Senior Business Analyst, AI Studio - Operation & Manufacturing Domain

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.
• Experience supporting business cases, value assessments, ROI estimates, benefit hypotheses, or value realization planning, with the ability to connect business activity to measurable outcomes.
• Strong process documentation and modeling capabilities, including experience with process flows, SIPOC, value stream mapping, journey mapping, capability mapping, or similar techniques.
• Ability to simplify complex or ambiguous problems into clear opportunity statements, business narratives, process flows, recommendations, and leadership-ready presentations.
• Excellent stakeholder engagement and communication skills, with the ability to facilitate alignment across business, product, architecture, solution, delivery, and leadership teams.
• Strong analytical and structured problem-solving skills, including the ability to validate assumptions using available data and stakeholder input.
• Ability to use approved AI tools to improve discovery outputs, summarize information, structure documentation, draft business cases, and increase the speed and quality of business architecture activities.
• Ability to work independently in a matrixed environment while managing multiple stakeholders, priorities, and discovery efforts.
• Experience with AI, automation, process intelligence, digital workflow, enterprise platforms, or transformation initiatives is highly desirable.
• Familiarity with technologies such as UiPath, DocuSign, Celonis, Power Platform, WalkMe, Custom GPTs, ChatGPT, or similar AI and automation platforms is a plus.
• Experience with value and prioritization frameworks such as WSJF, portfolio governance, PI planning, or product-led operating models is beneficial.
• Familiarity with tools and methodologies such as BPMN, Miro, Lucidchart, Visio, Jira, Jira Align, Smartsheet, Confluence, or comparable business and portfolio management platforms is advantageous.
• Experience working in Agile, SAFe, Scrum, or product-led delivery environments is preferred, as are professional certifications such as Lean Six Sigma, CBAP, CCBA, ECBA, SAFe, BPM, Business Architecture, Product Management, or related credentials.
• Demonstrates integrity, sound judgment, active listening, transparent communication, and reliable follow-through when working with sensitive business information and stakeholder priorities.
• Maintains a strong focus on measurable value while balancing urgency with quality, compliance, ethics, risk awareness, and sustainable business impact.

Benefits

• Annual salary range of $120,677.05–$163,268.95 USD, with actual compensation varying based on relevant skills, experience, qualifications, and other factors.
• Comprehensive health and welfare benefits for eligible employees and dependents, including medical, dental, and vision coverage.
• Retirement and savings opportunities with company contributions.
• Life and disability insurance, as well as flexible spending account options.
• Discretionary annual bonus opportunities.
• Stock-based long-term incentive opportunities.
• Award-winning paid time-off programs.
• Flexible work models, with this position offered as a fully remote role within the United States.
• Career development and professional growth opportunities in an innovative AI, automation, data, and digital transformation environment.
• Opportunity to work on enterprise-scale initiatives connecting AI and automation to measurable business outcomes in regulated life sciences operations.