• Define and execute the enterprise analytics roadmap aligned with business objectives • Foster a culture of data-driven decision-making across departments • Manage and mentor a team of analysts, data scientists, and BI developers • Oversee design and implementation of analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles • Champion data governance and build data stewardship and literacy across the business • Drive adoption of data products to scale data value • Implement predictive modeling, statistical analysis, AI and machine learning where applicable • Leverage Python for advanced analytics, automation, and integration with Databricks workflows • Stay current with emerging technologies and recommend enhancements to the analytics stack • Monitor and manage Analytics services demand, aligning expectations and delivery to highest priority and value • Partner with business leaders to identify analytics opportunities and deliver actionable insights • Present findings and recommendations to executive leadership in clear, compelling formats

• Develop long-term market and opportunity models that quantify potential, guide prioritization, and support product and portfolio decisions. • Leverage advanced analytics (e.g., predictive modeling, correlation and scenario analysis) to generate forward-looking insights that inform strategic roadmaps. • Translate insights into derivative analyses in support of business cases for key strategic bets. • Collaborate across Product, Finance, Commercial, and Market Access to align assumptions, inputs, and scenarios. • Synthesize internal and external data – market trends, adoption dynamics, customer behavior, and competitive shifts – into clear, actionable insights. • Present analytical findings, scenarios, and recommendations to senior leadership with clarity and strategic relevance. • Define and evolve frameworks for opportunity sizing, market segmentation, and scenario planning.

• Own delivery outcomes for a portfolio of Atlassian programs across the enterprise • Establish delivery governance, standards, and operating rhythms • Manage interdependencies, risks, and escalations across programs • Lead enterprise Atlassian transformations, including Server/Data Center to Cloud migrations • Drive platform standardization, simplification, and modernization • Ensure secure, compliant, and resilient Atlassian environments • Partner with senior IT and business leaders to align Atlassian capabilities with enterprise goals • Translate business requirements into delivery roadmaps and execution plans • Provide clear executive-level status, metrics, and insights • Lead and mentor program managers, architects, and delivery teams • Enable Agile, DevOps, and ITSM operating models using Atlassian tools • Promote adoption, change management, and continuous improvement • Define and track KPIs focused on adoption, performance, cost, and business impact • Ensure delivery success is measured by outcomes, not just tool implementation

• Develop and deliver phase-appropriate product understanding and control strategies using QbD framework and risk assessment • Support manufacture of clinical and commercial GMP DS throughout product lifecycle, including tech transfer, campaign analysis, and diagnostics • Author and review technical reports, master and executed batch records, working across internal team and with CDMO partners • Work closely with CDMO partners, providing technical oversight (including onsite Person in Plant support when required), and taking the lead in supporting investigations and resolving deviations • Analyze process and manufacturing data to understand and optimize process performance • Develop process characterization and PPQ strategies and documentation • Support regulatory activities including submissions and site inspections from preparation through execution • Liaise with DP, device development, and clinical supply chain as needed to ensure seamless end to end product delivery and robustness • Develop and maintain cost of good models that describe process and enable sensitivity analyses for process improvements • Collaborate closely with colleagues to ensure a seamless, highly integrated TechOps team • Author and review internal procedures, reports, and presentations, as needed