Senior Business Analyst, AI Studio - Operation & Manufacturing Domain

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Business Analyst, AI Studio - Operation & Manufacturing Domain based in United States. The Senior Business Analyst will shape high-value AI, automation, and process opportunities before technical design and delivery begin. The role sits at the intersection of business architecture, AI, process improvement, and digital transformation. You will lead discovery with stakeholders across Operations, Manufacturing, Quality, Supply Chain, Product, Architecture, and Delivery. Your work will turn ambiguous business needs into structured opportunities with clear scope, value drivers, risks, and measurable outcomes. You will help strengthen portfolio prioritization and ensure opportunities are ready for technical review and delivery planning. The environment is global, collaborative, matrixed, and innovation-focused, with opportunities to use AI tools to accelerate business analysis. Success will depend on your ability to connect complex business challenges to practical solutions and sustainable business value. Accountabilities: • Lead business discovery activities for AI, automation, process intelligence, digital workflow, and productivity opportunities, helping stakeholders transform business challenges into clearly defined opportunities. • Partner with business stakeholders, Product Managers, Solution Partners, Delivery Architects, and Delivery Leads to clarify needs, scope, expected outcomes, priorities, dependencies, and readiness for technical review. • Translate ambiguous requests into structured opportunity statements that capture the business problem, stakeholder impact, current-state pain points, desired future state, value drivers, risks, assumptions, dependencies, and success measures. • Assess incoming requests for clarity, completeness, business alignment, and readiness to move through intake, discovery, prioritization, technical review, and delivery planning. • Capture stakeholder perspectives and create business architecture artifacts such as opportunity briefs, process maps, value summaries, business case inputs, decision narratives, and discovery documentation. • Define current-state and future-state business processes using appropriate methods such as process flows, SIPOC diagrams, value stream maps, journey maps, capability maps, and decision flows. • Identify process inefficiencies, gaps, handoffs, dependencies, risks, business rules, and opportunities where AI, automation, or process improvements can create measurable value. • Work with stakeholders to identify value drivers such as productivity, cost avoidance, quality and compliance, customer experience, employee experience, speed-to-patient, revenue growth, sustainability, and broader transformation objectives. • Support business cases by documenting value assumptions, adoption expectations, measurable outcomes, benefit hypotheses, and the connection between business activity and expected value. • Help distinguish product-level, release-level, new, and sustained value to support portfolio planning, prioritization, and value tracking. • Collect and validate business-side prioritization inputs, including strategic value, product value, release value, value confidence, reputational risk, dependencies, severity, urgency, and business resource commitments. • Prepare opportunities for Technical Review by ensuring business context, scope, desired outcomes, data and content sources, access and security needs, dependencies, subject-matter experts, sample use cases, and business contacts are clearly documented. • Partner with Delivery Architects to identify gaps before technical feasibility assessment and support effective handoffs from discovery into technical design and delivery planning. • Create leadership-ready summaries that clearly communicate business problems, value drivers, recommendations, scope, risks, tradeoffs, and next steps. • Support prioritization discussions by helping stakeholders understand how value, urgency, risk, strategic alignment, and effort influence portfolio decisions. • Use approved AI tools, including ChatGPT and similar technologies, to accelerate discovery, summarize stakeholder input, improve documentation, structure business cases, and create reusable process artifacts. • Collaborate across global, virtual, and cross-functional teams to align business, product, architecture, and delivery stakeholders around clear outcomes and execution readiness. • Promote continuous improvement across intake, discovery, business architecture, value definition, prioritization, and pre-delivery readiness practices. Requirements • Doctorate degree in Computer Science, Information Technology, or a related field; or a Master’s degree with at least 2 years of relevant experience; or a Bachelor’s degree with at least 4 years of relevant experience; or an Associate’s degree with at least 8 years of relevant experience; or a high school diploma/GED with at least 10 years of relevant experience. • Demonstrated experience working in regulated life sciences environments, with familiarity with GxP, 21 CFR Part 11, computer system validation, quality systems, or comparable compliance requirements. • Strong domain knowledge of pharmaceutical or life sciences processes, preferably across Process Development, Quality, Manufacturing, and/or Supply Chain. • Proven business architecture, business analysis, and problem-framing capabilities, including the ability to lead discovery and convert ambiguous business needs into structured, decision-ready opportunities. • Strong understanding of demand intake, opportunity assessment, discovery, prioritization, technical review preparation, and pre-delivery planning. • Experience documenting business problems, stakeholder needs, current and future-state processes, value drivers, assumptions, risks, dependencies, and expected outcomes.