Release Train Engineer/Senior Technical Program Manager-Ai
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Job Description
ModMed is dedicated to transforming the way physicians practice medicine by consistently leveraging cutting-edge engineering capabilities driving innovative software solutions. We are seeking a passionate and experienced Release Train Engineer / Senior Technical Program Manager - AI to manage, drive, and strategically improve our AI/ML & Data delivery across various Portfolios.
The Release Train Engineer/Senior Technical Program Manager will use their strong technical acumen to manage & drive one or more Agile Release Trains / Programs of varying size and technical complexity, while promoting and maturing agile processes in an accelerated growth environment. Release Coordination is an integral part of this role where you will support the Release Management lifecycle, including orchestrating, scheduling, and reporting releases across the enterprise for multiple AI initiatives.
You may be a great fit for Modernizing Medicine's Release Train EngineerSenior Technical Program Manager position IF…
- You are goal-oriented with a distinct ability to negotiate and communicate priorities to keep team iterations on track.
- You are relentless to the pursuit of continuous improvement.
- You naturally build strong internal and external relationships.
- You are an ambitious go-getter, driven to make the team and program successful.
- You have proven success managing cross-functional AI or data platform initiatives involving data engineers, machine learning engineers, and product stakeholders.
Your Role:
- Drive AI and Data initiatives end-to-end by coordinating technical program delivery across engineering, product, and data science teams.
- Foster growth and efficiency through continuous improvement, while adopting effective lean program/ART-level best practices relevant to the organization for one or more programs.
- Provide leadership and direction, working with cross-functional teams of AI developers, healthcare practitioners, business stakeholders to manage dependencies and remove impediments within and outside of the program.
- Exhibit proven leadership and management abilities to oversee scope, timeline, resources/budget for programs, ensuring high transparency and visibility to drive accountability.
- Engage in technical discussions and decision-making processes, contributing strategic insights to influence product development and engineering excellence.
- Collaborate with the product and engineering leadership to understand business objectives and manage product and technical requirements with ease, handling change management effectively at all levels.
- Serve as liaison, coach, and guide between product management, development team, and management to align AI roadmap initiatives and integration with organizational priorities.
- Collaborate closely with engineering teams to identify and implement technical solutions that enhance release quality and streamline delivery efficiency for AI initiatives.
- Facilitate data driven decision-making through effective reports & dashboards (JIRA, Excel) for management to analyze team progress.
- Identify and address key issues, risks, and mitigation plans, resolving conflicts and facilitating feasible product backlogs through productive collaborations.
- Coordinate release content, timelines, communication, readiness reviews, and Go/No-Go reviews for delivering high quality AI releases effectively.
Skills & Experience:
- Bachelor's degree in Computer Science, Engineering, Data Science.
- Proven success managing cross-functional AI or data platform initiatives involving data engineers, machine learning engineers, and product stakeholders
- Familiarity with common AI/ML lifecycle tools and platforms (e.g., TensorFlow, PyTorch, Azure ML, SageMaker, etc.).
- Strong understanding of modern data platforms including Databricks and Lakehouse architecture to coordinate delivery across Data Engineering, Analytics, and AI teams
- 5+ years of program management experience in software development, including experience leading AI/ML or data-focused projects
- Strong technical background and understanding of data infrastructure, model training and deployment pipelines, and AI application delivery
- Hands-on experience and/or strong understanding of modern software development practices to technically influence engineering teams in cutting edge AI/ML & Data infrastructure & development frameworks, AI model training & enhancement, Cloud technologies, automation, version control (bitbucket, Git), Containerization and CI/CD deployment pipeline optimization for AI solutions.
- Experience in the Healthcare Industry (HIPAA, HL7, FHIR) is a plus.
- Experience working in large cross functional agile programs involving 10+ teams.
- Experience in SAFe or relevant Scaled Agile methodology is highly preferred.
- Excellent problem-solving, organizational, analytical, and communication skills (written and oral).
- Ability to thrive in a fast-paced environment with a strong sense of initiative and urgency.
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