Enterprise Sales Director, UK & Europe (Basé à London)

Jobleads
London
4 weeks ago
Create job alert

About Demyst

At Demyst, we're transforming the way enterprises manage data, eliminating key challenges and driving significant improvements in business outcomes through data workflow automation. As we launch the next generation of our platform (https://zonic.demyst.com/), we're expanding our team and seeking talented individuals to help us scale.

We simplify workflows, eliminating the need for complicated platforms and expensive consultants. With top-tier security and global reach, we're helping businesses in banking and insurance achieve digital transformation. If you're passionate about data and effecting change, Demyst is the place for you.

The Role

As Enterprise Sales Director, UK & Europe you will be responsible for new logo acquisition within the region, and be rewarded for new and incremental ARR sales plus retention.

Demyst’s target market is Tier 1 Banks & Insurers; typical buyers are Heads of Digital Transformation, Product / Program / Platform owners, and their teams. These teams are driving significant change to their business, pursuing workflow automation outcomes across marketing, customer acquisition / conversion, risk, fraud / KYC, and servicing. Following an easy onramp for the 1st use case, deals have an enterprise sales size, length, and complexity. Partnering with internal technical subject matter and data experts you will lead the strategy, activity, and closing of all sales motions across your target accounts - particularly new logos.

To achieve quota, you will need to gain an intimate knowledge of your clients and prospects, and as such should expect to spend significant time onsite with them. You will be the voice of your customers internally and should keep up to date with the latest industry trends and topics.

You will undergo a thorough onboarding program, learning independently and from colleagues with deep technical know-how from across the world. You will have great benefits, autonomy, and flexibility in work, with unlimited upside reflecting the value you can deliver to customers.

Demyst is a remote-first business with staff situated across the globe. This role requires significant travel within the UK and mainland Europe, and as such, you will need to be based in the United Kingdom, within commutable distance of a major airport to facilitate travel.

Minimum Requirements

  • A natural hunter with 5+ years enterprise sales experience (SaaS, Software, or Data Management solutions preferred)
  • Experience selling into Banking, Insurance, and FinTech industries, with a strong understanding of the core functions and roles within the client, as well as the external factors and strategic goals across the industry
  • Demonstrable success in meeting and exceeding 7-figure sales quotas; and a proven ability to drive large, complex sales from start to finish, utilizing excellent communication, written, and presentation skills
  • Proficient enough technically to understand both client & Demyst data architecture, tools, and workflows - coordinating with technical pre-sales to propose Demyst deployment patterns
  • Proven stakeholder management and engagement - up, down, and across the client organization and within Demyst
  • Strong ability to influence through thought leadership and consultation at all levels within global, matrixed organizations
  • Excellent listening skills, a polished interpersonal style, and strong emotional intelligence
  • BA/BS (or MA/MS) in a relevant field; MBA preferred
  • Be based and have a right to work in the United Kingdom and be situated within driving distance of a major airport to facilitate travel
  • Prior knowledge of enterprise sales methodologies (e.g., MEDDPICC) desirable

Benefits

  • Operate at the forefront of the workflow automation industry, and work with the largest industry players in an emerging field that is fueling growth and technological advancement globally
  • Have an outsized impact in a rapidly growing team, offering real autonomy and responsibility for client outcomes
  • Stretch yourself to help define and support something entirely new
  • Distributed team and culture, with fully flexible working hours and location
  • Collaborative, inclusive, and dynamic culture
  • Generous benefits and compensation plans
  • Join an established, and scaling data technology business

Demyst is committed to creating a diverse, rewarding career environment and is proud to be an equal-opportunity employer. We strongly encourage individuals from all walks of life to apply.

#J-18808-Ljbffr

Related Jobs

View all jobs

Director - Sales UK/Europe (Basé à London)

RVP Mid-Market Sales EMEA

Director, Business Development - UK (Basé à London)

Director of Strategic Pricing (SaaS products) (Basé à London)

Sales Director, Next Gen Streaming

Sales Director, Next Gen Streaming

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.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.