Improvement and Complaints Standards Manager

Bridgend
2 weeks ago
Applications closed

Related Jobs

View all jobs

Reward and Payroll Manager

Care Team Manager

Quality Coordinator

Qualified Person (QP) - Pharmaceutical

Maintenance Manager

Principal Data Engineer

Improvement and Complaints Standards Manager - Permanent - £49,764 - £54,090

Closing Date: Midday on 31st March 2025.

The Opportunity

Yolk Recruitment has partnered with the Public Services Ombudsman for Wales to source an Improvement and Complaints Standards Manager.

Offering hybrid working, flexible working with generous annual leave allowances, civil service pension, CPD and a wide range of health & well being benefits firmly positions the Ombudsman as an employer of choice for job seekers across Wales and beyond.

The Ombudsman is committed to equal opportunities and guarantee interviews for candidates with disabilities who meet the minimum selection criteria.

The Role

The Improvement and Complaints Standards Manager will lead and promote the Wales Complaints Standards Authority, working with external bodies to implement effective complaints handling procedures as well as managing a small team.

Establish the Complaints Standards Authority as a centre of best practice in complaint handling.
Deliver training to bodies, alongside training officers, to improve their complaints handling performance.Requirements

The successful Improvement and Complaints Standards Manager will have most of the following experience:

Line management experience, ideally in a complaints or local authority environment or from the wider public sector.
Demonstrable ability to build strong working relationships with excellent interpersonal skills.
Experience of qualitative and quantitative research and analysis.
Experience delivering training.
Excellent communication and report writing skills.Reward

The successful Improvement and Complaints Standards Manager will be rewarded with the following:

Salary of £49,764 - £54,090
Civil service pension scheme
32 days annual leave + bank holidays
Flexi-time scheme
Discounted gym and many more benefits.Think this one's for you?

Yolk Recruitment is the exclusive recruitment partner to the Ombudsman and therefore all applications will be managed by the team at Yolk following the Ombudsman's own fair and transparent recruitment process.

You can request a candidate pack which includes the full Job Description and Person Spec from Richard Coombs at Yolk Recruitment.

You can apply in English or Welsh. Applications in Welsh will be treated no less favourably

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.