IT Business Analyst – Global Marketing & Market Access

Are you ready to turn complex commercial and market access priorities into AI-enabled solutions that speed patient access to life-changing medicines In this role you will be the connective tissue between global marketing market access and technologytranslating strategy into data-driven capabilities that help teams make confident timely decisions.

You will lead discovery and design for high-impact use cases like automated dossier builds negotiation tools SLR local adaptation and global value dossier writingbringing clarity to ambition and pace to delivery. How would you design scalable standards so that AI can be trusted in high-stakes pricing analytics and evidence generation Join us to shape capabilities that directly influence how quickly therapies reach people who need them most including those living with rare diseases.

Accountabilities:
- Strategic Translation: Convert commercial and market access strategies into actionable IT requirements and roadmaps aligned with enterprise data and analytics priorities ensuring clear traceability to business outcomes.
- AI Use Case Discovery: Facilitate workshops discovery sessions and process mapping for AI-enabled capabilities (e.g. dossier builds negotiation tools SLR local adaptation GVD writing) to prioritize value and feasibility.
- Cross-Functional Partnership: Partner with RDU and AstraZeneca IT teams to co-create solutions that accelerate launch readiness pricing decisions and access negotiations across markets.
- Requirements Leadership: Lead end-to-end requirements analysisuser stories acceptance criteria functional designs and workflow definitionsand validate with cross-functional SMEs.
- Data and AI Standards: Ensure alignment with global standards including data product principles AI risk governance and AI-ready data standards embedding quality and trust by design.
- Solution Assessment: Support vendor assessments statements of work and trade-off evaluations between off-the-shelf and custom AI-powered solutions to optimize time-to-value.
- Governance and Compliance: Ensure solutions comply with regulatory privacy and ethical AI frameworksparticularly for access and pricing analyticswith clear documentation and auditable controls.
- Change Enablement: Drive communication plans training documentation and onboarding for new digital and AI capabilities to achieve adoption and measurable business impact.
- Delivery Transparency: Provide timely transparent reporting on project progress risks and dependencies; proactively remove blockers and escalate when needed.

Essential Skills/Experience:
- Translate strategic business priorities into actionable IT requirements aligned to commercial and access data strategies.
- Facilitate workshops discovery sessions and process mapping for emerging AI use cases (e.g. dossier builds negotiation tools SLR local adaptation GVD writing).
- Partner with RDU and AstraZeneca IT teams to ensure IT solutions advance business outcomes.

- Lead endtoend requirements analysis forincluding user stories acceptance criteria functional design and workflow definition.
- Validate requirements with crossfunctional SMEs
- Ensure alignment to global standards e.g. data product principles AI risk governance and AIready data standards
- Support vendor assessments SOW creation and evaluation of offtheshelf vs custom AIpowered solutions.

- Ensure requirements and solutions comply with regulatory privacy and ethical AI frameworksparticularly for access & pricing analytics.
- Drive communication plans training documentation and onboarding materials for new digital and AI capabilities.
- Provide transparent reporting on project progress risks and dependencies.

Desirable Skills/Experience:
- Experience in global pharmaceutical marketing market access and pricing analytics across multiple regions.
- Background in rare disease specialty or high-science launches and payer negotiations.
- Practical familiarity with AI/ML solution delivery including model governance bias assessment and human-in-the-loop design.
- Proficiency with Agile delivery methods and tools (e.g. Jira Azure DevOps Confluence) and writing high-quality user stories.
- Knowledge of data product management metadata and AI-ready data standards; understanding of FAIR principles.
- Strong vendor management experience including RFPs SOWs and build vs buy assessments.
- Working knowledge of data privacy regulations (e.g. GDPR) and applied controls for analytics and AI use cases.
- Ability to create engaging training SOPs and change materials that drive adoption and measurable behavior change.
- Experience collaborating with medical HEOR RWE and biostatistics teams on evidence generation workflows.
- Excellent communication skills with the ability to simplify complexity for senior stakeholders and diverse audiences.

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

Why AstraZeneca:
Here you will apply cutting-edge data and AI with teams who care deeply about their craft and the people we serve. We bring commercial medical data science and technology together to solve real problemslike shortening the journey from evidence to accessso more patients benefit sooner. You will find the pace and autonomy of a biotech environment backed by the scale and rigor of a global biopharma and a culture that values kindness alongside ambition. Your work will be visible meaningful and connected to a purpose that matters.

Date Posted

Closing Date

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