IT Business Analyst

Astrazeneca

Job Title: IT Business Analyst Career Level: E Introduction to role: Be part of history in the making. AstraZeneca is building its first-ever biologics manufacturing campus in Singapore—a USD 1.5 billion, innovative hub that unites end-to-end Antibody–Drug Conjugate (ADC) capabilities under one roof: small-molecule chemical API production, large-molecule antibody manufacturing, conjugation, and fill-and-finish (including sterile filling and lyophilization). Powered by sophisticated digitalization, automation, and artificial intelligence for autonomous manufacturing—and targeting carbon neutrality—this next-generation site will set a new benchmark for environmentally responsible biologics production. Are you ready to turn data, cognitive technologies, and robotic processes into measurable business outcomes that help 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? This role combines IT Business Analysis and Project Management skills to find AI/ML and automation opportunities. It develops data and AI-based solutions and delivers them through all stages, from initial exploration to production and ongoing support. This role will collaborate with senior business partners, IT collaborators, and regional partners to develop arguments, assist in business process design, and ensure that proposed solutions meet our quality and compliance standards—while identifying, piloting, and scaling AI/automation opportunities that improve outcomes safely and responsibly. The role defines benefits cases and KPIs, 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, and continuous optimization of AI solution performance and business value. From day one, you will lead discovery, structure experiments, and orchestrate the path to production with strong governance. You will help set guardrails for responsible AI, support operational frameworks involving human participation, and establish clear metrics so benefits are supervised and realized. This is a chance to build capabilities that endure—while shaping your own development through hands-on, outcomes-focused work. Accountabilities: Business Discovery & AI Opportunity Identification: Engage collaborators to understand and prioritize business needs to drive operational efficiencies. Proactively identify AI/ML and automation use cases aligned to strategic objectives and ethical AI principles. Data- and AI-Driven Solution Design: Translate sophisticated business requirements into clear, actionable analysis, solution designs, and decisions. Communicate model performance, data readiness, and change implications to address business risks and issues. Innovation Pipeline Contribution: Supply innovative ideas and aligned with AZ IT strategy. Collaborate with AZ IT partners to incubate proofs of value, run rapid experiments, and transition successful pilots into production. Value Cases & Benefits Realization: Develop and shape cases including return on investment, productivity uplift, quality/safety improvements, and benefits supervising for AI-enabled initiatives that meet agreed business outcomes. Architecture, Data, and MLOps Collaboration: Coordinate with IT capability teams to identify crucial capabilities (Data platform, Integration patterns, MLOps ,Observability) required for successful outcomes. Align solutions to enterprise patterns and improve process performance and digital maturity. Design Workshops & Experimentation: Lead workshops to elicit functional and technical requirements, label data needs, define guardrails, and agree on successful metrics for AI solutions. Analytics & Insights Collection and analyse information from relevant sources to report data trends and model insights, enabling informed decision-making and conti