Are you passionate about creating lasting, enterprise-level change through innovative technologies? As a senior transformational business analyst at astrazeneca, you’ll drive the seamless integration of ai, machine learning, and intelligent automation across our most critical functional areas—including hr, global business services, legal, compliance, and global corporate affairs.
In this vital role, you’ll spearhead process modernization, champion data-driven decision making, and unlock transformative value for the business. You’ll work closely with business leaders, architects, data scientists, and technology strategists to shape digital initiatives that align with astrazeneca’s enterprise strategy. You’ll not only find opportunities, but also design and deliver solutions that move our organization from reactive operations to a proactive, insight-powered future—while championing ethical, responsible tech adoption at every turn.
If you thrive on collaboration, innovation, and influence, and are motivated to make a measurable impact across the business, this is your opportunity to lead astrazeneca’s digital transformation.
*accountabilities*:
*business analysis & strategic alignment*
you will collaborate closely with business and it collaborators to understand strategic goals, identify challenges, and prioritize opportunities for innovation. Your analysis will provide the backbone for process improvements, system enhancements, and alignment with our digital vision.
*ai & emerging technology enablement*
you’ll scope, identify, and assess how emerging technologies—ranging from advanced ai models to intelligent automation and beyond—can drive tangible value across core business functions. You’ll collaborate with multidisciplinary teams to shape tailored solutions for real-world challenges.
*solution design & delivery*
partnering with architects and product teams, you’ll co-design scalable, user-centric systems that deliver lasting impact. You’ll lead end-to-end business transformation efforts, manage agile delivery processes, and translate vision into value through robust backlog and sprint management.
*partner engagement & change leadership*
you’ll serve as a trusted advisor and bridge-builder between business users, it teams, and external vendors. You’ll help define communication and training strategies, foster adoption, and ensure complex ideas and technologies are clearly understood by all partners.
*data governance & ethics*
with an unwavering commitment to integrity, you’ll advance ethical ai practices, champion bias mitigation and model explainability, and work closely with data governance and security teams to ensure full regulatory compliance and responsible data use.
*essential skills & experience*:
you will thrive in this role if you bring:
- over 10 years’ progressive experience in business analysis, enterprise transformation, or it consulting for large organizations, with at least 3-5 years leading digital initiatives involving ai, machine learning, intelligent automation, or analytics.
- a proven track record of redesigning and transforming core processes (hr, shared services, legal, compliance, corporate affairs, finance) to drive efficiency and value through digital technologies.
- demonstrated success delivering ai/data-powered business solutions, crafting use cases, defining success metrics, and collaborating closely with technical teams to ensure measurable impact.
- direct involvement with agile and hybrid project delivery, including backlog management, user story development, sprint planning, and roadmap creation—particularly for digital and ai-powered initiatives.
- hands-on experience with enterprise platforms such as servicenow, workday, or sap, familiarity with data pipelines, apis, cloud infrastructure (azure, aws, gcp), and low-code/no-code tools.
- in-depth knowledge of ai project lifecycle, ethical ai frameworks, model explainability, and data privacy regulations (gdpr, ccpa).
- strong collaborator management and advisory skills, with the ability to influence senior leadership and drive multi-functional collaboration.
- experience with enterprise-level impact assessments, feasibility studies, and case development for next-generation technology investments.
You will stand out if you offer:
- deep expertise in strategic business analysis, adept at translating complex needs into actionable requirements and mapping/reengineering processes in business-critical domains.
- advanced capabilities in identifying high-value opportunities for ai/ml, rpa, nlp, computer vision, data analytics, and emerging technologies such as generative ai or blockchain.
- robust digital and data fluency, including data governance, quality, and integration, and the ability to work effectively with technical and data science teams.
- experience designing modular, agile solutions; solid command of requirements management; and the ability to drive product discovery, mvp scoping, and sprint