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Director of AI Transformation, Data Sciences

Job in Nottingham, Nottinghamshire, NG1, England, UK
Listing for: Quotient Sciences
Full Time position
Listed on 2026-05-11
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

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.

The Role

The Director, AI Transformation plays a pivotal role in shaping and embedding AI‑enabled solutions across Data Sciences to drive meaningful improvements in efficiency, quality and scalability, while closely aligning with Quotient’s strategic ambitions. Working at the intersection of science, technology and strategy, this role partners closely with engineering, analytics and Data Sciences leaders to turn business priorities into clear AI product roadmaps, accelerate adoption of AI and advanced analytics, and ensure solutions are delivered responsibly, compliantly and with impact.

Main

Tasks And Responsibilities
  • Assess the current state of Data Sciences capabilities, identifying opportunities and gaps where AI can deliver the greatest value.
  • Define and deliver a clear AI product strategy and roadmap for Data Sciences, aligned to organisational goals, scientific needs and market expectations.
  • Prioritise AI initiatives across statistics, PK, data management, medical writing and programming, balancing impact, effort and risk.
  • Translate user and business needs into clear, actionable product requirements, with defined success measures for each feature or product.
  • Be accountable for ensuring AI solutions are appropriate for regulated scientific environments and are interpretable, trusted and credible in the market.
  • Lead the full lifecycle of AI products, from ideation and concept through development, launch and continuous optimisation.
  • Partner with engineering, analytics and Data Science teams to convert strategy into practical, high‑value AI solutions.
  • Maintain momentum by resolving blockers, making informed trade‑offs and keeping delivery on track.
  • Drive adoption, change management and long‑term value realisation of AI and advanced analytics across Data Sciences.
  • Support the development of AI literacy and confidence across Data Sciences teams.
  • Embed strong data governance, ethical AI principles and compliance into all stages of product development and deployment.
  • Track product performance, user adoption and business outcomes, using insights to shape ongoing decisions and roadmap evolution.
  • Communicate complex technical concepts and product value in clear, practical terms for a broad range of stakeholders.
  • Mentor and coach team members, promoting collaboration, innovation and high performance.
  • Stay current with emerging developments in Data Sciences, AI, analytics and product management, proactively exploring new approaches to deliver future‑focused, value‑led innovation.
  • Build strong relationships with both technical and non‑technical colleagues, simplifying complex ideas where needed.
  • Develop a strong understanding of Quotient’s data capture processes and reporting systems, contributing insight to support the evolving AI roadmap.
Qualifications And Experience Required For Competent Performance
  • A background in Biometrics or Data Sciences.
  • Experience working within regulated scientific environments.
  • Proven experience driving change and delivering measurable results.
  • Demonstrable product management experience, ideally within AI, data science or analytics‑led environments.
  • A strong track record of delivering complex digital or AI solutions from concept…
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