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Director Global Patient Solutions Strategy & Value

Job in Gaithersburg, Montgomery County, Maryland, 20877, USA
Listing for: AstraZeneca
Full Time position
Listed on 2026-08-31
Job specializations:
  • Business
    AI Business & Operations
Job Description & How to Apply Below

Enterprise Ai Engine Connector

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.

Within Global Patient Solutions, you will translate deep patient insight, behavioral science, digital health, and AI-enabled technologies into evidence-based patient solutions that improve the patient's experience and deliver measurable impact across Oncology and Biopharmaceutical indications.

As part of AstraZeneca's connected Enterprise AI ecosystem, you will help evolve and scale our global patient engagement strategy, including complex patient solutions and Connect
360, by integrating real-world data, patient-reported outcomes, behavioral signals, digital patient monitoring insights, and longitudinal engagement patterns to design timely, personalized and clinically relevant interventions at scale.

This role will play a critical part in defining where we focus, how we design and prioritize patient solutions interventions, how we measure success through clear KPIs, and how we demonstrate value for patients, markets and the enterprise.

Ultimately, you will help build a global, multi-indication, continuous-learning patient engagement engine that elevates patient experience, improves confidence and resilience, supports adherence and persistence, and sets a new benchmark for compassionate, data-driven patient care worldwide.

What you will do:

  • Build and manage the Global Patient Solutions value case roadmap, with clear prioritization of high-impact patient solution opportunities.
  • Design evidence-based patient interventions that leverage behavioral science, patient insights, digital engagement and AI-enabled personalization.
  • Develop patient experience value cases that define expected patient impact, market value, KPIs and measurement approaches.
  • Shape the future of AI-enabled patient engagement, digital patient monitoring and sustainable patient-support models.
  • Translate behavioral data, patient-reported outcomes, real-world evidence, monitoring signals and engagement insights into actionable strategic recommendations.
  • Ensure patient solutions generate measurable impact and create a consistent approach to tracking, proving and communicating value.
  • Establish how innovation becomes a scalable, repeatable enterprise capability rather than isolated pilots.

Key Responsibilities

1. Global Strategy & Value

Develop global patient experience and value frameworks that quantify the impact of patient support interventions on patients, healthcare systems and business outcomes.

Establish prioritization frameworks that guide investment decisions and focus resources on the highest-value patient challenges.

Identify emerging trends, unmet needs and innovation opportunities that can strengthen patient support ecosystems.

2. Patient Experience Innovation, Intervention Design & AI-Enabled Solutions

Translate patient insights, behavioral data, patient-reported outcomes, monitoring signals and real-world evidence into targeted patient support strategies.

Design interventions that improve education, confidence, treatment initiation, adherence, persistence, symptom management, care navigation and patient empowerment.

Develop robust value cases linking patient needs, intervention designs, expected outcomes, KPIs and evidence generation plans.

Identify where AI, digital health and patient monitoring capabilities can enhance patient engagement, personalization and support effectiveness.

Shape AI-powered patient engagement models, next-best-action capabilities and predictive patient…

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