What are the responsibilities and job description for the Technical Program Manager 2 position at ModMed?
ModMed is seeking a dynamic and experienced Technical Program Manager / Release Train Engineer (RTE) to lead our Agile Release Train (ART). This pivotal role is responsible for orchestrating our quarterly PI Planning process, facilitating all ART ceremonies, and driving cross-functional alignment between engineering, product, and business stakeholders. The ideal candidate will be a master of value stream management, adept at streamlining dependencies, managing risks, and optimizing the flow of work for both traditional SDLC and iterative AI/ML development lifecycles. Beyond day-to-day program execution, you will partner with senior leadership to shape technical roadmaps, champion continuous improvement, and mentor teams in SAFe best practices. This position uniquely requires practical, hands-on experience using generative AI tools to automate reports, derive data-driven insights, and enhance program predictability.
This role is pivotal in orchestrating PI Planning, streamlining dependencies, and ensuring alignment across engineering, product, and business stakeholders.
ART Leadership & Execution
This role is pivotal in orchestrating PI Planning, streamlining dependencies, and ensuring alignment across engineering, product, and business stakeholders.
ART Leadership & Execution
- Own and facilitate all ART ceremonies, including PI Planning, ART Syncs, Inspect & Adapt workshops, and System Demos.
- Lead, coach, and mentor scrum teams, empowering them to deliver on PI objectives with measurable business impact.
- Drive cross-team alignment with Product Management, Engineering and Architecture to ensure execution remains tightly coupled with strategy.
- Translate Team PI Objectives into Program PI Objectives and ensure high-visibility communication across the organization.
- Optimize the flow of value across the ART, proactively identifying and managing risks, dependencies, and impediments to keep delivery on track.
- Apply a deep understanding of both the traditional SDLC and the iterative AI/ML development lifecycle to manage technical complexities and guide data science, engineering, and MLOps teams.
- Implement and maintain metrics, dashboards, and information radiators to measure ART health, predictability, and throughput.
- Facilitate seamless collaboration and communication across distributed, matrixed teams, acting as the primary translator between technical and non-technical stakeholders.
- Partner with senior leadership to shape technical roadmaps, inform capacity planning, and assist with resource allocation.
- Champion Agile and SAFe practices and drive continuous improvement, guiding the adoption of DevOps, Release on Demand, and Lean UX across the value stream.
- Act as a thought leader and mentor, helping to evolve the Program Management and Agile practices within the organization.
- AI-Powered Communication: Using GenAI tools to draft status reports, create first drafts of project plans, summarize long documents, and prepare stakeholder presentations.
- Data-Driven Insights: Using AI to analyze project data, predict potential risks, or identify bottlenecks in your team's workflow.
- Task Automation: Automating your own repetitive tasks so you can focus on high-value strategic work.