Pricing Director

London
3 weeks ago
Create job alert

Newly Created Opportunity

  • Hybrid working on offer

    About Our Client

    Informa is a leading academic publishing, business intelligence, knowledge, and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.

    Taylor & Francis Group publishes high quality, peer reviewed books and journals. We produce unique, trusted content by expert authors, spreading knowledge and promoting discovery globally. We aim to broaden thinking and advance understanding, providing academics and professionals with a platform to share ideas and realize their individual potential.

    Our purpose is to foster human progress through knowledge. We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that's the only way to find the best obtainable version of the truth and, ultimately, foster human progress.

    Job Description

    Educating stakeholders on pricing optimisation, the Pricing Director will embed into routine activity the importance of a dynamic pricing structure, working to change mindsets and capitalise on customer touchpoints for better pricing across T&F. By leveraging data analytics, market insights, and customer behaviour, the Pricing Director will ensure pricing strategies are dynamic, adaptive, and aligned with Taylor & Francis's strategic objectives.

  • Develop and execute comprehensive pricing strategies for new and existing products ensuring alignment with business goals and market trends.

  • Leverage analytics and data to read market conditions, competitor pricing, and customer demand to identify opportunities for price optimization.

  • Implement dynamic pricing models tailored to content, format, regional factors, and customer segments.

  • Driving the growth and success of the business through the optimisation of advanced pricing analytics, data science, and modelling, as well as a deep understanding of novel pricing and packaging methodologies.

  • Engage with the Editorial, Commercial, and Marketing teams to align pricing strategies with overall product positioning.

  • Establish discounting, promotional, and bundling strategies to optimize revenue growth and enhance value perception.

  • Lead the integration of pricing strategies into customer relationship management (CRM) systems, e-commerce platforms, and sales tools.

  • Ensure a robust strategy for discount management that any promotions are not counter to revenue generation or product perception of value.

  • Utilize and plan for data gathering that enables in-depth pricing analysis using data-driven approaches to forecast sales volumes, revenues, and profitability

  • Bring to life for stakeholders the modelling of pricing scenarios and evaluate the potential financial impact of different pricing approaches. Advice on the best route forward based on the modelling input

  • Monitor product lifecycle stages, adjusting prices to maintain competitiveness and profitability

  • Provide recommendations on bundling, subscription models, and discount strategies to drive revenue and engagement.

    The Successful Applicant

  • Demonstrate a high level of credibility with a proven track record in supporting organisations and influencing stakeholders through pricing decisions and market analysis.

  • Possess experience in developing, managing, and implementing analytical tools that can rapidly assess diverse markets across multiple dimensions.

  • Excellent communication skills with the ability to present and drive change with stakeholders at all levels of the business.

  • Experience in operating and influencing at a senior level within a global, matrixed multinational organisation.

  • Strong experience with customer groups and an understanding of customer requirements, ideally in the media or publishing space.

  • Demonstrated commercial acumen, able to tap into business strategy when decision making with a revenue and margin focused mindset.

  • Numerate with an ability to interpret and understand project plans, budgets, and financial targets;

  • Publishing Industry knowledge would be an advantage

    What's on Offer

    Competitive Package

    Contact
    Luisa Diamant
    Quote job ref
    JN-(phone number removed)Z

    Where specific UK qualifications are required we will take into account overseas equivalents. All third party applications will be forwarded to Michael Page

Related Jobs

View all jobs

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

Executive Director, Market Risk Services (Basé à London)

Sales Director, Next Gen Streaming

Sales Director, Next Gen Streaming

Contracts and Pricing Manager

Brand Insights Director (Basé à London)

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.

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.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.