Business Development Director - Life Sciences

Posted:
7/23/2024, 8:51:52 AM

Location(s):
England, United Kingdom ⋅ London, England, United Kingdom

Experience Level(s):
Senior

Field(s):
Business & Strategy

Workplace Type:
Hybrid

About Faculty

Faculty transforms organisational performance through safe, impactful and human-led AI. 

We are Europe’s leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. 

We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. 

Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. 

Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. 

Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. 

AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely.

About the Role:

Faculty is growing our Life Science business unit to help clients navigate technological innovation within AI & Generative AI. We build and productionise AI technology at scale and advise our clients on AI & GenAI Strategy across a broad range of topics.

In this role you will have the support of a diverse set of Data Scientists, Machine Learning Engineers, Product Specialists and AI Delivery experts to formulate the optimal solutions for our clients challenges.

Our target customers include pharmaceutical companies, medical device companies and Health Tech companies, as well as the service companies that support this sector. The Sales team is responsible for growing this client base and driving new business into our pipeline.

  • Working closely with the Life Science Commercial Director to formulate Faculty’s go to market propositions, build the sales pipeline and develop our brand in this space

  • Be very comfortable working with prospective new clients at executive level in a consultative and advisory capacity to understand their priority needs and how Faculty’s areas of expertise map to these to drive meaningful AI/ML based solutions

  • Developing a deep familiarity with Faculty’s technology offerings and the ways in which they solve problems for our customers

  • Carrying out market mapping, competitor analysis and an assessment of Faculty differentiators

  • Developing and executing commercial strategies to deliver growth across multiple Life Science areas,

  • Building trusted relationships with prospects, developing new leads and partners, qualifying opportunities and navigate customers’ procurement processes

  • Serving as the key point of contact between Faculty and our customers, and representing the Faculty Sales team at industry events and conferences

  • Working collaboratively with the Marketing team to generate inbound interest and working with the other Sales team members to improve and streamline internal Sales processes

  • Exceeding stated sales quota by winning enterprise contracts

Who we are looking for:

  • Significant experience in business development, ideally from a high growth technology background

  • Experience of working in the Life Science sector, across different parts of the value chain

  • Experience developing and supporting the closure of opportunities with new accounts across the business development life cycle, from pipeline generation to close.

  • Familiarity with business development tools such as LinkedIn Sales Navigator and Hubspot.

  • Highly credible and versatile in dealing with senior stakeholders with exceptional written and verbal communication skills

  • Practical problem solver with strong analytical skills. You’ll have experience translating technical concepts to how they can help solve novel client problems.

  • An ability to quickly understand what needs to be done, and proactively identify and implement solutions.

  • You are detail oriented and can balance multiple projects simultaneously, collaborating with a diverse group of teams to get things done. You have experience managing deal processes.

  • Strong grasp of the key technological advancements in AI & Generative AI and how to apply them in a business setting. 


What we can offer you

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

You’ll have the opportunity to make your mark in a high-growth start-up now poised to expand internationally.


Inclusive workforce

At Faculty, we are creating a culture where people of all backgrounds feel comfortable.

We want everyone to feel included and truly empowered to contribute to our vision and goals.
Everyone who applies will receive fair consideration for employment.

We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.

Faculty

Website: https://faculty.ai/

Headquarter Location: London, England, United Kingdom

Employee Count: 251-500

Year Founded: 2014

IPO Status: Private

Last Funding Type: Non-equity Assistance

Industries: Artificial Intelligence (AI) ⋅ Consumer Electronics ⋅ Electronics ⋅ Information Technology ⋅ Machine Learning ⋅ Software