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

Apply Now

Head of Growth Marketing

Maidenhead
7 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Analytics & Insights

Head of Data Analytics & Insights

Senior Business Intelligence Analyst (6 month fixed term)

Head Of Data Science

Director, Head of Data Architecture, UK Deloitte Data Office

Director, Head of Data Architecture, UK Deloitte Data Office

Our client, a leading player in the Tech sector for the UK is seeking a Head of Growth Marketing.
In this role, you will have the opportunity to make a material difference to the success of the business. You will bring strong industry knowledge and creative flare to shape and influence impactful solutions and strategy for the organisation.
Your primary purpose is to develop and execute comprehensive growth marketing strategies focused on increasing client acquisition, client base expansion, contribution to revenue, EBITDA and market share performance. You will lead a dynamic marketing team, collaborating cross-functionally and utilising external networks to gather insight and drive data-driven campaigns across various channels, increasing demand and demonstrating the ROI.
Key Responsibilities:
Growth Strategy

  • Lead the development and implementation of cross functional growth marketing strategies, driving business growth and revenue, through cross functional collaboration with executive and senior leaders, ensure alignment to and the achievement of commercial objectives
  • Oversee the creation of performance marketing campaigns driving net new client acquisition and client expansion, using ABM, SEO/SEM, paid advertising, content and social media marketing
  • Lead the development of a Brand strategy for the business to craft a unique position for business that is compelling and distinctive within the sector. Oversee the creation of a core creative strategy that supports the brand and maintains brand integrity across channels
  • Deliver incremental improvements in brand preference and salience
  • Oversee increased collaboration between marketing and business groups; strategize with operational leadership to enhance alignment between teams, regions, and business functions
    Go To Market (GTM) Strategy
  • Analyse market research and your external network to identify emerging trends, competitive analysis, and growth opportunities. Collaborate with product and sales teams to ensure market fit and client-centric products
  • Lead the creation of our GTM strategy in conjunction with Sales, Product, Operations and Finance team members
  • Lead product positioning, launch strategies, and market entry planning in conjunction with product, sales and commercial teams
  • Define and manage the product lifecycle marketing roadmap
    Marketing Performance Impact Lead
  • Oversee the creation of performance metrics based on marketing data analytics to drive decision making, multi-channel performance, media optimisation and reporting
  • Establish A/B and incremental testing to optimise new channels and grow existing ones
  • Lead the communication of marketing activity, insights and success across the business.
  • Oversee the management, planning and reporting of resources
    Team Leadership
  • Lead a small team, fostering a culture of creativity, innovation, driving high performance and continuous improvement
  • Advocate for client-centric thinking within marketing and across wider business stakeholders
  • Coach and support your team through regular 1:1s, reviews and development initiatives
    The ideal candidate:
  • Bachelor’s degree in marketing, or qualified by substantial experience within the field
  • Substantial experience in the marketing profession, within the technology sector, with proven experience leading successful demand impacting campaigns
  • Demonstrable Marketing Leadership and people management experience
  • Proven track record in developing and implementing successful marketing strategies
  • Proficiency in marketing analytics tools (e.g., Google Analytics, HubSpot)
  • Strong influencing and relationship building skills

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.