Partnership Director

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 .

- RWE and data partnerships, working with internal stakeholders to understand evidence needs, evaluate internal data assets,   identify   gaps, propose external   partners   and assess whether third-party datasets are fit-for-purpose .

- Covering AI and digital health, including evaluating digital health, multimodal AI and data-enabled capabilities across biotech, health   tech   and platform ecosystems, with a focus on scalable,   compliant   and clinically significant use cases .

- The role scope also involves external ecosystem engagement, developing relationships across start-ups, scale ups, academic institutions, accelerators, investors, government   bodies   and innovation agencies to source opportunities and build reputational equity .

- In addition, the role scope includes internal business partnering, acting as a trusted adviser to therapeutic area, medical, commercial, market access, legal, procurement, data,   privacy   and compliance stakeholders .

Key Accountabilities

1.Originate and qualify strategic partnerships

Identify   external partners across digital health, data, AI, RWE, biotech ecosystems that align to 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 that help internal stakeholders understand the strategic value, maturity,   risks   and potential routes to engagement .

2. Drive internal alignment and decision support

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 .

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 .

3. Support execution and mobilisation

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 .

Ensure that handover from opportunity evaluation to delivery is disciplined, with clear ownership, implementation   plans   and partner accountability from day one .

4. Manage partnerships through performance,   renewal   and expansion

Own or support the 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 .

See opportunities to scale successful partnerships across markets, therapeutic   areas   or business units where there is a clear strategic and operational fit .

5. Drive RWE and external data partner evaluation

When RWE or evidence generation requests arise, work with internal stakeholders to clarify the decision need, target population,   required   variables, geographic scope, methodological constraints and intended use of the evidence .

Propose externally available partners and data sources, evaluating whether they are fit-for-purpose .

Partner with RWE, data science, medical and compliance teams to ensure proposed data partnerships are scientifically robust, ethically   governed   and commercially relevant .

6. Build capability and thought leadership

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 .

Essential Skills and Experience

- Bachelor's degree or equivalent experience; advanced scientific, healthcare, business or data-related qualification preferred .

- 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 .

Preferred Skills and Experience

- 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 .

Leadership Behaviours

- You are personable & a compassionate leader

- You are someone who listens to understand rather than listens to respond

- Acts as a strategic connector linking innovation from external sources with internal business need .

- Balances entrepreneurial pace with enterprise rigor,   governance   and risk management .

- Builds trust quickly with senior leaders, technical   experts   and external partners .

Office Working Requirements

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge   perceptions .   That’s   why we work, on average, a minimum of   three days per week   from the office. But that   doesn’t   mean   we’re   not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world .

The annual base pay (or hourly rate of compensation) for this position ranges from $ 164.521,60 - $ 246.782,40 USD Annual, either as annual base pay or as the hourly rate (annual base pay divided by 2080 hours)]. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to   participate   in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage   in accordance with   the terms and conditions of the applicable plans.   Additional   details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Ready to make a difference? Apply now !

#EAI

Date Posted
13-may-2026

Closing Date
22-may-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.