San Francisco, California, United States
I build experiences for complex ecosystems and communities. My dedication to healthy platforms is rooted in my awe for the Wikimedia movement and my experience on Obama for America and in the fast-paced political analytics space.
I am the Senior Director of Product working with the teams responsible for the user experience of editing and reading Wikipedia in the web browser and in the Android and iOS apps, and with the teams advancing our Future Audiences initiatives in generative AI and on social platforms. Our teams build products for a thriving and complex community ecosystem, bringing knowledge to new audiences around the world and in more languages than any other platform.
I worked with the Web, Editing, and Growth teams, which trace the journey of being a Wikipedia reader, to a new contributor, to a community member.
The Civis Data Science Platform is SaaS for data science teams who need to make an impact. Built by data scientists, for data scientists, it gives teams the tools they love and the cloud scale they need to deploy applications that underpin their businesses with data-driven decisions. Civis Platform was named a "Strong Performer" in the Q3 2018 Forrester Wave for Notebook-Based Predictive Analytics And Machine Learning Solutions. As Director of Product, I worked with designers, engineers, and Civis data scientists to develop the strategy, functionality, and messaging for the cutting edge, transformational Civis Platform. - I developed a deep understanding of our users, their stakeholders, and their challenges. - I created product roadmaps rooted in true principles about our users and marketplace. - I opened avenues for data science innovation to improve our software. - I unified cross-functional groups to execute fiercely on game-changing features. - I combined the quantitative with the qualitative to bring the next frontier into focus.
Began the Civis Analytics product operation by launching the Civis Data Science Platform as the flagship Civis software product. Responsible for all aspects of the product management cycle -- from user research to design to testing and rollout.
During my first year at Civis, I managed the Data Science R&D team in partnership with the VP of Data Science, ensuring that Civis blazed new territory in methods. - Developed data science research priorities for a 15 person R&D operation, divided into machine learning, engineering, and natural language processing teams. - Defined mission, structure, and process as the R&D team doubled in size over the course of a year. - The R&D team’s development accomplishments include an automated machine learning framework based on open source Python and R libraries.
Catalist is a civic-oriented 45 person company that analyzes and distributes data and strategy for progressive organizations. I oversaw the growth of our analytics department into a seven-person team of data scientists who synthesize valuable data streams, use them to prototype models, and build those prototypes into lasting products. - Extensive experience using big data analytics to transform individual-level targeted outreach. - Managed research roadmap and staff by communicating with subscribers to gather ideas and form priorities. - Broke new ground in digital targeting by applying of civic data to online ad campaigns. - Implemented scientifically sound randomized experiments to improve treatment responsiveness. - Led the effort to design and roll out software that encourages clients to contribute data to Catalist. - Designed interlocking systems that standardize millions of pieces of raw incoming transaction data into a unified analytics platform, scaling responsive analytics to over a hundred clients. - Employed large scale Vertica, Oracle, and Postgres databases and R statistical software to apply targeting models to over 200 million records used broadly across the subscriber community.
Over the course of three months, built systems in Salesforce and Microsoft Access to manage the data for inauguration tickets, donations, and volunteers. Coordinated a team of four staff and volunteers to develop and run these interlocking systems in the very fast paced environment leading up to the largest presidential inauguration in history.
Promoted efficient voter contact by designing targeting and statistics projects with field, constituency, and voter protection departments. Disseminated program insight through automated daily reports run on millions of transactional and canonical person records.