Responsibilities Product Ownership & Strategy Own the product vision, scope, and roadmap for Pulse as a shared integration platform Clearly define what Pulse is and is not, preventing ad hoc or point-to-point integrations Balance near-term delivery with long-term scalability and platform health Requirements & Backlog Management Translate cross-application integration and data-sharing needs into clear requirements Partner with engineering to define APIs, event contracts, and data exchange patterns Own and prioritize the Pulse backlog based on enterprise-wide value Security, Compliance & Data Governance Define security, access control, and data governance requirements Ensure support for identity-based authentication and authorization models Translate compliance expectations into actionable product requirements Cross-Functional Collaboration Serve as the primary product interface across engineering, architecture, and security teams Drive alignment across teams with differing priorities and constraints Governance & Adoption Help define governance models for shared integration services Identify opportunities to expand Pulse adoption Ensure long-term resilience, maintainability, and extensibility Qualifications Required Qualifications 5+ years in senior engineering, architecture, or technical leadership roles Experience owning shared services or integration platforms Strong technical fluency across APIs and event-driven systems Experience defining security and access control requirements Ability to operate effectively in ambiguous environments Preferred Qualifications Experience with integration services, messaging systems, or data pipelines Knowledge of enterprise identity models such as RBAC, ABAC, ReBAC, and AWS IAM Experience in regulated or compliance-aware life sciences environments Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization.