Senior PMO Business Analyst - Automation, Analytics & AI (Sr. BA - AA & AI)

Key Responsibilities

PMO project coordination

• Contribute to the ongoing management of strategic process improvement initiatives within GCTO.
• Provide general and project support to project managers by promoting cross-initiative alignment and best practice sharing.

AI/Automation strategy & intake

• Partner across HQ Ops and GCTO functions to surface priority pain points and high-value opportunities for automation, analytics, and AI.
• Lead development of business cases including problem definition, options analysis, solution scope, resource/cost estimates, benefits/KPIs, risks, and compliance considerations.
• Align local opportunities with GCTO priorities; verify with relevant GCDI/central repositories and teams if there are for similar tools to avoid duplication; summarize reuse opportunities and recommendations as appropriate.

Solution design & delivery

• Lead and drive the end-to-end delivery of tools and solutions (e.g., dashboards, workflow automation, AI-assisted processes) using appropriate platforms and methods.
• Responsible for escalation to centralized assessment when project requirements exceed local capability or scale.
• Translate business requirements into functional/technical specifications and oversee build, testing, validation, and controlled deployment; ensure security, privacy, and quality.

Project reporting, tracking & analytics

• Develop or oversee development of project analytics and visualization (e.g., GCTO Project Catalog, GCTO Change Management Dashboard, GCTO Pilot Tracker, etc) to track deadlines, deliverables, resources and timelines.
• Define and track project success metrics (e.g., cycle-time reduction, accuracy, adoption/satisfaction, cost avoidance/FTE savings) and embed learning loops for continuous improvement.

Governance, compliance & change

• Ensure solutions comply with ICH GCP, Company policies, and local regulations; partner with Compliance/Legal as needed.
• Maintain project tracking and provide periodic updates via relevant governance forums; support RRO governance processes.
• Lead change management efforts, including training plans, communications, and stakeholder engagement; contribute to capability uplift in data literacy and digital ways of working.

Collaboration & solution scaling

• Serve as a PMO liaison with functional representatives, Automation/Analytics/AI partners, and when required, IT and external vendors for integration and support.
• Share learnings and reusable assets with other functions and project teams; assess and adapt project-specific tools for local use.

Educational Requirements

Bachelor’s degree in a life science discipline, business analytics, computing science, engineering, or related field.

Required Experience

Minimum of 5 years of relevant experience in data/analytics, process improvement, or technology-enabled transformation within life sciences/healthcare or a comparable regulated environment which includes:

• Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, RPA/workflow automation, AI/ML pilots) that produced measurable improvements.
• Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.

Preferred Experience

• Experience working across multiple functions or on cross-functional process improvement initiatives.
• Exposure to integrations with IT/data science teams.
• Familiarity with clinical trial processes and operational metrics.
• Compliance/regulatory: understanding of ICH GCP and applicable quality and data protection requirements.

Required Knowledge, Skills and Abilities

• Business process modeling and requirements techniques: e.g., process mapping, user stories, acceptance criteria, functional specifications
• End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement).
• Data literacy and analytics: ability to translate business questions into metrics; hands-on with BI tools (e.g., Power BI/Tableau) and data querying basics (SQL or equivalent).
• Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations.
• Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices.
• Communication & influence; ability to influence across functions and present technical topics to non-technical audiences.
• Change enablement: stakeholder engagement, training, and adoption support.
• Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset.

Required Skills

Adaptability, Automation, Cross-Functional Teamwork, Data Analytics, Process Improvements, Project Management, Risk Management, Solutions Delivery, Stakeholder Communications, Workflow Automation