Business Development Manager, Management Consulting, Life Sciences

Carnall Farrar
London
1 month ago
Applications closed

Related Jobs

View all jobs

AI Data Scientist

Machine Learning Consultant

Account Executive

Junior Data Scientist

GQA Artificial Intelligence Certification Lead

IT Sales Executive

We are a fast-growing management consulting and data science company dedicated to innovation in healthcare. We work across the entire healthcare industry including health systems and Life Sciences companies, as well as working with health investors and their portfolio companies. We inspire clients to make change happen and improve health outcomes. We support our people to be courageous in doing the right thing. 

As Business Development Manager, you will play a pivotal leadership role within our Life Sciences team. You will be responsible for developing our business plan, business development strategy including raising awareness, key account management, managing our opportunity pipeline, and ensuring the high quality of proposals and bid processes. Your role will be crucial in liaising with our marketing function, collaborating with Partners, and coordinating support to maximise our business development efforts. This role requires a proactive leader who can horizon scan, build strong relationships with client procurement teams, and network with potential partners. It will require understanding the Life Sciences industry and staying attuned to market developments. This includes facilitating key business development activities for current and potential clients, identifying conferences and thought leadership opportunities, and ensuring our clients are aware of CF and what we have to offer.

This role offers an extraordinary opportunity for professional growth within a supportive development environment. You will gain invaluable experiences, unlocking your potential to reach new heights in your career journey.

Requirements

We are looking for passionate individuals with an in depth knowledge of the Life Sciences industry and experience within strategy or management consultancy to take ownership of the following responsibilities:

Strategic Business Planning and Management:

  • Work closely with the Managing Partner and Commercial Director in the development of our priorities and plan on an annual, quarterly and monthly basis.
  • Identify emerging Life Sciences trends and opportunities that align with our business goals.
  • Manage the end-to-end business development pipeline from discussion through to proposal development and contracting.
  • Ensure the capture and use of management information to track and measure the performance of business development activities.
  • Lead cross-functional teams to orchestrate business plans, connecting with the marketing function and collaborating with partners to leverage collective capabilities

Marketing and Thought Leadership:

  • Collaborate with the marketing team to create compelling content that highlights the company’s expertise in Life Sciences and healthcare innovation.
  • Lead the creation of white papers, case studies, and other thought leadership content
  • Monitor industry trends and insights to ensure the company remains at the forefront of innovation and thought leadership.
  • Partner with external stakeholders to develop co-branded marketing initiatives and joint thought leadership campaigns.

Proposal Development and Bid Management:

  • Provide leadership in proposition, proposal and pitch development to ensure documents are tailored to client needs and of the highest quality.
  • Ensure compliance with both client and internal requirements during the bid process, including around pricing, resourcing and procurement rules.
  • Lead problem-solving meetings and engage with relevant stakeholders to gather necessary information and insights for proposals.
  • Handle the necessary preparations to facilitate effective business development meetings.

Team Leadership and Development:

  • Lead and mentor junior team members to foster professional growth and ensure high performance.
  • Respond to ad hoc requests agilely and prioritise tasks effectively for the Life Sciences team
  • Delegate tasks effectively to ensure alignment with team capabilities and manage workloads.
  • Organise and lead key internal meetings, such as steering groups and pipeline reviews, by setting agendas and coordinating inputs from other team members.

Continuous Improvement:

  • Develop and maintain an effective repository of business development materials to streamline the bid process.
  • Identify tools and processes that improve our overall bid performance and efficiency.
  • Review and integrate lessons learned from bid submissions to enhance the end-to-end business development process.

Networking:

  • Network with potential partners to explore and develop collaborative projects.
  • Build and maintain relationships with client procurement teams to enhance business opportunities.
  • Identify and attend relevant conferences to build network and identify opportunities.

In order to be successful in this role, we are looking for candidates with a combination of the following skills and experiences:

  • In-depth knowledge of the Life Sciences industry and experience within strategy/management consulting.
  • Strong business development acumen, including identifying new opportunities and contributing to organisational growth.
  • Excellent written communication skills and experience developing proposals.
  • Ability to think strategically and develop comprehensive plans to address complex challenges for the Life Sciences industry.
  • Good project management skills, including multitasking, resource management, and delivering successful outcomes within tight timeframes.
  • Proficiency in data analysis, with the ability to interpret analysis for informed decision-making.
  • Exceptional leadership abilities, with the capacity to inspire and mentor team members for high-performance results.
  • Excellent communication and interpersonal skills to establish and nurture client relationships.
  • Commitment to continuous learning and staying updated with industry trends and best practices.
  • Educated to a degree level (or equivalent experience).

Benefits

  • Holiday entitlement: 25 days/year for staff and 30 days/ year for leadership, increasing by 1 day for every year of service up to a maximum of 35 days of holiday per year
  • We contribute 7% of your salary into your pension, while you contribute 3% (or more if you like)
  • Access to a flexible benefits programme giving you the chance to increase pension contributions, gain access to a cash plan or benefit from a ClassPass subscription
  • Annual leave purchase: employees with less than 35 days annual leave entitlement are able to purchase additional annual leave days
  • Income protection: in the event of long-term incapacity and a qualifying claim, 75% of salary will be paid
  • Enhanced sick pay benefit beyond Statutory Sick Pay for up to a total 12 weeks in any 12-month period
  • Life insurance covering four times your basic salary in a tax-free lump sum payable to your beneficiaries in the event of your death whilst in service
  • Enhanced family leave policies: additional pay for parents who have a baby or adopt
  • Access to an interest free loan of up to £10,000
  • Access to an interest-free season ticket loan, repayable by 12 monthly instalments
  •  Workplace nursery scheme: access to a scheme to help working parents save tax and NI on the cost of the nursery care
  •  Flexible working policy: including the ability to work fully remotely for up to 4 weeks a year
  •  An employee assistance and wellness Program: including access to telephone counselling, life coaching, interactive tools online and digital content downloadable from Lifeworks
  •  Seasonal flu jabs: provided by Boots annually
  •  Eye care tests: vouchers and discounts at Vision Express
  •  Ride to work scheme, saving up to 42% on bikes and cycling accessories at Evans Cycles
  • Membership to the Health Service Journal (HSJ)

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.