HR Business Process Lead – SAP SuccessFactors Implementation

Slough
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Developer

Group Financial Accountant

Team Lead - Data Analytics

Head of customer connections

Account Executive

Data Science Manager

Role Overview
We are seeking an innovative and experienced HR Business Process Lead to design, document, and drive the realisation of end-to-end global HR processes for a transformative SAP SuccessFactors implementation program. This role focuses on process governance, optimisation and data stewardship, balancing global standardisation with local business and regulatory needs. The ideal candidate will bring a mindset of continuous improvement, leveraging tools like business process modelling, process mining, and Lean Six Sigma methodologies to create efficient, user-centric processes that enhance both business outcomes and employee experience.
Key Responsibilities

  1. Process Governance and Ownership
  • Establish and enforce process governance frameworks to ensure consistency, compliance, and scalability across global HR operations.
  • Act as the process owner, responsible for designing, documenting, and overseeing the implementation of global HR processes.
  • Collaborate with Global Process Owners (GPOs) and stakeholders to align processes with strategic objectives, KPIs, and local regulatory requirements.
  1. End-to-End Global HR Process Design
  • Lead process analysis and process mining exercises to map current workflows, identify inefficiencies, and uncover improvement opportunities.
  • Use business process modeling tools, brown paper exercises, and Lean Six Sigma methodologies to design streamlined and effective processes.
  • Facilitate design workshops to capture input from stakeholders, ensuring processes balance global efficiency with local compliance.
  • Manage and analyse Requests for Change (RFCs), incorporating them into process enhancements.
  1. Process Implementation and Realisation
  • Partner with the inhouse team to drive the realisation of processes in SAP SuccessFactors, ensuring system capabilities align with business requirements.
  • Define and execute Standard Operating Procedures (SOPs), training materials, and KPI reporting frameworks to support successful implementation.
  • Oversee process changes, ensuring their seamless integration into existing workflows while maintaining operational excellence.
  1. Continuous Improvement and User Experience
  • Foster a culture of continuous improvement, regularly reviewing and refining processes to adapt to evolving business needs and user feedback.
  • Place user experience (UX) at the core of process design, ensuring intuitive, employee-friendly solutions.
  • Utilise process performance data to identify trends, root causes of inefficiencies, and opportunities for further optimisation.
  1. Data Stewardship and Ownership
  • Take ownership of the data produced by HR processes, ensuring its accuracy, compliance, and strategic alignment.
  • Collaborate with IT and HR teams to ensure data integrity and seamless integration with other business systems.
  • Leverage analytics to generate actionable insights that support decision-making and process improvement.
  1. Stakeholder Engagement and Collaboration
  • Partner with senior leaders to develop and execute the project deliverables, fostering strong partnerships to ensure successful delivery of process solutions.
  • Build and maintain effective relationships across global and local teams, addressing diverse needs and perspectives.
  1. Training and Change Management
  • Develop and deliver comprehensive training materials and sessions tailored to diverse stakeholder groups.
  • Lead change management efforts, articulating the value of transformation and ensuring strong adoption across the organisation.
  • Use tools like WalkMe or WhatFix to design user adoption journeys and measure their success through metrics such as engagement and NPS.
    Required Skills and Experience
    HR and Process Expertise:
    Proven experience in designing and implementing HR processes in a global context.
    Expertise in process analysis, business process modeling, and tools such as BPMN or Visio.
    Knowledge of Lean Six Sigma methodologies and process improvement frameworks.
    Familiarity with HR/ERP systems, particularly SAP SuccessFactors.
    Data Stewardship and Analytics:
    Strong capability in managing data integrity, compliance, and analytics for process optimisation.
    Understanding of data aggregation from multiple data sources – quantitative and qualitative.
    Continuous Improvement and User-Centric Design:
    Demonstrated ability to lead continuous improvement initiatives, focusing on user experience and operational excellence.
    Experience in mapping and enhancing user journeys for HR personas, such as HR Admins, Managers, and Employees.
    Communication and Collaboration:
    Excellent written and verbal communication skills, with a proven ability to engage and influence stakeholders across global and local teams.
    Strong interpersonal skills to foster collaboration and build relationships in a multicultural, remote-working environment.
    Planning and Organisational Skills:
    Exceptional attention to detail with the ability to manage complex tasks and deliverables in a fast-paced environment.
    Strong planning and project management skills to drive successful outcomes.
    What We Offer
    The opportunity to lead the transformation of global HR processes as part of a flagship SAP SuccessFactors implementation program.
    A dynamic, collaborative work environment that values humility, integrity, courtesy along with innovation, excellence, and user experience.
    Competitive compensation and professional growth opportunities within a forward-thinking organisation

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.