IT Business Analyst

We are now seeking an experienced IT Business Analyst/Project Mgr. to join our team in Singapore. We believe you thrive in sophisticated environments and can use creative and critical thinking to deliver outstanding results. You will collaborate with senior business partners, IT stakeholders, and regional partners to develop business cases, 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. What you’ll do: As an IT Business Analyst, you will excel in the following responsibilities: Business Discovery & AI Opportunity Identification : Engage with collaborators to understand and prioritize business needs to drive operational efficiencies, using your specialized knowledge. 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 impacts, costs, and benefits of new or modified demands, including model performance, data readiness, and change implications to address business risks and issues. Innovation Pipeline Contribution : Contribute innovative ideas to projects within your specialization, 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 and Benefits Realization : Work closely with Site Leadership Teams, regional/site collaborators, and Business Process Owners to propose and implement solutions that meet agreed outcomes. Ensure solutions align with future strategic needs. Develop and shape cases including ROI, productivity uplift, quality/safety improvements , and benefits tracking for AI-enabled initiatives. Architecture, Data, and MLOps Collaboration : Collaborate with IT capability teams—architects, engineers, data scientists—to identify essential capabilities (data platforms, integration patterns, MLOps , observability) required for successful outcomes. Work with Process/Product Owners to improve business process performance and digital maturity . Design Workshops & Experimentation : Lead and facilitate design workshops with business and implementation teams to identify functional and technical requirements, label data needs , define guardrails , and agree on successful metrics for AI solutions. Analytics and Insights : Capture and analyze information from relevant sources to report data trends and model insights, enabling informed decision-making and continuous improvement. Support A/B testing and iterative optimization. Change and Adoption : Use your communication skills to effectively engage collaborators and share knowledge with delivery teams. Support communication plans and organizational change for projects, including AI literacy , responsible use guidelines, and human-in-the-loop operating models. As a Project Manager, your responsibilities include: Planning & Delivery : Develop integrated schedules (milestones, deliverables, resources), manage baselines and change control; coordinate stage gates from discovery to deployment and hyper care, including data onboarding, model validation, and go-live for AI solutions. Stakeholder Engagement : Map stakeholders, craft communication plans, deliver clear status reporting tailored to execs and delivery teams; facilitate decision-making and resolve conflicts, ensuring transparency on AI risks, performance, and benefits . Scope and Change Control : Maintain a clear, testable scope; run change requests; assess impacts (time/cost/quality), seek approvals, and update plans, including model retraining, drift management , and feature updates . Benefits Realization : Define measurable outcomes and KPIs early; track benefits against baseline; adjust plans to protect ROI and document lessons learned. Include AI-specific metrics (adoption, accuracy, precision/recall, automation rates, cycle-time reduction). Governance and Compliance : Establish and run project governance routines (steerco, working groups). Ensure adherence to quality, GxP, data privacy, cybersecurity, ethical AI, model governance , audit requirements; maintain proof of compliance and explainability documentation . Risk, Issue, and Dependency Management : Build and maintain RAID logs; quantify impa…