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Leads ambiguous, large-scale data science initiatives across multiple teams; sets strategic direction, manages dependencies, establishes organization-wide methodologies, and translates research into scalable solutions. Develops advanced data science systems using Python, SQL, deep learning, NLP, and MLOps. Mentors senior data scientists, enforces engineering best practices, and advises executive leadership on technical and strategic decisions.

Leads ambiguous, large-scale data science initiatives across multiple teams; defines organizational methodologies and best practices; translates research into scalable solutions; designs MLOps pipelines for model deployment and monitoring; mentors senior data scientists; and advises executive leadership on strategic and technical decisions.

Lead Compass’s data product organization across internal enablement and external commercial products. Own product vision, strategy, P&L, monetization, value engineering, data ethics, UX quality, executive partnerships, and team development. Transform data capabilities into agent productivity tools, institutional APIs, AI training datasets, and economic research products while improving EBITDA, adoption, and infrastructure efficiency.

Leads Compass’s internal and external data product portfolios, owning product vision, strategy, P&L, monetization, value engineering, data ethics, and executive partnerships. Builds agent productivity and operational tools while commercializing aggregate data through APIs, AI training datasets, and economic research. Establishes a data-as-a-product culture, elevates visualization and UX standards, recruits product leaders, and converts the data organization into a measurable EBITDA and revenue contributor.

Lead end-to-end development, validation, and deployment of predictive models and algorithms. Conduct rigorous data-driven research, translate strategic business goals into analytical frameworks, communicate complex findings to executives and technical teams, and mentor data scientists. Partner with business and engineering leaders to deliver scalable, high-impact solutions for strategic planning, market analysis, resource allocation, and product innovation.

Lead the end-to-end development, validation, deployment, and productionization of large-scale predictive models. Conduct advanced data-driven research, solve ambiguous business problems, and translate business goals into analytical frameworks. Partner with senior stakeholders and engineering leaders to deliver strategic insights, support planning and product innovation, communicate complex findings, and mentor data scientists while maintaining rigorous technical and engineering standards.

Lead end-to-end predictive modeling, data-driven research, and production machine learning initiatives. Partner with senior stakeholders and engineering leaders to solve ambiguous business problems, inform strategic planning, and drive product innovation. Communicate technical findings to executive and technical audiences, architect scalable analytical solutions, mentor data scientists, and uphold rigorous data science, software engineering, and code quality standards.

Serve as primary account manager for a portfolio of agents: onboard and train customers, drive adoption of Compass tools, provide marketing support, coordinate with internal teams, support projects and office openings, mentor coordinators, and deliver high-touch customer service to grow agent success.

Coach, support, and retain a portfolio of Compass real estate agents by providing coaching, business planning, platform training, and strategic/operational guidance. Lead office meetings, relay market intelligence, drive adoption of Compass tools and programs, assist with pitching new business, and monitor key revenue metrics while promoting a positive office culture.

Lead enterprise internal and executive communications to translate business strategy into clear messaging. Partner with senior leaders on major announcements, product launches, and organizational change; create speeches, presentations, emails, FAQs, and manager resources; equip leaders to communicate effectively; and improve communications using new approaches, including AI-enabled tools, to boost employee engagement and alignment across the company.