Senior Clinical Solutions Engineer, Data - Evinova

AstraZeneca • Durham, NC

3d • Hybrid

About The Position

The Senior Clinical Solutions Engineer, Data is the customer-facing clinical data expert on Evinova’s SaaS Delivery team and a trusted advisor on data requirements, data standards, and technical solutions for connecting customers with Evinova’s SaaS products. The role covers clinical trial operational, study design, cost and rate, and feasibility data. It leads customer conversations about requirements and guides the work to bring customer data into the platform, from source data through validated loads.

The role works with customers’ clinical operations, data, and IT teams, as well as Evinova’s Product and Engineering teams, to translate customer needs into working solutions. It provides technical guidance during implementation and configuration, supports post-implementation inquiries and pre-sales discussions, and contributes customer insights to product development. The position requires hands-on delivery in a fast-paced, emerging digital health product environment.

Evinova expects employees to work from the office an average minimum of three days per week, while respecting individual flexibility.

Requirements

• At least 8 years of experience.
• Bachelor’s degree.
• Demonstrated experience in clinical operations, clinical data management, clinical trial planning, or a related technical field where data informs study decisions.
• Strong working knowledge of clinical trial data structures, terminologies, and standards, including USDM and CDISC.
• Hands-on familiarity with clinical trial operational, study design, cost and rate, and feasibility data, ideally including both clinical operational and cost or finance data.
• Background in technical implementation of customer-facing data integrations across organizations, ideally for enterprise SaaS customers.
• Strong working skills with structured data formats and secure file transfer.
• Comfort with configuration in version control, command-line tools, and basic cloud concepts such as AWS.
• Experience with work-tracking and documentation tools such as Jira and Confluence.
• Ability to analyze data flows, identify discrepancies, and solve complex data issues.
• Ability to manage high-visibility technical customer engagements, work independently across multiple engagements, and own problems end to end.
• Strong communication and executive presence, with the ability to translate technical topics for non-technical audiences and collaborate across diverse teams.
• Highly organized, resilient, adaptable, and passionate about finding effective approaches in a fast-paced, newly emerging product space.
• Passion for improving healthcare through technology.

Nice To Haves

• Experience supporting or implementing healthcare technology, digital health solutions, or data-heavy SaaS platforms.
• Knowledge of data privacy and compliance requirements and standards for clinical data.
• Experience working within formal change management in a regulated environment.
• Experience supporting pre-sales or solution scoping.
• Familiarity with integration monitoring tools, automation, and customer delivery playbooks.
• Practical experience using AI-driven tools or frameworks to accelerate data integration and validation, such as reducing manual mapping.

Responsibilities

• Lead customer discovery conversations about data requirements and identify appropriate datasets, data owners, and cross-functional partners.
• Advise customers on data standards and mapping their data to Evinova’s standard offerings.
• Develop expertise in Evinova’s data landscape and customer data architectures, providing technical guidance during implementation and configuration.
• Present technical topics clearly to technical and non-technical audiences, including senior customer stakeholders.
• Guide customers in collecting source-data specifications, preparing datasets, and mapping and transforming data to Evinova standards where needed.
• Support onboarding of sponsor-specific data sources, prepare data hands-on where needed, and load data into customer environments.
• Review customer data for quality and completeness, resolve issues before loading, validate loaded data, and reconcile it against source data.
• Manage defects and issues through resolution with Product and Engineering, including leading root-cause analysis and remediation.
• Navigate formal change control and environment promotion, coordinating approvals, dependencies, and timelines.
• Champion change initiatives in line with change-management guidelines, strategic goals, product releases, and cross-functional needs.
• Track and communicate implementation progress across customers and internal partners, manage multiple engagements independently, and identify and mitigate risks.
• Lead end-to-end customer data integrations, including requirements gathering, configuration, testing, maintenance, and resolving connectivity issues.
• Manage configuration as code and coordinate reviews and approvals with Platform and Security partners.
• Support system-upgrade impact assessments and update integrations following implementation.
• Ensure data exchange meets applicable data privacy and regulatory requirements.
• Answer post-implementation technical and data questions and serve as a customer contact for data-related concerns.
• Support pre-sales discussions with technical and data input, including feasibility and prioritization.
• Liaise among customers, internal teams, vendors, Product, and Engineering; collaborate with Product on solutions and relay customer insights to the roadmap.
• Establish and document data-exchange guidelines, including monitoring and issue resolution, and improve delivery playbooks, templates, and checklists using Evinova’s automated tools.
• Train internal teams and customers on data-exchange procedures and standards.
• Take a commercial approach to ensure integration and delivery work provides value for customers and Evinova.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior