Harvey Terry

Director, CI Data Science & AI

Barcelona, Catalonia, Spain

About

➤ Lead Data Science and AI initiatives in Competitive Intelligence, translating complex biopharma data into actionable insights that drive enterprise strategy. ➤ Built and scaled enterprise AI platforms, including generative AI solutions and knowledge management systems, delivering millions in annual cost savings and productivity gains. ➤ Partner with cross-functional business and strategy teams to prioritise high-value problems and implement data-driven solutions across commercial and research functions. ➤ Drive adoption of advanced analytics, knowledge graphs, and AI technologies, fostering innovation, operational efficiency, and real-time decision-making. ➤ Recognised for leadership and impact through internal awards, mentorship opportunities, and IT Excellence initiatives that transform workflows and enhance enterprise capabilities.

Experience

  • AstraZeneca ()
    • Director, Competitive Intelligence Data Science & AI
      Jan 2026 - Present · 7 mos

      ➤ Lead Data Science and AI initiatives for AstraZeneca’s Competitive Intelligence function, building platforms, algorithms, and data assets that generate actionable insights. ➤ Partner with strategy and business teams to translate complex data into informed, data-driven decisions across Biopharma innovation. ➤ Drive advanced analytics and AI adoption, overseeing teams and emerging technologies to scale capabilities and maximise strategic impact.

    • Business Analyst, Data & AI
      Sep 2022 - Dec 2025 · 3 yrs 4 mos

      ➤ Led the delivery of AstraZeneca’s first Generative AI POC using Open AI’s GPT-3.5, later scaling to an enterprise chatbot serving >7.5k questions on competitive intelligence to the enterprise. ➤ Led the development of a generative AI powered primary market research platform, saving $500k per year versus previous solution, and enabling $18 million annual savings on primary market research spend across the company by centralising >20k documents from >100 vendors. ➤ Identified as Star Learner in internal Leading Self leadership course, and approached to coach the next cohort. ➤ Led team to internalise app, recognised as IT Excellence Awards finalist, delivering $130k per year savings, 1440 hours savings in delivery, amongst other improvements. ➤ Led team to digitise strategic oncology, visualisations saving over 1000 hours of analyst time per year, and enabling real time data driven updates and 24 hour accessibility. ➤ Supported OBU initiatives totalling $3m per year delivering multiple SET presentations, with CIO recognition as the ED&AI year highlight. ➤ Led project to deliver a new data pipeline target architecture, improving data quality and scalability, reducing running time from over 7 hours to 1h30m total, alongside a new knowledge graph importer, collaborating with neo4j, to halve time to run, half energy usage and third running costs. ➤ Acted as IT Change Champion, representing Data and AI capability team and influencing Commercial IT operating model.

    • Data Product Consultant (via Kubrick Group)
      May 2020 - Sep 2022 · 2 yrs 5 mos

      ➤ Spearheaded business analysis and requirements engineering, leading to a new Competitive Intelligence platform at AstraZeneca, with a senior executive describing outputs as 'remarkable' and the project winning a CEO Award. ➤ Acted as Scrum Master and proxy Product Owner, leading app development, achieving >4k subscribers at launch. ➤ Received "Exceeding Expectations" rating across all skills in mid-placement review. ➤ Led Agile meetings, including sprint planning, daily scrums, backlog refinement, planning poker, sprint retrospectives, and RAID sessions. ➤ Acquired extensive knowledge of the pharmaceutical and healthcare industries through hands-on experience.

  • Data Product Consultant at Kubrick Group
    Feb 2020 - May 2020 · 4 mos

    ➤ Trained in Business Analysis, Agile Methodologies, Software Development, Data Engineering, Business Intelligence, Presentation Skills & Stakeholder Management. ➤ Took part in internal system migration project to improve processes.