QA Manager

Portsmouth
4 days ago
Create job alert

Job Specification: Senior Manager, Quality Control Laboratory

Overview: A leading global manufacturer is seeking a Senior Manager, QC Lab to drive quality, compliance, and continuous improvement initiatives. This role ensures regulatory adherence, optimizes laboratory operations, and advances global and local quality strategies.

Location: Petersfield, Hampshire, UK

Key Responsibilities:

Management of QC Lab Testing



Lead daily QC lab operations to ensure raw materials, mass, and finished goods meet specifications.

*

Manage lab workflow, sample analysis, retention, standards, raw material qualification, TPM testing, outsourced testing, inventory, and documentation.

*

Review execution and KPIs related to data integrity checks.

*

Provide QC expertise for plant hygiene, environmental monitoring, and risk assessments.

*

Liaise with suppliers, R&D, SAS, and other departments regarding test procedures and specification discrepancies.

*

Update SOPs and work instructions based on lab trends and CAPAs.

Testing Data Review & Release

*

Review and approve routine test data, including sample preparation records, chromatograms, logbooks, calculations, and data sheets.

*

Enter test results into SAP/LIMS and oversee the release of raw materials, non-OTC mass, and cosmetic finished goods.

*

Review non-routine test data, including microbiological testing for water systems and validation testing.

Equipment Program Management

*

Lead QC lab equipment budget, purchases, installations, and change control.

*

Review and approve lab equipment qualification protocols and reports.

*

Oversee QC lab equipment administration, including calibration, preventive maintenance, and troubleshooting.

Compliance & Continuous Improvement

*

Ensure lab processes adhere to regulatory GMPs, company policies, and procedures.

*

Participate in internal audits to maintain regulatory readiness.

*

Collaborate with Planning, GBSC, QA Labs, Manufacturing, Validation, and Operations to drive continuous improvement.

*

Monitor and analyze lab KPIs, implementing improvement strategies.

*

Investigate customer complaints, implement corrective actions, and ensure timely resolutions.

*

Support plant and global compliance programs, focusing on GMP, Data Integrity, and GDPR.

Personnel Management & Training

Align QC Lab Managers’ objectives with company and QA strategy goals.

Partner with Quality leadership for succession planning and fostering a high-performance culture.

Provide coaching, mentorship, and training for QC lab staff.

Develop and implement a quality training curriculum for laboratory personnel.

Candidate Profile:

Qualifications

Minimum of eight years’ experience in managerial roles, preferably within microbiology, analytical chemistry, or product evaluation laboratories in Quality Control for a global consumer goods or pharmaceutical company.

Experience and Knowledge

*

Proven ability to manage multiple laboratories in a cGMP environment.

*

Experience in developing and overseeing laboratory SOPs and revisions according to regulatory guidelines.

*

Experience handling microbiological and analytical chemistry data integrity requirements necessary in an HC/FDA/global government agency inquiry and/or audit.

*

Proficiency in statistical data assessment for quality control and decision-making.

*

Proficiency in Microsoft Office Suite, Electronic QMS, and SAP systems is preferred.

Skills and Competencies

*

Communication & Coaching: Ability to clearly and concisely convey quality control requirements, issues, and program implementation to team members. Skilled in guiding cross-functional stakeholders and suppliers through quality control processes and corrective actions.

*

Leadership & Collaboration: Strong leadership and interpersonal skills to effectively manage teams, foster collaboration, and drive quality initiatives.

*

Problem-Solving: Exceptional analytical skills to identify issues, develop solutions, and implement corrective and preventative actions.

*

Data Analysis & Statistical Assessment: Expertise in evaluating data trends and applying statistical methods to enhance quality control and decision-making.

Additional Information: This is an exciting opportunity for individuals looking to make an impact within a global manufacturing environment. If you are passionate about quality control and innovation, we encourage you to apply

Related Jobs

View all jobs

Senior Software Developer

Digital Operations Manager, IT Manager, IT Support Manager

Software Development Manager (Java)

Software Engineers

IT Technical Lead

Test Automation Engineer

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.