People Data Compliance & Governance Manager

London
2 months ago
Applications closed

Related Jobs

View all jobs

Information Asset Register Lead

Data Governance & Enablement Manager

Analytics Governance Analyst

Senior Manager, Compensation Benefits

Information and Data Governance Lead

HR & Professional Services Sourcing Manager

We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solution (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.

We are looking for a People Data Compliance & Governance Manager for a 12 month contract based in London or Derby - hybrid working 1 day per week on site, on behalf of our globally respected client who develop cutting-edge technologies that deliver clean, safe and competitive solutions to meet the planet's vital power needs.

Job description - the role

You will be responsible for overseeing the compliance and governance of employee data within the organisation. This role involves ensuring that all data handling practices adhere to legal and regulatory requirements, implementing data protection policies, managing data privacy risks, and maintaining data integrity and security. You will also collaborate with various departments to promote best practices in data management and provides training and support to ensure compliance across the organisation.

As a People Data Compliance & Governance Manager you will be responsible for:

Managing the governance and provision of people data for statutory and regulatory reporting including the Annual Report, Corporate Sustainability Reporting Directive (CSRD), FTSE100 reporting etc.
Managing compliance of People data and reporting within data privacy standards - including GDPR, German Works Councils and data privacy regulation.
Owning the Major People Data Breach risk, ensuring controls are implemented and operated effectively.
Liaising with internal and external Stakeholders at all levels.
Consolidating and accurately compiling data, presenting comprehensive findings to staff and stakeholders with clear, well-supported explanations.What we require from the candidate:

Extensive experience, knowledge, and understanding of people data.
In-depth knowledge of Governance principles and practices.
Experience of working within large organisations.
Experience of HR data management, provision and reporting, preferably in a FTSE100 or corporate environment.
Strong knowledge of statutory reporting, corporate reporting frameworks and data privacy standards.
Strong Stakeholder Management.Next steps

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

Please note that due to recent changes in Off Payroll (IR35) legislation, our client only operates with contractors that operate via a PAYE or Umbrella model. We are unable to accept applications from candidates wishing to operate under their own Limited Company.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.