Senior Manager - SAP SuccessFactors

Career Moves Group I B Corp
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Data Science - eBay Live

Data Scientist-Senior Manager

Data Scientist Degree Apprentice within Field Quality Data Scientist Degree Apprentice within Field Quality Apprentices Crewe, GB 6 Feb 2026

Sr Product Manager, Data Science

Data Science Lead / Manager

Senior Simulation Engineer (Data Science)

Join a leading consultancy that guides clients through innovation and transformation to shape their desired future. Combining strategy, technology, data science, and creative design, we drive business innovation and transformation.


About the Company

As a digital innovation, design, and transformation leader, this company help senior executives shape the future of their businesses. With over 10,000 professionals in offices and studios worldwide, they create new digital services, products, and business models for sustainable growth. The company have a commitment to inclusivity and sustainability and promote flexible working arrangements to ensure an optimal work-life balance.


Role Overview

In the context of digital transformation and evolving business models, the Employee Experience & HR team helps clients redefine their HR functions using data and emerging technologies. As an HR Solution Architect specialising in SAP SuccessFactors, you will lead digital HR transformations, leveraging your expertise in HR technology to design and implement solutions that enhance employee experience and achieve business goals.


Key Responsibilities

  • Lead the design of SAP SuccessFactors and HR Technology solutions in HR transformation projects.
  • Provide functional and technical leadership, ensuring alignment with best practices.
  • Manage project workstreams including functional design, testing, data migration, and integration.
  • Translate business needs into scalable, secure, and high-performance solutions.
  • Build relationships with stakeholders and vendors like SAP, Oracle, and Workday.
  • Govern solution design and technical architecture, creating artefacts such as Technology Roadmaps.
  • Develop thought leadership in HR Technology.
  • Mentor and develop junior colleagues.
  • Stay updated on HR technology trends and recommend continuous improvements.


Additional Contributions

  • Internal Contribution: Participate in campaign development, internal think-tanks, and practice development.
  • Learning & Development: Engage in training and certification to support career growth and company needs.
  • Business Development: Lead and contribute to proposals, client pitches, and event hosting.


Ideal Candidate

  • Experience in a major consulting firm or industry with a consulting background.
  • Delivered 3+ full lifecycle SAP SuccessFactors implementations or similar. Experience in capability building , proposition delivery and sales.
  • SAP SuccessFactors certifications (desirable).
  • UK Security Clearance (desirable).

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.