Senior Clinical Solutions Engineer, Data - Evinova

About the Role: As a Senior Clinical Solutions Engineer, Data, you’ll be the customer-facing clinical data expert on our SaaS Delivery team and a trusted advisor on data requirements, data standards, and technical solutions for connecting with Evinova’s SaaS solutions. You’ll work across clinical trial operational, study design, cost and rate, and feasibility data, leading customer conversations about data requirements and then building and guiding the work that gets customer data into our platform, from source data through validated loads. You’ll also be a domain expert across the product suite, supporting post-implementation technical inquiries and contributing to pre-sales discussions. You’ll work directly with customers’ clinical operations, data, and IT teams, and with our Product and Engineering teams, to turn customer needs into working solutions. You’ll stay close to products in development and translate their requirements into delivery approaches. Our product space is new, so this role suits someone who thrives in a fast-paced environment, is energized by emerging technology, and is happy to roll up their sleeves to deliver digital health solutions at scale. What You’ll Do Lead customer data conversations • Lead discovery with customers on data requirements, identifying the right datasets, data owners, and multi-functional partners for each data type. • Advise customers on data standards and on how their data maps to Evinova’s out-of-the-box offerings. • Develop deep expertise in Evinova’s data landscape and in customer data architectures, providing technical guidance during implementation and configuration. • Present clearly and confidently to technical and non-technical audiences, including senior customer collaborators. Technical implementation • Guide customers through collecting source data specifications, preparing datasets, and mapping and transforming data to Evinova standards where needed. • Support customer onboarding to ingest sponsor-specific data sources. • Build and prepare data work hands-on where needed, and load them into customer environments. • Review customer-provided data for quality and completeness, and resolve issues before load. • Validate loaded data in customer environments and reconcile it against source. • Manage defects and issues through to resolution in partnership with Product and Engineering, and lead root-cause analysis and remediation. • Navigate formal change control and environment promotion, coordinating approvals, dependencies, and timelines. • Champion change initiatives using change-management guidelines, aligning delivery with strategic goals, product releases, and multi-functional needs during complex transitions. • Track and communicate implementation progress across customers and internal partners, working independently across multiple engagements and proactively identifying and mitigating risks. Integrations • Lead all aspects of end-to-end customer data integration, including collecting requirements, configuring, testing, and maintaining integrations, and fix connectivity issues. • Manage configuration as code and coordinate reviews and approvals with Platform and Security partners. • Support system-upgrade impact assessments and update integrations after implementation. • Ensure data exchange meets applicable data privacy and regulatory requirements Be the product SME • Answer post-implementation technical and data questions and serve as a customer concern point for data-related issues. • Support pre-sales with technical and data questions, such as feasibility and prioritization. • Act as a key liaison between customers, internal teams, vendors, and our Product and Engineering teams, and work with Product to build solutions and feed customer insig