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Digital Automation Impact Team Lead

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: BioSpace
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 130800 - 209400 USD Yearly USD 130800.00 209400.00 YEAR
Job Description & How to Apply Below

The Role

Joining Moderna offers the unique opportunity to be part of a pioneering team that's revolutionizing medicine through mRNA technology, with a diverse pipeline of development programs across various diseases.

As an employee, you'll be part of a continually growing organization, working alongside exceptional colleagues and strategic partners worldwide, contributing to global health initiatives.

Moderna's commitment to advancing the technological frontier of mRNA medicines ensures a challenging and rewarding career experience, with the potential to make a significant impact on patients' lives worldwide.

We are seeking a Digital Automation Impact Team - Lead to rapidly design, develop, and deploy AI-powered business solutions that deliver measurable value across the organization. This role focuses on identifying high-impact opportunities, building proofs of concept, and delivering production-ready solutions using AI, automation, and modern software development technologies.

The ideal candidate is a hands‑on builder and self‑starter who combines software engineering, AI solution development, automation expertise, and business problem‑solving skills. They are equally comfortable building a Power App, developing a Copilot Studio agent, creating a Power Automate workflow, or using Visual Studio Code and Git Hub Copilot to develop custom applications and integrations.

Success in this role is measured by business outcomes, speed to value, process efficiency improvements, user adoption, and the ability to rapidly transform ideas into scalable AI-powered automation solutions.

Here’s What You’ll Do AI Solution Development & Delivery
  • Design, develop, test, and deploy AI-powered business process automation solutions that improve operational efficiency, reduce manual effort, and accelerate business outcomes.
  • Build end-to-end solutions using technologies such as:
  • Microsoft Power Platform, including Power Apps, Power Automate, Copilot Studio
  • Visual Studio Code
  • Git Hub Copilot
  • APIs and enterprise integrations
  • Develop proofs of concept (POCs), minimum viable products (MVPs), and production-ready solutions.
  • Rapidly validate ideas and scale successful solutions into production.
  • Design and develop AI agents, copilots, and conversational experiences that streamline business processes, improve decision-making, and increase operational efficiency.
  • Build reusable components, templates, accelerators, and frameworks to increase development velocity and solution scalability.
Business Process Automation & Stakeholder Partnership
  • Partner directly with business stakeholders to identify, prioritize, and deliver AI-powered automation opportunities.
  • Analyze business processes and identify opportunities to reduce manual effort, eliminate repetitive tasks, and improve efficiency.
  • Translate business challenges into practical AI and automation solutions.
  • Deliver quick wins while contributing to larger transformational initiatives.
  • Measure and communicate business outcomes including productivity gains, cycle‑time reduction, error reduction, and user adoption.
Software Engineering & Enterprise Integration
  • Develop custom applications, integrations, APIs, and automation services when low‑code solutions are not sufficient.
  • Integrate solutions with enterprise platforms such as Service Now, Jira, SAP, Workday, Microsoft 365, One Trust, Agiloft, and other business systems.
  • Leverage Git Hub Copilot and AI-assisted development tools to accelerate software delivery.
  • Follow modern software engineering practices including:
  • Source control and branching strategies
  • Code reviews
  • Automated testing
  • CI/CD
  • Secure software development practices
  • Implement security, compliance, auditability, and governance requirements within delivered solutions.
  • Troubleshoot and support production solutions.
Innovation & Continuous Improvement
  • Stay current on advancements in AI, automation, agentic AI, and software engineering best practices.
  • Evaluate emerging technologies and identify practical business applications.
  • Contribute reusable patterns, standards, and lessons learned across teams.
  • Help establish best practices for AI-powered automation solution development.
  • Contribute to Moderna's AI and…
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