• Own the end-to-end implementation and evolution of our Informatica Product 360 (PIM) platform • Design scalable data models • Implement onboarding workflows • Integrate PIM with eCommerce/ERP/MDM systems • Lead a small team of developers/configurators to deliver high-quality product data experiences across channels • Architect and configure Informatica P360: data models, taxonomies, attributes, hierarchies, business rules, workflow, governance • Build integrations with IDMC, Informatica MDM/MDM-SaaS, ERP (e.g., SAP/Oracle), DAM, eCommerce (e.g., Adobe Commerce, SFCC, SAP CX) via APIs and batch pipelines • Implement workflow, SLA, validation rules, match/merge, enrichment, and digital asset associations • Drive data quality: profiling, stewardship, error handling, and exception dashboards • Lead sprint planning, code reviews, and release management; mentor developers and data stewards • Partner with Product, Merchandising, eCommerce, Marketing, and IT to align PIM with business outcomes.

• Generate SDTM, ADaM specifications, datasets, reviewer’s guide and define.xml files for multiple studies • Develop SAS programs which generate datasets, complex listings, tables (including those with descriptive and standard inferential statistics in collaboration with a Statistician), and complex graphs • Deliver high-quality statistical programming results including developing, validating, and maintaining SAS and/or R programs tailored to clinical development programs’ needs • Participate in overseeing CRO’s statistical programming deliverables for multiple clinical studies to ensure high-quality and meet the pre-specified timelines • Support the preparation of clinical study reports, regulatory submissions, publications, annual DSUR, and exploratory analyses • Understand and follow FDA regulations which affect the reporting of clinical trial data. This includes good clinical practice and guidelines for electronic submissions. • Contribute to the creation, maintenance, documentation, and validation of standards for programming tools, outputs, and macros • Participate in the development of CRFs, edit check specifications, and data validation plans • Provide review and/or author data transfer specifications for external vendor data • Collaborate with internal and external functions (e.g. CROs, software vendors, clinical development partners, etc.) to ensure meeting project timelines and goals • Provide review and/or author SOPs and/or Work Instructions related to statistical programming practices

• Design, develop, and implement customizations, plugins, workflows, and integrations within Microsoft Dynamics 365 (Customer Service) • Configure Dynamics modules to meet business requirements, including entity creation, form design, views, business rules, and process automation • Integrate Dynamics 365 with other enterprise systems using APIs, web services, and middleware (e.g., Azure Logic Apps, Power Automate) • Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications and solutions • Conduct unit testing, support user acceptance testing (UAT), and manage deployment of customizations and updates • Provide ongoing support, troubleshooting, and maintenance for Dynamics 365 solutions, including performance tuning and issue resolution • Create and maintain technical documentation for customizations, integrations, and processes • Ensure solutions adhere to Microsoft best practices, security standards, and compliance requirements

• Lead and scale a distributed organization of Software Engineers, QA professionals, and Scrum Masters, fostering a culture of accountability, learning, and high performance. • Own delivery execution across multiple Agile teams, ensuring predictable outcomes aligned to business priorities, customer commitments, and regulatory requirements. • Partner with Product, Business, Data Engineering, AI, Information Security, and Operations leaders to shape roadmaps, scope initiatives, and deliver differentiated platform capabilities. • Set and evolve engineering operating rhythms, including sprint planning, release management, dependency coordination, and continuous improvement practices. • Drive architectural standards and technical strategy across the platform, ensuring solutions are secure, compliant, performant, accessible, and scalable. • Make strategic trade-offs between short-term feature delivery and long-term technical investments, including identifying, prioritizing, and addressing technical debt to reduce risk and ensure sustainable scalability and efficiency. • Promote adoption of engineering best practices while maintaining agility and avoiding over-engineering. • Thrive in fast-paced, high-growth startup environments, balancing hands-on technical guidance with team leadership and execution. • Establish and track engineering metrics such as delivery throughput, quality, reliability, security posture, and team health; use data to improve outcomes. • Ensure strong DevOps and cloud practices, including CI/CD pipelines, observability, cost optimization, resiliency, and incident response. • Champion reliability engineering, disaster recovery planning, and business continuity processes aligned with uptime targets, RPO/RTO requirements, and customer SLAs. • Guide the development and deployment of AI-enabled features, collaborating with internal experts and vendors to integrate machine learning models, analytics, and intelligent automation into production systems. • Build strong cross-functional relationships with senior leaders and external partners; communicate complex technical concepts clearly to non-technical audiences. • Influence strategic technology decisions, including build vs. buy analyses, vendor partnerships, and long-term platform investments. • Develop organizational structures, career paths, hiring plans, and succession strategies to support growth. • Create an inclusive, feedback-rich environment that attracts and retains top talent while continuously raising the technical bar. • Represent Engineering in executive forums, providing visibility into progress, risks, capacity, and investment tradeoffs.