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Systems Development Manager -Data Platform & AI Engineering Manager

Johns Hopkins Medicine • Full-time • Baltimore, Maryland, United States • 3d ago

Systems Development Manager-Data Platform & AI Engineering Manager

Req#:656457

Monday-Friday (8:30-5)

Hybrid/Remote

In the office 1-2 days a month on a regular basis with additional days for Special Projects and Go Lives.

Johns Hopkins

750 E. Pratt St., 5th Floor

Baltimore, MD 21202

Johns Hopkins Medicine is building a new generation of AI and data-powered tools that accelerate discovery, improve clinical decision-making, and reduce operational burden across the health system. As a Manager within the Platforms & Integrations team, you will lead engineering efforts at the intersection of applied AI and modern cloud data platforms—powering precision care, accelerating discovery, and enabling scalable software solutions for one of the world’s premier health systems. This is a high-impact role for a technically sophisticated leader who thrives in a collaborative, mission-driven environment.

General Position Summary: The Data Platforms & AI Engineering Manager is a hands-on technical leader responsible for growing a small team of engineers delivering scalable, production-grade systems for the dual goals of clinical research data enablement and AI applications. You will guide the development of AI-powered clinical decision support tools, secure and scalable research data pipelines, and a reimagined enterprise analytics platform built on Microsoft Fabric and Azure Databricks. The ideal candidate combines deep technical skill with a focus on execution—able to design, build, and coach in equal measure.

Key Responsibilities:

Lead, mentor, and manage a team of software and platform engineers responsible for AI solution development, MLOps infrastructure, and data platform administration.
Drive the successful delivery of applied AI projects, including LLM-enabled applications, clinical decision support tools, and patient cohort analytics.
Oversee the development and enhancement of cloud-based data platforms, ensuring reliable, secure, and performant access to health system and research data.
Partner with enterprise data engineering and analytics teams to advance our platform strategy, including adoption of Microsoft Fabric and Databricks for modern ELT, mirroring, and data productization.
Own and evolve the team’s engineering practices, including source control workflows, CI/CD pipelines, IaC, observability, testing, and release processes.
Partner with your Enterprise IT Architect team member on architecture decisions related to AI/ML systems, data platforms, and APIs, balancing performance, maintainability, and security.
Support responsible AI development by contributing to risk assessments and governance reviews.
Collaborate closely with IT, research, clinical, and vendor partners to translate needs into buildable technical plans.
Support team growth and cohesion, and enable a culture of collaboration within and outside your immediate team.

Experience with the following is strongly preferred:

Cloud data platforms including Microsoft Fabric, Databricks, and associated Azure services (e.g., OneLake, Delta Lake)
Healthcare data environments, including Epic Cogito, FHIR, and OMOP
Workflow orchestration tools (e.g. Azure Data Factory, Apache Airflow)
LLMOps and MLOps platforms (e.g. MLflow, PromptFlow)
Generative AI and NLP tools (e.g. Azure OpenAI, John Snow Labs)

Experience with the following is a plus:

Enterprise cloud platforms, especially Azure, including experience with cost optimization, RBAC, and resource management
Data science methodologies, including supervised/unsupervised learning, model evaluation, and statistical inference
Feature engineering and data productization, including feature stores or reusable data assets
API management and integration platforms such as MuleSoft.

Education: Work requires a professional level of knowledge in Information Systems as acquired through completion of a Bachelor's Degree in Information Systems, Business Management, or related field. A Master's Degree is preferred.

Work Experience: Work requires demonstrated a minimum of 7 years of experience with computer systems and applications, as well as a minimum of 5 years of planning and managing projects.

Salary Range: Minimum 53.55/hour - Maximum 93.74/hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility.

In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.

JHM prioritizes the health and well-being of every employee. Come be healthy at Hopkins!

Diversity and Inclusion are Johns Hopkins Medicine Core Values. We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.

Johns Hopkins Health System and its affiliates are drug-free workplace employers.

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