VP of Data Architecture

Company Description Thunderbird Venture Capital Club focuses on educating and connecting students and alumni who are interested in the venture capital ecosystem. The club offers workshops, guest speakers, competitions, and networking opportunities to build practical skills and professional relationships. Members gain exposure to investment processes, startup evaluation, and industry trends. The environment encourages collaboration, knowledge sharing, and active participation in real-world venture capital activities.
Role Description The VP of Data Architecture is a full-time remote role responsible for designing and overseeing the club’s data architecture strategy to support operations, insights, and decision-making. This role involves defining data models that capture membership, events, investments, and engagement metrics, and ensuring data is organized for accurate reporting and analytics. The VP collaborates with leadership and functional teams to understand data needs, translates them into technical solutions, and aligns data systems with the club’s strategic objectives. Daily tasks include planning and documenting data structures, guiding software development efforts related to data, managing data governance standards, and coordinating projects that improve data accessibility, quality, and security. The VP also mentors team members, recommends tools and platforms, and continuously evaluates ways to optimize data architecture for growth and scalability.
Qualifications
Strong Architecture and Enterprise Architecture skills to design scalable, secure, and maintainable data systems.
Proficiency in Data Modeling and related techniques to structure information for analytics, reporting, and integration.
Experience in Software Development with a focus on implementing and maintaining data-centric applications or services.
Demonstrated Project Management skills to plan, coordinate, and deliver data architecture initiatives on time and within scope.
Understanding of databases, data warehouses, and cloud-based data platforms (e.g., SQL, NoSQL, data lakes, BI tools).
Ability to communicate complex technical concepts clearly to non-technical stakeholders and collaborate in cross-functional teams.
Experience or strong interest in venture capital, financial analysis, or startup ecosystems is highly beneficial.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Commitment to inclusive, ethical data practices and the ability to work effectively in a remote, multicultural environment.

Work arrangement
Yes