Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Enterprise Clients Manager

Insights
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Data Engineering Manager

Data Engineering Manager

Senior Consultant or Manager, IT Asset Management / Process Engineer / Data Analyst, Cyber, Exten...

Senior Data Engineer

Senior Data Analyst

Company Description


Insights is a Learning and Development company which aims to change the world through the power of self-awareness.


Our core purpose is to create a world where people truly understand themselves and others and are inspired to make a positive difference in everything they do. Like any brilliant team we’re made up of different people. A career at Insights is about welcoming people for who they are, and supporting their journey towards whoever they want to become.


Across the globe our products help people see themselves and others in a new light, to spark stronger connections in our workspaces and beyond. It all starts within. We're always making sense of ourselves - evolving as we move through life. Discovering our own minds means we're committed to constantly expanding them. And we want to shout about it. We love what we do, and we have fun doing it. That's what makes the magic of Insights. We work in a space where everybody belongs, where you can be unapologetically you.


Job Description


Enterprise Clients is part of our direct sales channel and is truly global, comprised of a collaborative group of salespeople who work together to retain and grow Insights biggest customers. An Enterprise Client is typically a global company working with Insights in multiple geographies; they often have complex requirements, over 5,000 employees, require dedicated management in several countries/languages and are of long-term strategic importance to us.


The team is made up of Enterprise Client Directors, responsible for driving the global growth strategy in a defined portfolio of customers, and, Enterprise Client Managers who contribute to, and deliver the global strategy in their region or market.


This role covers the whole of the UK & Ireland where the majority of the clients interactions are virtual, so there will be limited travel.


  • Responsible for profitably executing the Enterprise Clients account strategy as defined by the Enterprise Clients Director for a specified portfolio of clients. Your portfolio may consist of a specific client list, or you may be required to manage all customer relationships in a specific country or cross-border as required.
  • You'll work to establish strong, senior-level relationships with key client buyers, practitioners, and decision-makers to win large, global projects.
  • Manage and grow a focused portfolio of assigned and named Enterprise Client accounts.
  • Meet or exceed revenue and related targets (profitability, contribution, Customer Happiness) through globally collaborative account planning, management, and execution.
  • Build and develop senior level relationships with key client buyers, Practitioners, and decision makers in support of winning large, global projects.


Qualifications


  • Expertise in selling complex/strategic solutions and managing complex client accounts.
  • An understanding of who the key stakeholders are within L&D so you are making the right connections to network with
  • Driven for results and success, regularly achieving/exceeding goals and objectives.
  • Using CRM and other technology applications to drive personal effectiveness and productivity.
  • Building relationships and influencing stakeholders (including C-suite levels).
  • Demonstrating business acumen and professionalism (internal & external).
  • Highly credible and engaging in front of senior stakeholders internally and externally.
  • Strategic thinker with strong analytical and problem-solving capability.



Benefits:

• 35 days holidays

• Sales Incentive

• Private Medical Insurance

• Income Protection

• Pension Plan

• Health Cash Plan

• Life Assurance

• Electric Car Scheme

• Gym-flex

• Employee Giving

• My Advantage – Employee Discounts

• Critical Illness cover

• Employee Assistance Program

• Holiday purchase option

• Flexible working


Everyone is welcome at Insights. We’re dedicated to creating a space where you belong — that means accepting you for who you are now and supporting you on your journey towards whoever you want to become.

Our colourful solutions help people see themselves and others in a new light and we love encouraging our diverse global community to experience the transformational power of Insights Discovery. Through listening and learning, we will continue to foster the connections that matter to build a more inclusive culture.

It is in our nature to nurture. We have developed an organisation which puts care for our people, inclusion, belonging and wellbeing at the heart of our approach. We’re strengthened by a community where we work together to co-create a culture that celebrates difference and welcomes everybody.

We love learning. We want to be better tomorrow than we are today and we’re up for the journey. Unapologetically human, undoubtedly individual.Colourful to our core.

Read more about inclusivity at Insights via the vacancy page on our website:https://www.insights.com/inclusively-insights/


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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.