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

Apply Now

New Business Sales Lead – Transportation - Data Engineering / Data Architecture Solutions Business

Oliver Sanderson Group PLC
Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Head of Data Analytics & Insights

Head of Data Analytics & Insights

Data Scientist / Software Engineer

Data Architect

Data Science and AI Engineering Manager

Do you have a hunter mindset when it comes to new business sales?

Are you experienced in selling complex technology solutions into the transportation sector?

Do you thrive in a high-growth, collaborative and culture-first environment?


Oliver Sanderson is engaged with a Technology company in search of a New Business Sales Executive to sell their Enterprise Data SaaS solutions into the Transportation sector.


This is a pivotal new business sales role focused on driving the organisation’s expansion, into the transportation sector. You’ll be responsible for originating, developing and closing high-value, complex opportunities.


Key responsibilities:


  • Leading the full sales lifecycle: identifying leads, cultivating relationships, managing bid responses and securing contracts.
  • Creating and presenting compelling business cases and technical propositions.
  • Working closely with internal stakeholders and strategic partners to create tailored solutions and winning proposals.
  • Engaging C-level executives and key decision-makers across the transportation sector.
  • Delivering against ambitious new business growth targets.
  • Supporting transition from sales to delivery, ensuring customer outcomes are achieved.
  • Representing the organisation at industry events and through thought leadership content.


The ideal candidate will have:


  • Experience selling into the transportation sector, with a strong grasp of the market landscape, competition and buyer trends.
  • Proven track record in securing multi-tower, complex IT deals (e.g. Cloud, Digital, Data Platforms, AI/ML) in the transportation sector.
  • Strong experience in tender-based sales processes, including RFIs, ITTs and pre-qualification questionnaires.
  • Exceptional communication, persuasion and negotiation skills.
  • A solutions-oriented mindset and deep understanding of technology-enabled business change.
  • Familiarity with data-led propositions, including data acquisition, data sharing, and machine learning.
  • Confidence working with senior stakeholders and internal cross-functional teams.


This is an exciting opportunity for you to work in a fast-growing technology company. This could be the chance to springboard your career.


This is a remote role with national travel required for client site visits etc.


This role has an exciting package on offer.


If this opportunity resonates with your career aspirations and you have the skillset required, apply today!


Oliver Sanderson is an award-winning executive search firm recognised for path-breaking contributions to ED&I and digital recruitment innovation by the House of Lords, Global Recruiter, APSCo, the Recruiter Awards, and in the 2022 Platinum Jubilee Album for a "transformational contribution" to UK business. We specialise in finding talent at board and senior leadership level for FTSE 100, FTSE 350, Fortune 500, and PE-backed businesses.

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.