Ian Mulholland
I build and scale programs, products, and systems across technology and social impact. My work spans product development, philanthropy and grantmaking, startup and accelerator programs, data infrastructure, and international development. I’m particularly drawn to ambiguous problems where the answer requires bringing together people, technology, and operations to build something that works—and can keep working after I leave.
Work Experience
- Built and scaled VBB’s accelerator model across founder selection, programming, mentorship, funding, partnerships, and impact measurement, growing participation from 60 to 147 entrepreneurs.
- Lead grantmaking and investment processes, including due diligence, founder evaluation, funding decisions, agreements, and portfolio monitoring.
- Built partnerships with universities, investors, mentors, and technology organizations to expand the resources available to founders.
- Develop the organization’s technology and data infrastructure, including CRM, founder-support systems, measurement, and AI-enabled workflows.
- Led development and implementation of digital products supporting surgical education across international markets, working across engineering, design, research, nonprofit, and clinical stakeholders.
- Managed products from problem definition and requirements through development, testing, launch, adoption, and measurement.
- Built documentation, training, and operational systems that enabled partners and internal teams to adopt new technology and AI-enabled tools.
- Used product and program data to identify user needs, evaluate adoption, and guide product decisions.
- Managed cross-functional teams of engineers, data scientists, and healthcare professionals to deliver solutions improving telehealth access and outcomes for 100,000+ patients.
- Drove product strategy for a machine learning initiative, scoping, building, and deploying a multi-armed bandit model that reduced patient wait times and improved satisfaction scores by streamlining telehealth service delivery.
- Led a comparative policy study on recidivism interventions; presented findings to policymakers and nonprofits, influencing a countywide program launch in Alameda County.
- Acted as liaison between technical and non-technical teams, translating data insights into program decisions, aligning engineering, research, and policy stakeholders.
- Managed impact measurement and reporting across a portfolio of 160+ social enterprises and worked directly with entrepreneurs to understand their progress and needs.
- Built grant application and evaluation infrastructure supporting 4,000+ applications annually, including a normalized evaluation methodology later adopted by external partners.
- Built Salesforce infrastructure and dashboards connecting organizational, funding, engagement, reporting, and impact data.
- Conducted grant due diligence and worked across MIT Legal and Finance on compliance, agreements, payment documentation, and disbursements.
- Designed and delivered Data Bytes, helping entrepreneurs use data to strengthen their organizations and demonstrate impact.
- Launched and scaled a technology-enabled social-security program serving 25,000+ women annually and expanded implementation to 35 additional communities.
- Built monitoring, evaluation, and reporting systems for programs reaching 50,000+ women.
- Led SEWA’s first CRM implementation and helped establish the workflows, data infrastructure, and staff capacity needed to operate increasingly sophisticated digital programs independently.
Ventures Beyond Borders
Managing Director2026-Present
Lead strategy and operations for a nonprofit fund and accelerator supporting refugee and conflict-affected entrepreneurs across North America and Europe.
Intuitive Foundation
Technology & Product Manager2023-2026
Led technology and product initiatives for a global health foundation expanding access to surgical education.
Possibility Lab
Graduate Student Researcher2022-2023 The Possibility Lab brings together public policy experts who are committed to evidence-based policymaking and who use quantitative, participatory, and experimental methods to understand the potential of new ideas to improve people’s lives.
I worked at Possibility Lab as a Graduate Student Researcher and was the data science lead for several projects:
MIT Solve
Data & Community Impact Program Officer2018-2021
Worked across grantmaking, data, impact measurement, and entrepreneur support for MIT’s global social-innovation program.
SEWA Bharat
Digital Transformation & Impact Program Lead2015-2018
Helped build the digital and measurement infrastructure of a grassroots organization serving women across India.
Selected Consulting & Advisory Work
I believe that real-world challenges are a catalyst for learning. I am working as an independent consultant for a few months to explore and expand my skills and interests. In this role, I engage in human-centered impact projects, enabling me to expand my expertise while making a positive difference. As an independent consultant, I thrive on diverse projects spanning multiple domains, including project management, cybersecurity, product development, and data science. This breadth of experience allows me to continuously deepen and broaden my skill set, embracing new technologies and methodologies to deliver results.
Catalyze Challenge
Grant & Program ConsultantDeveloped AI-assisted evaluation and predictive funding models supporting $13M+ in grant allocations, with a focus on identifying disparities and improving fairness and consistency in funding decisions.
Newman’s Own Foundation
Grant Administration ConsultantBuilt Salesforce NPSP infrastructure connecting grant records, reporting requirements, impact measurement, portfolio reporting, and CyberGrants data.
200 Million Artisans
Chief ConsultantHelped launch India’s first open-innovation grant program for artisans, designing its application, evaluation, and scoring infrastructure.
The Housing Collective
Product/Project LeadLed a multidisciplinary team of developers, designers, and policy experts to build Connecticut’s first data-visualization platform for evaluating homelessness policies.
