20+ years of experience spanning nonprofits, start-ups, and tech.
My visual art practice is a parallel way of working through the same questions that shape my professional work: how systems succeed or fail to organize complexity, how meaning emerges from structure, and how people experience what is built around them.
This is not separate from my technical work. It is the same inquiry in a different medium.
Foundations in Community, Arts, and Evaluation
Early work grounded in community-based organizations, arts education, and program evaluation. This period focused on understanding how organizations operate at a human level—how programs are designed, funded, evaluated, and experienced by the communities they serve.
What this phase shaped
- → Programs succeed or fail based on how well they reflect real community needs
- → Measurement and evaluation shape how organizations make decisions
- → Operations, funding, and programming are deeply interconnected systems
- Conducted cross-departmental analysis to identify reporting and evaluation gaps
- Developed policy and procedure recommendations for compliance and data standards
- Supported internal performance monitoring across multiple service teams
- Built data collection frameworks to assess program outcomes
- Improved volunteer retention through structured engagement insights
- Clarified program value propositions for external stakeholders
- Coordinated logistics for major events including Louder Than A Bomb
- Built partnerships with civic and community leaders
- Supported fundraising and program sustainability efforts
- Maintained donor database and reporting workflows
- Drafted grant proposals, LOIs, and final reports
- Ensured compliance with funding requirements
- Led exhibit evaluation processes and visitor research
- Coordinated cross-departmental operational support
- Developed evaluation frameworks for staff and programs
Transition into Data, Analytics, and Systems Thinking
Shift into data and analytics work, focusing on measurement, reporting, and system performance. This phase marked a transition from program-level work to platform-level thinking—understanding how data shapes decisions, operations, and organizational strategy.
What this phase shaped
- → Data definitions and metrics directly influence organizational behavior
- → Automation and systems design can unlock significant operational efficiency
- → Analytics is most valuable when tied to decision-making, not just reporting
- Automated reporting workflows saving 120+ hours per month
- Defined KPIs and dashboards with product and engineering teams
- Improved visibility into platform performance and client outcomes
- Strengthened relationships between corporate, nonprofit, and civic leaders
- Refined messaging and outreach strategies
- Supported organizational positioning and engagement efforts
- Produced fundraising gala generating $65K+ in revenue
- Secured multiple local news features for organizational visibility
- Co-led grant writing and donor engagement efforts
Engineering, Product, and Platform Development
Deep work in engineering and product development, focusing on building scalable systems and platforms. This phase centered on translating user needs, data, and business goals into technical systems that could operate reliably and at scale.
What this phase shaped
- → Systems must be designed with both technical and human constraints in mind
- → Product decisions are only as strong as the data and assumptions behind them
- → Platform architecture determines long-term scalability and flexibility
- Led onboarding and implementation for enterprise clients
- Translated technical capabilities into usable workflows
- Informed product decisions through customer insights
- Developed AWS-based microservices and data pipelines
- Supported real-time NLP platform for inclusive hiring
- Ensured reliability through testing, monitoring, and deployment practices
Leadership, Strategy, and Systems Design
Shift into leadership roles focused on aligning product, engineering, and data systems with organizational strategy. This phase emphasizes decision-making structures, governance, and building systems that support execution at scale.
What this phase shaped
- → Organizational alignment is a systems design problem
- → Governance determines how data and technology are actually used
- → Execution clarity is more important than strategy alone
- Owned roadmap for data storage, governance, and compliance systems
- Reduced dataset review effort by 58% through pipeline design
- Established metric review processes for platform performance
- Reintroduced product management discipline and prioritization frameworks
- Led platform redesign and migration strategy
- Established OKRs linking product delivery to organizational outcomes
- Defined data governance frameworks aligned with organizational goals
- Advised on data architecture for AI integration
- Led cross-functional strategy across research, design, and engineering