People Services Manager (Ref: BH-10170) Permanent

Goldhawk Associates
West Malling
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Lead

Market Data Analyst Graduate

Environmental Data Analyst - 12 month FTC

Environmental Data Analyst – 12 month FTC

Data Science Graduate

Senior Manager, Financial Services, Data Engineering / Modelling Lead, AI&D, Technology & Trans[...]

I am recruiting a new opportunity for a People Services Manager to join a very busy team based in West Malling, Kent. As the People Services Manager, you will be responsible for managing the People Services Team to successfully deliver their People Services vision. You will push to ensure the service provided to the People Team and the broader business is consistent, highly professional, and meets or exceeds FTSE100 standards. 

 
Benefits:

Competitive basic salary and annual bonus Company car, car allowance or travel allowance Hybrid working Up to 33 days annual leave plus bank holidays Private Healthcare Enhanced maternity, paternity and adoption leave Competitive contributory pension scheme Life assurance – 4 x your annual salary Share incentive schemes Employee rewards portal with many more benefits

Person Specification:

Behave in line with the company values Proven track record of working within and moving on to successful management of a shared service team HR software and systems knowledge, as well as a good understanding of employment laws and regulations Problem-solving abilities Ability to engage and manage relationships with various stakeholders, including senior management Adaptability, able to adjust in an ever-changing environment Motivational and supportive management skills Excellent communication in all formats Active listener Positive Mindset

 
The Role:

Regulatory Compliance: Ensure all regulatory and legislative obligations are met Team Support and Culture: Proactively support the team, fostering a culture of inclusion and engagement. Manage with a positive, solution-driven approach. Stakeholder Liaison: Serve as the link between senior stakeholders within the People team and the wider business, and the People Services Team to provide prompt and practical solutions to high-level enquiries. Gather insights on how to better support their needs. Process Management: Implement, manage, and review People Services documented processes. Utilize systems and data to identify development areas and drive continuous improvement in service efficiency and effectiveness. Company Intranet Updates: Provide regular updates to the business through newsletters, intranet posts, and meetings to keep everyone informed about People Services activities and initiatives. GDPR Compliance: Ensure data processed and controlled by and within the People Services Team complies with the seven key principles of GDPR regulations. Address non-compliance in conjunction with Data Protection and Privacy guidance. Service Delivery Lead: Develop, publish, and embed customer service standards for all customer-facing People Services tasks. Monitor and report against these standards. Service Design Management: Oversee the design of People Services, leveraging automation and advances in digital technologies. Relationship Development: Build and maintain strong relationships with People Business Partners. Conduct regular cross-department meetings to share knowledge and stay aware of regional challenges and needs. Data-Driven Improvement: Utilize People Systems and available data to identify areas for development and improvement in People Services. Lead these developments with a focus on continuous enhancements within the team and the services offered. Resource Assessment: Regularly evaluate current and future People needs, using data and insights to ensure appropriate resources are available to consistently deliver high-quality service. Right to Work Compliance: Responsible for ensuring all employees have the legal right to work in the country. Maintain up-to-date records and documentation to comply with immigration laws and regulations. Onboarding and Offboarding: Proactively review colleague onboarding and offboarding workflows to ensure the experience aligns with FTSE100 standards. KPI and SLA Monitoring: Track the delivery of agreed KPIs and SLAs, taking prompt action to address any areas of non-delivery or non-compliance. Audit Facilitation: Provide documentation and process clarifications to internal and external auditors as needed. Template Maintenance: Maintain and improve People Services templates within the Applicant Tracking System. Ensure the accuracy of various Terms and Conditions templates and both automated and ad-hoc email templates. Self-Audit: Conduct biannual self-audits of People Services process compliance. Salary and Bonus Processes: Collaborate with the People Data Analyst to assist in the annual salary and bonus review, as well as in year regular bonus payment processes. Liaise with senior stakeholders to ensure timely and accurate data delivery to the Payroll team. Information Management: Responsible for the accurate and timely bulk upload of colleague communication to the self-service portal as required. Business Awareness and Communication: Develop and implement campaigns to inform the business about the roles, responsibilities, and services provided by the People Services team. Legal and Best Practice Updates: Stay current with employment law and best practices, anticipating future changes and assessing their impact on the organization and its people. Values Role Model: Lead by example, demonstrating positive and inclusive behaviours that align with our values

If you would like to discuss this oportunity further then please feel free to reach out for a confidential chat or apply now!

Unfortunately, due to the high number of applications currently being received, only shortlisted candidates will be contacted.

Facebook Twitter Google Plus LinkedIn

Related Jobs

HR Advisor – 6 month FTC (Ref: BH-10168) Contract

Sevenoaks £30000 - £35000

HR Advisor – 6 month FTC with a view to go permanent Salary up to £35,000 dependent on experience Location,...

Apply For This Job

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 Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.