and a wider population of 2.2 million when our regional and national services are included.

Shift pattern for this post is Monday to Friday 8.30am to 4.30pm.

An exciting opportunity has arisen for an Operational Manager at the West of Scotland Haemophilia Centre at Glasgow Royal Infirmary who will have responsibility for the Operational Management of a large Haemophilia Comprehensive Care Centre which covers a large geographical area.

This position is to provide expert analysis and resource in managing and developing the West of Scotland Haemophilia Centre Information system which provides complex, sensitive and confidential information to National Services Division, National Procurement and Divisional Integral to this post will be to manage all aspects of high cost low volume contracts for Haemophilia Treatments for patients and to provide complex sensitive and highly confidential reports to National Services Division, National Procurement and Divisional Management.

The post holder is the lead person for the delivery of clotting factors to patient’s in the West of Scotland (adults and paediatrics), both in hospital and home delivery. The operational activities of which require significant planning and co-ordination across many disciplines.

Degree or diploma in relevant field such as Business Administration, or equivalent experience is required with previous experience and the ability to demonstrate effective supervision of administrative and clerical staff directly involved in patient administration.

Details on how to contact the Recruitment Service can be found within the Candidate Information Packs

NHS Greater Glasgow and Clyde encourages applications from all sections of the community. We promote a culture of inclusion across the organisation and are proud of the diverse workforce we have.

By signing the Armed Forces Covenant, NHSGGC has pledged its commitment to being a Forces Friendly Employer. We support applications from across the Armed Forces Community, recognising military skills, experience and qualifications during the recruitment and selection process.

Candidates should provide original and authentic responses to all questions within the application form. The use of artificial intelligence (AI), automated tools, or other third-party assistance to generate, draft, or significantly modify responses is strongly discouraged. By submitting your application, you confirm that all answers are your own work, reflect your personal knowledge, skills and experience, and have not been solely produced or altered by AI or similar technologies. Failure to comply with this requirement may result in your application being withdrawn from the application process.

For application portal/log-in issues, please contact in the first instance.

Related Jobs

View all jobs

Data Warehouse Manager

Datawarehouse Manager (ERP, Manufacturing, Azure, Cloud)

Datawarehouse Lead (ERP, Informatica, Azure, ETL, SQL, BI)

Data Warehouse Lead (ERP, SQL, BI, ETL)

Datawarehouse ERP Lead (Informatica, Azure Cloud, ETL, SQL, BI)

Data Checking Administrator

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.