Us
Enterprise AI
PartnershipDirector
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“Partnership Director at Us. Skills: Enterprise AI, partnership lifecycle responsibilities, RWE and data partnerships, AI and digital health, external ecosystem engagement, internal business partnering. Originate and qualify strategic partnerships. Drive internal alignment and decision support”
What You'll Achieve.
Accelerate results across the whole value chain.; Scaling impact rather than building in isolation.; Measure of success is adoption and scale, not just innovation.; Support better decisions, better evidence generation and improved patient and healthcare system outcomes.; Ensure 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.; See opportunities to scale successful partnerships across markets, therapeutic areas or business units where there is a clear strategic and operational fit.
Industry & Context.
Turn complex, cross-functional problems into reusable, enterprise-wide capabilities.; Translate complex external opportunities into concise recommendations, including options, trade-offs, risks, dependencies, decision criteria and proposed next steps.; Create structured evaluation processes so partnership decisions are evidence-based, timely and aligned to enterprise priorities rather than driven by ad hoc opportunity flow.
What They're Looking For.
Must Have
5+ years of proven experience in digital health, life sciences, biotech, health tech, data partnerships, business development, innovation, 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
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.
What You'll Do.
Originate and qualify strategic partnerships
Drive internal alignment and decision support
Support execution and mobilisation
Manage partnerships through performance
renewal and expansion
Drive RWE and external data partner evaluation
Build capability and thought leadership
How You'll Work.
Team & Collaboration
Actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation.; Thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities.; Lead cross-functional discussions from early exploration through decision making, ensuring the right internal stakeholders are engaged across commercial, medical, therapeutic areas, market access, RWE, data science, privacy, legal, procurement, compliance and finance.; 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.; Partner with RWE, data science, medical and compliance teams to ensure proposed data partnerships are scientifically robust, ethically governed and commercially relevant.; Mentor colleagues and help embed partnering practices, templates and governance approaches across the AI healthcare ecosystem.
Communication Scope
Highly developed communication skills, with the ability to express complex technical, commercial and scientific ideas clearly and persuasively for different audiences.
Process & Methodology
partnership lifecycle responsibilities with end-to-end ownership from partner scouting, triage and internal alignment through transaction support, implementation, performance governance, renewal and potential expansion., Define partnership objectives, success metrics, decision rights, resourcing requirements, implementation milestones and escalation routes., Ensure that handover from opportunity evaluation to delivery is disciplined, with clear ownership, implementation plans and partner accountability from day one.
Full Job Description
We're 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. **Success depends on being exceptional connectors** : you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. **Introduction to Role ** This role sits at the intersection of external innovation, digital health, data strategy and AI ecosystem engagement. The Partnership Director will help translate strategic priorities and RWE requests into fit-for-purpose partnership options, ensuring that internal teams have a clear view of the available external partner landscape, data assets, capability maturity and transaction routes. You will be a senior operator in biotech & medtech ecosystems, with the judgement to distinguish signal from noise, the stakeholder range to align senior internal decision makers, and move from exploration to transaction and long-term partnership success. They will bring strong competence in multimodal AI and data driven healthcare, including an ability to assess how emerging AI capabilities, real-world datasets, platforms and partner operating models can support better decisions, better evidence generation and improved patient and healthcare system outcomes. **Role Scope ** * The role scope includes partnership lifecycle responsibilities with end-to-end ownership from partner scouting, triage and internal alignment through transaction support, implementation, performance governance, renewal and potential expansion.
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