• Set and own the company-wide data strategy across engineering, analytics, acquisition, and operations • Build and lead a multi-disciplinary data organization with clear charters, ownership, and accountability • Translate company and product priorities into a coherent data roadmap • Establish success metrics for data reliability, coverage, quality, and business impact • Own the design and evolution of Wizard’s data architecture covering ingestion, compilation, auditing, and analytics • Ensure systems scale reliably as data volume, product complexity, and customer usage grow • Balance near-term execution with long-term architectural health and flexibility • Oversee large-scale data acquisition through web crawling, third party APIs, and data feeds in various formats as a core product input • Ensure Spark-based data compilation pipelines are efficient, resilient, compliant, and adaptable to changing sources • Partner closely with AI/ML and product teams to align data acquisition with model and product needs • Lead the analytics function that supports product, growth, operations, and leadership decision-making • Ensure data is accessible, trusted, and well-modeled for both technical and non-technical stakeholders • Drive standards for metrics definition, reporting, and experimentation • Own data quality, observability, incident response, and operational rigor across all data systems • Establish governance, privacy, and security practices appropriate for scale and regulatory expectations • Ensure strong documentation, operational readiness, and clear escalation paths • Serve as a senior thought partner to Product, AI/ML, Engineering, and Leadership • Influence roadmap decisions by grounding discussions in data realities and tradeoffs • Act as the primary executive owner for data across the organization

• Support the harmonization of QC analytical methods across internal laboratories, external vendors, and contract testing organizations. • Partner with global and cross-functional teams to ensure successful implementation of harmonized methods. • Support method transfers, validations, and comparability studies, ensuring adherence to regulatory and quality requirements. • Provide technical oversight to vendors and contract laboratories, including troubleshooting and resolution of method-related issues. • Author and review regulatory submissions (e.g., INDs, BLAs, MAAs) and support technical documentation, ensuring clarity, accuracy, and compliance with global guidelines. • Generate and review technical documents, including protocols, reports, and method lifecycle documents.

• Serve as a subject matter expert in PFS process development and manufacturing, providing technical guidance and strategic insights to cross-functional teams • Develop late-phase and commercial launch strategy for PFS development and manufacturing • Oversee drug product tech transfer, process development, and GMP manufacturing operations including person in plant support • Manage drug product CDMO adherence to deliverables, timelines, and performance in collaboration with Quality and Tech Ops team members • Support phase-appropriate strategies for drug product development, process transfer and scale-up, process characterization, process performance qualification (PPQ), and commercial readiness • Perform risk assessments using a QbD approach to define drug product process development and manufacturing strategies • Collaborate with drug product development and device teams to develop drug product presentations in vial, PFS, autoinjector, and advanced delivery technologies • Analyze manufacturing data and identify opportunities for process improvement and optimization • Support formulation and co-formulation development for protein therapeutics, including antibodies • Collaborate with Quality team and external partners to review and approve batch records, support investigations, and resolve deviations • Author and review regulatory submissions (IND, IMPD, BLA, briefing books, etc.)

• Lead the Analytics team across business verticals, setting the vision, strategy, and goals for the analytics function across the organization • Partner with GTM teams, including Customer Success, Marketing, Sales, Finance, Support & Product, to understand their analytics needs and deliver actionable insights • Collaborate with senior leadership to align analytics initiatives with business objectives and priorities • Ensure seamless integration of analytics into GTM strategies and operations • Foster a culture of data-driven decision-making and continuous improvement within the analytics team and across the company • Provide professional leadership, mentorship, and development opportunities to analysts embedded within cross-functional GTM teams • Oversee the recruitment, onboarding, and training of new analytics team members • Conduct regular performance evaluations and provide feedback to analysts • Establish and enforce, in collaboration with the Data Platform team, data governance policies to ensure data accuracy, consistency, and security • Monitor and improve the quality of data and analytics outputs • Stay up-to-date with the latest analytics tools, technologies, and methodologies