Senior Director, Testing & Quality Engineering - Evinova

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle one of the most stubborn problems in regulated software engineering — knowing, with confidence, that what you shipped works? Then Evinova, a health tech business part of the AstraZeneca Group, might be for you.

We are building software that transforms clinical trials. Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Quality is not a gate at the end of our process — it is embedded in everything we build.

About Our Engineering Organization

Our Product Engineering organization consists of cross-functional squads with the people and skills needed to deliver innovative digital products to patients and healthcare providers in clinical trials worldwide.

We are proud to have one of the strongest software development teams in the health tech space. This is a place where you build real things, solve hard problems, and grow alongside engineers who care deeply about their craft and its impact on patients.

About the Role

This is not a steady-state management role. We are looking for a hands-on testing leader who can consolidate a distributed testing function that has not succeeded as a distributed model, build it into a coherent high-performing organization, and run it — all at the same time.

You will bring together testing teams currently embedded across squads and products into a single function with unified leadership, standards, tooling, and automation maturity. You will own the quality engineering capability across Evinova’s full product portfolio — driving speed, alignment with delivery teams, and a step-change in automation coverage and AI-assisted testing.

You will establish the leadership layer beneath you — Director-Level testing leads who own delivery accountability and validation processes within each product area. You will define what GA-readiness means across the portfolio and hold the line on it. If it hasn’t passed your function’s bar, it doesn’t ship.

We expect you to be the strongest quality engineering voice in the room — someone who can challenge a release decision, close a coverage gap before it becomes a customer issue, and build the testing function the organization does not yet have. You will support multiple products with competing priorities and be effective at managing the complexity that creates. This is not a role for someone who has studied multi-product quality leadership — it is a role for someone who has done it, made hard calls under pressure, and has the experience and judgment that only comes from having done it at scale.

Key Responsibilities

Building and Leading the Testing Function: Consolidate testing teams currently distributed across squads and products into a unified function. Establish the leadership layer beneath you — Director-Level testing leads who own delivery accountability and validation processes within each product area. Define the org structure, set the standard, and build it while running it.

Defining What “Done” Means: Own the standards that define GA-readiness across Evinova’s product portfolio. Drive alignment with engineering, product, and quality on what testable and shippable actually means — and hold the line on it across all products.

Driving Test Automation: Own the shift from manual to automated functional testing across the portfolio. Set the automation roadmap. Make framework and tooling decisions. Work directly in test pipelines, CI/CD configurations, and coverage metrics. Progress across coverage, automation maturity, quality of testing, and quality of release are the primary measures of success in this role.

Owning Traceability and Audit Readiness: Establish and maintain the requirements-to-test traceability infrastructure required under GxP frameworks. Traceability is not a compliance checkbox — it is the evidence that our products actually do what they say they will do.

Building the AI Evaluation Practice: Define how AI capabilities embedded in Evinova products are tested at release and monitored in production. Build the eval frameworks, model regression testing and output validation approaches, and documentation standards that allow AI features to meet the same audit bar as everything else we ship. Our desired outcome is evaluation frameworks that include human review checkpoints — not just automated scoring.

Embedding AI Into the Testing Workflow: Use AI tooling to make your function faster and smarter — automated test generation, intelligent coverage analysis, AI-assisted QA workflows. Model the standard you expect from the org.

Defining and Owning Quality Metrics: Establish the metrics framework that makes quality visible across engineering, product, and leadership. Define what we measure, track progress over time, and use data to drive decisions — on automation coverage, defect trends, release quality, and AI evaluation outcomes.

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