Description
Summary:
Lead the Engineering Scorecard program, driving adoption across infrastructure domains and translating AI Enablement initiatives into actionable delivery plans.
Highlights:
1. Fully remote role with collaboration aligned to Eastern Time business hours
2. Lead Engineering Scorecard program end-to-end
3. Partner with engineering leaders to strengthen accountability
Client: Our client is a leading US\-based healthcare platform focused on connecting patients with healthcare providers through innovative digital solutions.
* Project overview: The team operates as a product engineering partner within the client’s ecosystem, focusing on API development and delivering insurance data capabilities that support seamless healthcare experiences.
* Fully remote role with collaboration aligned to Eastern Time business hours.
* Technology stack: Jira, Confluence
* DORA metrics frameworks, service readiness scorecards, RAID logs
* AI\-powered engineering tools such as Claude, GitHub Copilot, and ChatGPT
* Agile delivery methodologies (Scrum, Kanban)
* Microservices\-based environments
* Responsibilities: Lead the Engineering Scorecard program end\-to\-end, driving adoption across infrastructure domains to improve service health, deployment reliability, code quality, observability, and tooling consistency
* Translate AI Enablement initiatives into actionable delivery plans with clear milestones, ownership, and dependency tracking
* Facilitate program cadences, including standups, status updates, RAID management, and stakeholder communications, tailored to different audiences
* Proactively identify risks, dependencies, and blockers, recommending mitigation strategies and escalating critical decisions when needed
* Partner with engineering leaders to strengthen accountability and support prioritization of remediation initiatives
* Coordinate delivery across multiple teams with varying priorities and planning timelines
* 7\+ years of experience in Technical Program Management within software engineering organizations
* 3\+ years of experience working with infrastructure, platform engineering, or DevOps\-focused teams
* Proven experience delivering large\-scale cross\-functional technical programs across multiple engineering teams
* Practical experience with engineering health metrics, scorecards, or maturity frameworks such as DORA metrics or service readiness models
* Strong understanding of Agile methodologies with the flexibility to adapt processes to team and business needs
* Excellent communication and stakeholder management skills, including experience working with senior leadership and executive audiences
* Hands\-on experience using AI\-assisted development tools such as Claude, GitHub Copilot, ChatGPT, or similar solutions in day\-to\-day workflows
* Nice to have: Experience in healthcare technology or other highly regulated industries
* Background supporting AI/ML platform initiatives or developer experience programs
* Experience working in large\-scale microservices environments with multiple distributed services
* Advanced proficiency with Jira and Confluence