IT Business Analyst

Are you ready to turn complex operational challenges into clear, high‑value solutions that accelerate how we deliver life‑changing medicines? Do you thrive at the intersection of discovery and delivery—shaping ideas into production solutions that improve quality, safety and productivity?

You will be part of the Operations IT team and partner with the IT Site Lead in Macclesfield, taking responsibility to develop high quality cases, detailed process designs and ensuring that proposed solutions meet established AstraZeneca quality and compliance standards. This role combines IT Business Analysis and Project Management skills to drive IT workstreams of transformation programmes in the manufacturing IT space. You will work closely with senior business partners, IT collaborators, and regional partners to develop arguments & assist in business process design.

The role defines benefits cases and critical metrics, governs scope, risk, budget, and compliance (GxP, privacy, ethical AI), and drives collaborator engagement and change adoption. It ensures measurable outcomes via focused planning & visible reporting.

This is a place to take ownership—where you are trusted to explore, challenge assumptions and apply AI and digital tools to drive measurable outcomes. Do you thrive on orchestrating diverse customers, navigating complexity and converting insight into enterprise‑level impact?

Accountabilities:

• Business Needs Identification: Assess and define operational needs and improvement opportunities, proactively scanning for capability gaps and benchmarking internally and externally to propose high‑value solutions aligned to strategic goals.

• Business Analysis Planning: Select and tailor the analysis approach to fit complexity, risk and dependencies; plan and manage your work and that of others to meet achievements; be accountable for the quality and performance of all analytical outputs.

• Stakeholder Analysis and Change: Map collaborators across functions and geographies, build trusted relationships, and contribute to targeted communications and change plans that drive adoption and benefits realisation.

• Business Case Definition: Build robust arguments with clear return on investment, options analysis and benefits tracking, enabling informed investment decisions and balanced value.

• Value Cases & Benefits Realisation: Develop and shape cases including return on investment, productivity uplift, quality/safety improvements, and benefits that meet agreed business outcomes.

• Change & Adoption: Optimally engage collaborators and share knowledge with delivery teams. Support communication plans and organisational change for projects, including AI literacy.

• Solution Evaluation: Evaluate solution options and vendor proposals, assess business readiness and risk, and recommend the best value path that balances speed, cost and outcomes.

• Risk/Issue/Dependency Management: Maintain RAID logs; quantify impact, drive mitigations. Handle dependencies across various workstreams to protect timelines.

• Budget & Financials: Create and handle budgets, forecasts, and actuals to keep project within budget.

Essential Skills/Experience:

• Technical expertise within the Manufacturing domain, expertise across enterprise systems such as SAP (ECC/S/4HANA), manufacturing systems (PAS‑X, PI Historian, Track SYS)

• Proven Business Analysis and Project Management delivery in fast-paced environments, including AI/automation initiatives; adept at navigating sophisticated integrated systems & data platforms

• Domain Expertise: Experience working within a regulated industry

• Business Analysis & PM Delivery: End-to-end change delivery

• Collaborator Engagement: Map collaborators, run clear comms and status reporting for execs and teams, surface AI risks/performance/benefits, and facilitate decisions.

• Strong engagement, communication and partner management skills, including excellent presentation and influencing skills

• Experience in working on a digital transformation programme

• Demonstrated experience of virtual collaboration to lead, craft and develop innovative solutions

• Experience of mentoring, coaching or developing others

• Experience of liaising with and handling third party suppliers/vendors

• Ability to challenge, negotiate and influence at all levels

Desirable Skills/Experience:

• A keen interest in AI and Machine Learning

• A good understanding of Industry 4.0 technologies

• Degree in relevant subject area or formal certification in business analysis practice (or equivalent experience)

• Lean SIGMA training

• Practical usage of Agile Methodology

• Experience of working in a global organisation with complex/geographical context

• Pharmaceutical business awareness/business domain knowledge

• Cross industry business awareness/business domain knowledge.

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. Join us in our unique and ambitious world.

Interested in this exciting opportunity? Apply today!

Date Posted

26-May-2026

Closing Date

09-Jun-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.