Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director, QA Data Analytics

Abbott
Witney
9 months ago
Applications closed

Related Jobs

View all jobs

Director of Data Science

Director, Machine Learning Centre of Excellence | London, UK

Director, Machine Learning Centre of Excellence

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

The Opportunity

Abbott Diabetes Care (ADC) is looking for a Director of QA Data Analytics. This person will be responsible for defining and executing the global QA Systems and Data Analytics strategy to ensure a sustainable global model can be delivered through established governance, standards, and validated data analytic tools. They will partner with cross-functional business leaders and key stakeholders to identify system and data analytic opportunities that will reduce compliance risk, provide early signals to minimize business impact to our products, drive global standardization, and improve efficiencies by minimizing non-value-added activities.

What You'll Work OnDevelop and manage the QA Systems and Data Analytics strategy and roadmap for ADC Quality Organization. Effectively communicate the analytics approach and how it will meet and address objectives to business partners and leaders Assure the quality systems and data analytic tools are in compliance with Corporate and Division policies and procedures to support quality decision making and internal/external audits Collaborate with key stakeholders to understand business problems to implement scalable and sustainable solutions utilizing cutting-edge technologies and tools Design, create, test, and implement complex models that drive analytical solutions throughout the quality organization that provide actionable insights, identify trends, and measure performance Design, build, and implement systems and tools for collecting, cleaning, and storing appropriate data to support statistical models and business analysis Stay abreast of developments at the intersection of data science, technology, and business relevant to the company and drive business innovation through analytics Determines end results company needs to accomplish, sets objectives to achieve end results, and determines how objectives will be achieved Establishes operating objectives and functional policies, usually through membership on the senior executive team Defines entire Quality & Operations Digital Framework (see below) and our data visualization needs across manufacturing, post market complaints and customer insights in conjunction with our operations colleagues. This framework will have global impact across the manufacturing and quality organization. Quality Digital Framework: Establish Data Governance Program for data & analytic initiatives to enable One Quality System, Safeguard and Industry 4.0 Establish Data Management to empower continuous improvement and provide a primary source of truth, empowering insights. Build automated analysis and reporting of key performance metrics, reducing manual reporting and data compilation. Build a Data Catalog with prioritized datasets from systems used in manufacturing, quality and ERP, reducing data acquisition time. Generative AI and Machine Learning assessments Increase use of our digital systems to maximize intelligent solutions and increase quality complianceRequired QualificationsBachelor's degree in Operations Management, Data Engineering, Data Science, Business Analytics, or related field 16+ years of relevant industry experience
 *

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.