This Partnership Director role sits at the intersection of external innovation, digital health, data strategy, and AI ecosystem engagement. The role involves translating strategic priorities and real-world evidence (RWE) requests into suitable partnership options, providing internal teams with a clear view of the external partner landscape, data assets, capability maturity, and transaction routes. It suits a senior operator in biotech and medtech ecosystems with strong competence in multimodal AI and data-driven healthcare.
Responsibilities
Own the partnership lifecycle from partner scouting, triage, and internal alignment through transaction support, implementation, performance governance, renewal, and potential expansion
Manage RWE and data partnerships, working with internal stakeholders to understand evidence needs, evaluate internal data assets, identify gaps, propose external partners, and assess third-party datasets for fitness-for-purpose
Cover AI and digital health, including evaluating digital health, multimodal AI, and data-enabled capabilities across biotech, health tech, and platform ecosystems, focusing on scalable, compliant, and clinically significant use cases
Engage with the external ecosystem, developing relationships across start-ups, scale-ups, academic institutions, accelerators, investors, government bodies, and innovation agencies to source opportunities and build reputational equity
Act as a trusted adviser to therapeutic area, medical, commercial, market access, legal, procurement, data, privacy, and compliance stakeholders
Originate and qualify strategic partnerships by identifying external partners across digital health, data, AI, RWE, and biotech ecosystems that align with strategic priorities and unmet business needs
Build and maintain a dynamic view of the external landscape, including emerging companies, platforms, data providers, academic groups, innovation hubs, government initiatives, and investor-backed capabilities
Develop clear partner hypotheses, opportunity briefs, and decision narratives to help internal stakeholders understand strategic value, maturity, risks, and potential routes to engagement
Lead cross-functional discussions from early exploration through decision-making, ensuring engagement with relevant internal stakeholders across various departments
Translate complex external opportunities into concise recommendations, including options, trade-offs, risks, dependencies, decision criteria, and proposed next steps
Create structured evaluation processes for evidence-based, timely partnership decisions aligned with enterprise priorities
Work with business owners, procurement, legal, compliance, and finance to support due diligence, contracting, operating model design, governance set-up, and mobilisation of selected partnerships
Help define partnership objectives, success metrics, decision rights, resourcing requirements, implementation milestones, and escalation routes
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Ensure disciplined handover from opportunity evaluation to delivery, with clear ownership, implementation plans, and partner accountability
Own or support ongoing relationship management of strategic partners, ensuring regular governance, issue resolution, performance tracking, and benefit realisation
Lead renewal planning and reviews, including assessment of partner performance, strategic relevance, value delivered, contract terms, and potential expansion opportunities
Identify opportunities to scale successful partnerships across markets, therapeutic areas, or business units where there is a clear strategic and operational fit
Work with internal stakeholders to clarify decision needs, target population, required variables, geographic scope, methodological constraints, and intended use of evidence when RWE or evidence generation requests arise
Propose externally available partners and data sources, evaluating their fitness-for-purpose
Partner with RWE, data science, medical, and compliance teams to ensure proposed data partnerships are scientifically robust, ethically governed, and commercially relevant
Contribute to internal capability building on digital health, RWE partnerships, data sourcing, multimodal AI, external innovation, and partnership governance
Provide perspectives on the competitive, regulatory, and technology landscape, including how multimodal AI and emerging data modalities may reshape evidence generation and care pathways
Mentor colleagues and help embed partnering practices, templates, and governance approaches across the AI healthcare ecosystem
Requirements
Bachelor's degree or equivalent experience
5+ years of proven experience in digital health, life sciences, biotech, health tech, data partnerships, business development, innovation, or RWE
Proven track record in identifying, assessing, transacting, and leading external partnerships in complex healthcare or life sciences environments
Experience supporting business development, procurement, legal, or contracting processes, including due diligence, governance design, negotiation support, and renewal management
Good understanding of RWE, external data assets, and data partner evaluation, including fit-for-purpose data assessment, data quality, representativeness, linkage, privacy, and governance considerations
Good competence in multimodal AI and AI-enabled healthcare applications, including the ability to assess opportunities involving structured clinical data, imaging, text, omics, digital biomarkers, sensors, or platform-based evidence generation
Experienced operator in biotech, health tech, and digital health ecosystems, with credible networks across start-ups, scale-ups, academia, accelerators, venture/investor communities, and innovation agencies
Ability to influence senior stakeholders across multiple functions, cultures, and geographies in a large, matrixed organisation
Highly developed communication skills, with the ability to express complex technical, commercial, and scientific ideas clearly and persuasively for different audiences
Entrepreneurial, outcomes-focused, and comfortable operating with ambiguity while maintaining high standards of integrity, governance, and compliance
Nice to have:
Advanced scientific, healthcare, business, or data-related qualification
Experience with value-based partnerships, care pathway optimisation, digital therapeutics, diagnostics, remote monitoring, clinical workflow tools, or data-enabled patient support models
Exposure to venture investment, corporate innovation, accelerator programmes, ecosystem strategy, or start-up advisory activity
Familiarity with Design Thinking, Lean start-up, agile delivery, and digital product management in healthcare or life sciences
Understanding of regulatory, privacy, data ethics, procurement, and compliance considerations relevant to digital health, AI, and RWE partnerships
Knowledge of government pathways and engagement routes, including how public sector relationships, trade bodies, innovation programmes, and policy environments can support partnership access and reputational equity
Important Details
Schedule: minimum of three days per week from the office
Application deadline: 22-oct-2026
About the Company
We are building a connected, end-to-end Enterprise AI engine, uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain.
