[Hiring] AI Delivery Lead @eClinical Solutions

Role Description

As an AI Delivery Lead, you will help transform how eClinical Solutions Engineering teams plan, build, test, and deliver software by driving adoption of AI-enabled software development practices across the organization.

• Drive adoption and continuous improvement of AI-assisted development and AI-DLC practices across Engineering teams.
• Work directly with Engineering, SQA, Product, Architecture, and DevOps throughout planning, development, testing, and release.
• Partner with teams during backlog refinement and sprint planning to improve story readiness, identify dependencies, and ensure development and automated testing are considered together.
• Identify opportunities to use AI and automation to reduce manual activities across requirements analysis, development, testing, documentation, and delivery.
• Help teams incorporate AI-assisted workflows into their day-to-day engineering practices using company-approved tools.
• Drive stronger integration between software development and test automation, including API and UI automation as part of feature delivery.
• Identify delivery bottlenecks, dependencies, and process gaps and work with teams to resolve them.
• Establish repeatable AI-enabled delivery practices and help scale successful approaches across multiple Engineering teams.
• Define and track meaningful delivery metrics, including cycle time, rework, automation coverage, manual test reduction, quality, and AI adoption.

Qualifications

• Experience leading software delivery across cross-functional Engineering, Product, SQA, Architecture, and DevOps teams, including Agile planning, execution, release management, and dependency management.
• Demonstrated experience introducing or scaling AI-assisted development, AI-enabled delivery, or AI-SDLC practices and translating those capabilities into measurable improvements.
• Experience driving Agile and engineering process transformation, including improvements to cycle time, delivery predictability, automation, quality, and team operating models.
• Experience leading complex initiatives across multiple teams and communicating delivery status, risks, dependencies, and measurable outcomes to senior leadership.
• Strong understanding of the Software Development Lifecycle, including requirements, software development, CI/CD, automated testing, release management, and software quality practices.
• Practical understanding of modern AI-assisted software development tools, agents, and workflows, with the ability to identify where AI and automation can safely improve or replace manual processes.
• Strong Agile delivery capabilities, including backlog readiness, refinement, sprint planning, risk and dependency management, and using delivery metrics to identify and remove bottlenecks.
• Ability to operate as a hands-on change and delivery leader, working directly with engineers, SDETs, Product Managers, architects, and DevOps rather than functioning primarily as a project coordinator or Scrum ceremony facilitator.

Requirements

• Experience introducing AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar technologies within software engineering organizations.
• Experience with automated software quality practices, including API testing, UI automation, CI/CD, and continuous testing.
• Experience driving software delivery transformation in life sciences, healthcare, regulated SaaS, or other regulated environments.
• Experience developing dashboards and metrics that provide visibility into engineering productivity, quality, delivery flow, and AI adoption.

AI Use Statement

Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment—not replace—professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee.

Pay Range

US Pay Ranges: $150,000 — $175,000 USD