Global People Systems Manager (Maternity Cover)

OLIVER Agency
London
2 days ago
Create job alert

Established in 2004, OLIVER is the world’s first andonly specialist in designing, building, and running bespokein-house agencies and marketing ecosystems for brands. We partnerwith over 300 clients in 40+ countries and counting. Our uniquemodel drives creativity and efficiency, allowing us to delivertailored solutions that resonate deeply with audiences. As a partof The Brandtech Group, were at the forefront of leveragingcutting-edge AI technology to revolutionise how we create anddeliver work. Our AI solutions enhance efficiency, sparkcreativity, and drive insightful decision-making, empowering ourteams to produce innovative and impactful results. Role: GlobalPeople Systems Manager (1 Year Maternity Cover) Location: UnitedKingdom (Remote or Hybrid Role but must be based within the UK)About the role: We are a fast-paced, entrepreneurial team whereself-starters have an opportunity to make a huge impact as part ofthe wider BrandTech Group. We require a People Systems Manager tolead the People Systems Team to ensure we are continuouslysupporting business change, articulating business requirements,implementing new solutions to ensure maximum potential is achieved,and driving operational performance. This is a transitional timewithin our business, and we are looking for someone who excels innavigating change and thrives in dynamic environments. Thesuccessful candidate will need to be able to lead a team toproblem-solve, adapt quickly to a rapidly evolving environment, andcommunicate effectively with stakeholders across all businessdisciplines. What you will be doing: * Lead and mentor the PeopleSystems Team while also serving as the representative of the PeopleTeam at the lIG Enterprise Forum. * Lead the discovery of systemimprovement opportunities and collaborate with the team to plan andexecute enhancements aligned with business needs. Identify businessissues and inefficiencies, primarily through tech-based solutions.* Ensure that all users within the organization are trainedeffectively on using People Systems, utilising your team and/orsuppliers support offerings. * Ensure your team develops trainingprograms and materials, and track user adoption to maximize thesystems effectiveness. * Collaborate closely with internal platformand infrastructure teams, other departments within the organization(e.g., Finance), and external third-party partners. * Manage theongoing relationships with all current and future People Technologysuppliers. * Contribute to the development of the People Technologyroadmap in collaboration with People Team leadership. * Collaboratewith all stakeholders to ensure that the service quality providedby the People Systems Team aligns with agreed-upon standards. *Stay up to date with data protection regulations and enforce PeopleSystems compliance. * Lead and oversee the implementation ofsecurity measures for safeguarding sensitive HR data and ensure theapplication of best-practice controls to maintain data integrityand regulatory compliance. * Lead change management initiativesrelated to system implementations or updates. Ensure that employeesadapt to the changes and provide support during the transition. *Lead and actively participate in People System projects, takingcharge of implementations, data transfer, automation, integrationimprovements, process redesign, and the design of data securityprocesses. * Oversee the integration of People Systems with otherenterprise systems, such as ERP (e.g., Finance), time andattendance, and learning management systems. Ensure dataconsistency and efficient data exchange. * Develop and maintainreporting and analytics capabilities within the People Systems toprovide actionable insights for HR and other departments. This mayinvolve creating dashboards, data visualizations, and customreports. What you need to be great in this role: * Technicalmindset * Strong organisational skills with the ability to work todeadlines * Methodological and analytical thinker with attention todetail * Team player with a positive attitude and the ability tolead and inspire a team * Trustworthy and discreet withconfidential information * Strong stakeholder management * Advancedexcellent Microsoft Excel skills * Have a passion for dataexcellence and proven track record in HR analytics * Highlymotivated individual ready to overcome barriers and obstacles toreach their goals * Sage People experience is essential * ADPLyrics experience is desirable * Greenhouse experience is desirableReq ID: 12123 #LI-KA1 #LI-director #LI-Hybrid Our values shapeeverything we do: Be Ambitious to succeed Be Imaginative to pushthe boundaries of what’s possible Be Inspirational to dogroundbreaking work Be always learning and listening to understandBe Results-focused to exceed expectations Be actively pro-inclusiveand anti-racist across our community, clients, and creationsOLIVER, a part of the Brandtech Group, is an equal opportunityemployer committed to creating an inclusive working environmentwhere all employees are encouraged to reach their full potential,and individual differences are valued and respected. All applicantsshall be considered for employment without regard to race,ethnicity, religion, gender, sexual orientation, gender identity,age, neurodivergence, disability status, or any othercharacteristic protected by local laws. OLIVER has set ambitiousenvironmental goals around sustainability, with science-basedemissions reduction targets. Collectively, we work towards ourmission, embedding sustainability into every department and throughevery stage of the project lifecycle. J-18808-Ljbffr

Related Jobs

View all jobs

People Analyst

Lead Machine Learning Engineer

Senior AI Product Manager Product - AI · London ·

Subsea Robotics Manager

Manufacturing Digitalisation Manager

Senior Product Manager - Software Application Build

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.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.