Senior Clinical Solutions Engineer, Data - Evinova

AstraZeneca • Durham, NC

1d • Hybrid

About The Position

The Senior Clinical Solutions Engineer, Data is a customer-facing clinical data expert on Evinova’s SaaS Delivery team and a trusted advisor on data requirements, 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, guiding customer discussions and delivering the work needed to move data from source systems through validated loads into customer environments.

The position works directly with customer clinical operations, data, and IT teams, as well as Evinova Product and Engineering teams. It provides technical guidance during implementation and configuration, leads end-to-end customer integrations, and addresses post-implementation data questions. The role also supports pre-sales discussions, contributes customer insights to product development, and develops delivery guidelines, playbooks, templates, and training. It suits someone comfortable working hands-on in a fast-paced, emerging product environment to deliver digital health solutions at scale.

The position is based on an average expectation of working at least three days per week from the office, with individual flexibility respected.

Requirements

• At least 8 years of experience.
• Bachelor’s degree.
• 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.
• Executive presence and strong communication skills, including the ability to explain technical topics to non-technical audiences and collaborate across diverse teams.
• Strong organizational skills and a passion for finding effective approaches.
• Resilience and adaptability in a fast-paced, newly emerging product environment.
• 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 to identify data requirements, suitable datasets, data owners, and cross-functional partners.
• Advise customers on data standards and how their data maps to Evinova’s standard offerings.
• Develop expertise in Evinova’s data landscape and customer data architectures, and provide technical guidance during implementation and configuration.
• Present technical information 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 for sponsor-specific data sources; prepare data and load it into customer environments when required.
• Review customer data for quality and completeness, resolve issues before loading, and validate loaded data against its source.
• Manage defects and issues with Product and Engineering, including root-cause analysis and remediation.
• Coordinate formal change control and environment promotion, including approvals, dependencies, and timelines.
• Champion change initiatives and align delivery with strategic goals, product releases, and cross-functional needs.
• Track and communicate implementation progress across customer engagements and internal partners; identify and mitigate risks proactively.
• Lead end-to-end customer data integrations, including requirements gathering, configuration, testing, maintenance, and connectivity issue resolution.
• Manage configuration as code and coordinate reviews and approvals with Platform and Security partners.
• Assess the impact of system upgrades and update integrations after implementation.
• Ensure data exchanges meet applicable data privacy and regulatory requirements.
• Answer post-implementation technical and data questions and serve as a customer point of contact for data-related concerns.
• Support pre-sales discussions with technical and data expertise, including feasibility and prioritization.
• Liaise among customers, internal teams, vendors, Product, and Engineering; contribute customer insights to the product roadmap.
• Establish and document data exchange guidelines, including monitoring and issue resolution, and improve delivery playbooks, templates, and checklists that use automated tools.
• Train internal teams and customers on data exchange procedures and standards.
• Apply a commercial approach so integration and delivery work creates value for customers and Evinova.

What This Job Offers

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