Vice President of Data Architecture

Company Description Inventure Group is a medical device venture studio focused on turning bold ideas into breakthrough medtech technologies. The organization is built around engineering excellence and operational execution, emphasizing deep technical rigor in advancing early-stage medical device innovation. Through a fully integrated ecosystem of cross-functional experts and state-of-the-art infrastructure, Inventure Group accelerates the journey from concept to clinical readiness and beyond. Team members collaborate closely across disciplines, gaining exposure to cutting-edge devices and high-impact projects. The environment is fast-paced, innovation-driven, and geared toward delivering meaningful clinical outcomes.
Role Description The Vice President of Data Architecture is a full-time remote role responsible for defining and leading the data architecture strategy across Inventure Group’s medtech portfolio. This role oversees the design and implementation of enterprise data models, data integration frameworks, and analytics platforms that support product development, clinical insights, and operational decision-making. Day-to-day responsibilities include partnering with engineering, software development, product, and clinical teams to understand data needs; designing scalable data solutions; and establishing standards for data governance, quality, security, and interoperability. The Vice President of Data Architecture will guide technical teams in building data pipelines and services, review architectural designs and code where relevant, and ensure alignment with regulatory and compliance requirements in the medical device domain. This role also involves mentoring team members, managing cross-functional initiatives, and communicating strategy and outcomes to senior leadership and stakeholders.
Qualifications
Strong expertise in Architecture and Enterprise Architecture, with a track record of designing scalable, secure, and resilient data and system architectures in complex, regulated environments.
Hands-on proficiency in Data Modeling, including conceptual, logical, and physical models, and experience with data warehousing, relational and non-relational databases, and analytics-oriented schemas.
Background in Software Development, with the ability to collaborate effectively with engineering teams on data services, APIs, integration patterns, and cloud-native solutions.
Demonstrated Project Management skills, including leading cross-functional initiatives, prioritizing roadmaps, managing timelines and risks, and driving execution from concept through deployment.
Experience in data governance, data quality, security, and compliance frameworks, ideally within healthcare, medtech, or other regulated industries.
Proficiency with modern data platforms and tools (e.g., cloud data warehouses, ETL/ELT tools, streaming technologies, and data orchestration frameworks).
Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable guidance for technical and non-technical stakeholders.
Proven leadership experience managing and mentoring technical teams in architecture, data engineering, or analytics functions.
Bachelor’s or Master’s degree in Computer

Work arrangement
Yes