Director, Data Platform Architecture

By joining our team, you’ll be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions. You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.

Job Description Summary

The Director of Data Platform Architecture will lead the design, implementation, and operation of SRAlab’s next-generation healthcare data platform. This role is central to transforming how clinical, operational, research, and patient data are managed and integrated to enhance outcomes, improve care, and advance SRAlab’s global innovative leadership standing.

The Director will architect a secure, scalable, and interoperable data ecosystem that supports advanced analytics, AI/ML, and complex health initiatives aligned with SRAlab’s mission to revolutionize rehabilitation. This platform will enable enterprise-wide decision-making and deliver timely, high-quality, and accessible data.

Technical expertise along with collaboration is key, as the Director will work closely with interdisciplinary teams to understand and meet diverse information needs. It is important to align with data governance, deploy engineering resources and technologies, and support advanced analytics techniques such as natural language processing, machine learning, internet of things, artificial intelligence, and predictive models. All the while, advancing and growing the technical skills of the team to accomplish our goals.

This role is critical to SRAlab’s mission by enabling transformative clinical care, operational efficiency, and innovative translational research. The Director will embody SRAlab’s Mission and Philosophy through excellence, teamwork, and compassion, and demonstrate the Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service, and Core Values—Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence.

Job Description

Principal Responsibilities

Leadership & Collaboration

• Define and execute the data platform strategy aligned with the enterprise data strategy and the organizational priorities highlighting patient outcomes, innovative research and operational efficiency.

• Lead the enterprise data and analytics platform, including oversight of resource allocations to ensure efficient use of funds, alignment with operational demand, and strategic platform development to support clinical, operational, and research future growth.

• Manage, mentor, and grow data engineering teams, fostering skill development, service excellence, and strong cross-functional relationships across SRAlab.

• Collaborate with leadership across the organization to ensure data technology initiatives align with governance, data-as-a-product, data literacy, and adherence to healthcare regulations.

Innovation & Technology

• Architect a unified data platform integrating EHRs, claims, imaging, genomics, research, IoT, (sensors, wearables, robotics), financial, employee, and other third-party healthcare data.

• Design secure, HIPAA-compliant data lakehouses and real-time streaming architectures as well as frameworks for data governance, interoperability (FHIR, HL7), master data management, metadata, lineage, and data quality.

• Oversee the development of scalable data pipelines and services using modern technologies, ensuring platform reliability, observability, and cost-efficiency in cloud and hybrid environments, further optimizing major data source systems, ensuring high data fidelity and AI readiness.

• Drive automation across the data engineering lifecycle, enabling self-service analytics and data science capabilities as well as performing other responsibilities as needed in support of SRAlab’s mission and strategic objectives.

Reporting Relationships

Reports to the Vice President, Data and Analytics and manages the Platform Data Engineering team.

Knowledge, Skills & Abilities Required

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

Qualifications/Experience:

• 10+ years of experience in data architecture or platform engineering, with 2+ years in a complex technical environment.

• 2-3