• Own enterprise client relationships end to end, serving as the primary point of contact for senior stakeholders, including growth leaders, analytics leaders, and data science teams; ensure satisfaction, retention, and expansion across your portfolio. • Partner closely with client data scientists as day-to-day counterparts, aligning on experiment design, data pipelines/requirements, and interpretation standards to accelerate time-to-insight and decision-making. • Co-design experimentation roadmaps with customers that reflect their media strategy, operating goals, and test capacity; guide them toward continuous experimentation programs. • Shepherd the full experimentation lifecycle — from hypothesis and design to implementation, QA, readout, and action planning — translating technical findings into clear, executive-ready recommendations. • Advise on measurement methodologies, best practices, and trade-offs — including MMM calibration and cross-system alignment — helping customers connect business questions with Haus product capabilities within their broader measurement stack. • Identify risks early and manage escalations with full ownership, while orchestrating the right internal Haus resources to drive resolution. • Systematize excellence by creating collateral, playbooks, and workflows that balance quality with scale; contribute to team knowledge-sharing and coaching.