Are you ready to turn complex manufacturing operations into simple, digital experiences that safeguard quality and accelerate medicines to patients? Join AstraZeneca in Frederick, Maryland, where you will partner with manufacturing, quality, supply chain, engineering, facilities, technical operations, and IT teams to solve real operational challenges through robust, scalable technology.
This hybrid role is based at our Frederick Manufacturing Center and requires working on-site an average of at least four days per week. Occasional domestic and international travel may also be required.
This is a hands-on opportunity for a curious problem solver who thrives in the details of processes, systems, data, and integrations. You will shape solutions alongside technical teams and suppliers, investigate and resolve issues, support testing and deployment activities, and ensure technology delivers measurable value in a regulated, safety-first environment.
Can you seamlessly move from process maps to system logs to help unblock production, improve reliability, and enable operational excellence?
AccountabilitiesBusiness Partnering & Prioritisation- Engage site and global stakeholders to understand priorities, challenges, and business needs.
- Translate business requirements into a clear, outcomes-focused technology roadmap that improves safety, reliability, and efficiency across biologics manufacturing operations.
- Lead workshops and design sessions to document current and future-state processes.
- Produce high-quality requirements, user stories, acceptance criteria, and delivery artefacts that support successful implementation.
- Partner with Product Owners, Solution Architects, IT Support teams, and external suppliers to evaluate solution options.
- Recommend solutions that are scalable, practical, supportable, and aligned with enterprise standards.
- Develop a detailed understanding of systems, integrations, data flows, and operational controls.
- Investigate incidents, perform root-cause analysis, and drive timely resolution to protect manufacturing operations.
- Contribute across the full delivery lifecycle, including solution design, test planning, user acceptance testing (UAT), defect triage, deployment readiness, and hypercare support.
- Ensure consideration of GxP requirements, data integrity, cybersecurity, validation, and quality expectations throughout delivery.
- Measure business outcomes and technology performance.
- Capture lessons learned and continuously improve solutions to drive adoption and maximize long-term value.
- Bachelor's degree
- 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment.
- Strong expertise in requirements elicitation, process mapping, stakeholder management, problem-solving, prioritisation, and workshop facilitation.
- Experience working with complex, integrated IT systems.
- Strong understanding of how systems, data, integrations, and business processes interact to support operations.
- Experience collaborating directly with architects, developers, engineers, data specialists, IT support teams, and technology suppliers to shape solutions, resolve issues, and deliver practical outcomes.
- Experience supporting technology delivery using Agile, Waterfall, or hybrid methodologies.
- Demonstrated experience in requirements refinement, testing support, UAT, defect management, and deployment readiness activities.
- Experience working within regulated industries, with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements.
- Excellent communication, influencing, and relationship-management skills.
- Experience engaging business users, technical specialists, senior stakeholders, and external vendors or system integrators.
- Proven ability to work effectively in a global, matrixed, and fast-paced environment.
- Understanding of how data, automation, analytics, and artificial intelligence, including generative AI, can support business and manufacturing processes.
- Ability to identify use cases, define requirements, assess risks, and measure value from digital and AI-enabled solutions.
- Experience within pharmaceutical, biotechnology, medical device, or other regulated manufacturing industries.
- Understanding of biologics manufacturing, quality, laboratory, engineering, warehouse, supply chain, or technical operations processes.
- Experience with manufacturing and enterprise platforms, including:
- Manufacturing Execution Systems (MES)
- Electronic Batch Records (EBR)
- Laboratory Information Management Systems (LIMS)
- Enterprise Resource Planning (ERP)
- Digital Quality Management Systems
- CMMS/EAM platforms
- Manufacturing data historians
- Analytics platforms
- Knowledge of system integrations, APIs, data flows, reporting, dashboards, and operational analytics.
- Lean, Six Sigma, process excellence, or continuous-improvement experience.
- Formal business analysis certification such as IIBA, BCS, or PMI-PBA.
- Experience supporting the design, delivery, adoption, or scaling of:
- Artificial Intelligence (AI)
- Generative AI
- Advanced analytics
- Intelligent automation
- Digital assistant capabilities
- Understanding of responsible AI principles, including data quality, privacy, cybersecurity, human oversight, validation, and change management within regulated environments.
At AstraZeneca, technology is a force multiplier for science. You will join a team supported by significant investment and a clear purpose, combining cloud, data, automation, and AI to transform how medicines are manufactured at scale.
We bring together diverse disciplines, encourage experimentation through hackathons and collaborative problem solving, and empower our people to take ownership while continuously learning and growing.
Your work will help unlock the potential of our manufacturing network and directly impact patients worldwide. Here, ambition is balanced with kindness, and high standards are matched by the support needed to achieve them.
We believe in the value of in-person collaboration and work, on average, a minimum of four days per week from the office. Remote working is not available. At the same time, we recognize the importance of flexibility and strive to balance business needs with individual circumstances.
Ready to Apply?If you are ready to turn analysis into meaningful outcomes on the shop floor and help shape the digital plant of the future, we encourage you to apply and make your impact today.
The annual base pay for this position ranges from $124,320 to $186,480. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
19-oct-2026Closing Date
05-nov-2026Our 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.
Skills Required
- Bachelor's degree
- 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment
- Expertise in requirements elicitation, process mapping, stakeholder management, problem-solving, prioritization, and workshop facilitation
- Experience working with complex, integrated IT systems and understanding systems, data, integrations, and business processes
- Experience collaborating with architects, developers, engineers, data specialists, IT support teams, and technology suppliers
- Experience supporting Agile, Waterfall, or hybrid technology delivery methodologies
- Experience with requirements refinement, testing support, user acceptance testing, defect management, and deployment readiness
- Experience working in regulated industries with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements
- Excellent communication, influencing, stakeholder relationship-management, and supplier-management skills
- Ability to work effectively in a global, matrixed, and fast-paced environment
- Understanding of data, automation, analytics, artificial intelligence, and generative AI applications in business and manufacturing processes
- Experience in pharmaceutical, biotechnology, medical device, or other regulated manufacturing industries
- Understanding of biologics manufacturing, quality, laboratory, engineering, warehouse, supply chain, or technical operations processes
- Experience with MES, EBR, LIMS, ERP, digital quality management, CMMS/EAM, manufacturing data historians, or analytics platforms
- Knowledge of system integrations, APIs, data flows, reporting, dashboards, and operational analytics
- Lean, Six Sigma, process excellence, or continuous-improvement experience
- Formal business analysis certification such as IIBA, BCS, or PMI-PBA
- Experience supporting AI, generative AI, advanced analytics, intelligent automation, or digital assistant initiatives
- Understanding of responsible AI principles, including data quality, privacy, cybersecurity, human oversight, validation, and change management
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
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