AI Product Manager

Quotient Sciences Limited; Nottingham; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading drug development company in Nottingham is seeking an AI Product Manager to drive AI product strategies aligned with organizational goals. You will define and deliver AI solutions, lead cross-functional teams, and ensure responsible AI practices. The ideal candidate has extensive experience in product management, particularly in AI and analytics, and excels in stakeholder communication. This role presents an opportunity to make a significant impact in a culture focused on innovation and agility, fostering a collaborative work environment.

Qualifications

• Demonstrable experience in product management, ideally with AI, data science, or analytics products.
• Strong understanding of AI/ML concepts and data engineering.
• Excellent communication and stakeholder management skills.

Responsibilities

• Define and deliver the AI product strategy and roadmap.
• Lead the lifecycle of AI products from ideation to optimisation.
• Drive adoption of AI and advanced analytics through training.

Skills

Product management experience

AI/ML understanding

Stakeholder management

Agile principles

Problem-solving abilities

Tools

Jira

Job description

Quotient Sciences: Molecule to Cure. Fast.

Quotient Sciences is a leading drug development and manufacturing accelerator, helping biotech and pharma companies bring new medicines to patients faster. With over 35 years of experience and a track record of success, we provide Drug Product (CDMO) and Clinical (CRO) services across the entire development pathway, including formulation development, clinical pharmacology, clinical trials, and commercial product manufacturing.

Our proprietary and disruptive platform – “Translational Pharmaceutics®” – integrates Drug Product Manufacturing and Clinical Testing to eliminate silos in the drug development process. This in turn reduces costs, improves outcomes, and significantly accelerates drug development times.

Why join us:

Because every day counts when bringing new medicines to patients. Our 1,000+ experts across the US, UK, and beyond are united by science, agility, and a culture that turns ideas into impact—fast.

About the role

Quotient Sciences is a drug development accelerator, helping to shorten timelines and bring new treatments to patients faster through our Translational Pharmaceutics® platform.

As an AI Product Manager, you will define, develop, and deliver AI‑powered products and solutions that align with our strategic goals. Recognised internally as a subject matter expert, you will lead the lifecycle of AI products that impact the entire organisation. Working closely with engineering, analytics, and business stakeholders, you will translate strategy into actionable roadmaps, drive adoption of AI and advanced analytics, and ensure responsible AI practices and compliance.

Main responsibilities

• Define and deliver the AI product strategy and roadmap, aligned with organisational goals and market needs.
• Prioritise AI product development based on impact, effort, and risk.
• Identify opportunities where AI can deliver measurable value across Quotient’s CDMO environment.
• Translate user needs into clear product requirements and define success metrics.
• Lead the end‑to‑end lifecycle of AI products from ideation to optimisation.
• Own reference AI architecture and maintain target architecture diagrams for each product.
• Partner with engineering, analytics, and business teams to deliver actionable product features.
• Keep delivery on track by resolving issues and making timely trade‑off decisions.
• Drive adoption of AI and advanced analytics through training, documentation, and change management.
• Champion responsible AI practices, ensuring compliance and ethical use of AI.
• Monitor product performance and use data‑driven insights to inform decisions.
• Communicate complex technical concepts in clear, actionable terms to stakeholders.
• Mentor and coach team members, fostering a collaborative, high‑performance culture.
• Stay updated on advancements in AI, data analytics, and product management.

Skills required

• Demonstrable experience in product management, ideally with AI, data science, or analytics products.
• Proven track record of delivering complex digital or AI products from concept to launch.
• Strong understanding of AI/ML concepts, data engineering, and analytics platforms.
• Experience leading cross‑functional teams and collaborating with technical and business stakeholders.
• Familiarity with responsible AI practices, data governance, and compliance frameworks.
• Excellent communication, stakeholder management, and technical mentoring skills.
• Applied knowledge of Agile principles (Kanban, Scrum) and roadmap delivery using tools like Jira.
• Analytical, methodical, and strategic thinker with strong problem‑solving skills.
• Ability to influence product vision and adapt communication style to diverse audiences.
• Background in life sciences, biotech, or manufacturing; awareness of CDMO processes desirable.
• Experience with GxP, validation, or regulated software environments beneficial.

Application Requirements

When applying for a position with Quotient Sciences to be able to work in our organization you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined.

Our Commitment to Diversity, Equity and Inclusion

Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today.

Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.

This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.