About Haus
Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
The Role
At Haus, we believe that data is the lifeblood of innovation. As a Data Governance Manager, you’ll take ownership of shaping and enforcing the policies, standards, and frameworks that ensure data integrity and quality across our teams. This critical role ensures we are compliant with regulations while enabling seamless data access for our teams to fuel decision-making.
You’ll collaborate cross-functionally with Science, Engineering, Product, and Compliance to build and refine our data governance strategy, drive adoption of best practices, and support the development of a strong data culture.
ResponsibilitiesLead the development and implementation of data governance frameworks and policies.Ensure regulatory compliance across data handling and storage.Collaborate with stakeholders to drive data stewardship and accountability.Maintain data cataloging, lineage, and privacy protocols.Support data quality initiatives to optimize operational and strategic use of data.Qualifications5+ years of experience in data governance, data management, or related fields.In-depth knowledge of data privacy laws and compliance (GDPR, CCPA, etc.).Strong leadership and communication skills to influence diverse teams.Proven ability to manage large-scale data governance initiatives.Experience with data governance tools and platforms.Bonus PointsEarlier stage startup experience.Experience with highly heterogeneous data environmentsExperience with financial data classificationWhat We OfferCompetitive salary and early startup equityTop of the line health, dental, and vision insurance401k planProvide you with the tools and resources you need to be productive (new laptop, equipment, you name it)Small team with big impact on the overall outputDiversity in Qualifications
At Haus, we recognize that talent and expertise come from diverse experiences. We value a broad spectrum of backgrounds and are open to candidates who bring equivalent experience, even if it doesn't align perfectly with every listed technical requirement. If you're passionate about making a difference and have a unique set of skills or experiences, we encourage you to apply and share your unique journey with us.
Remote Friendly, Hybrid Compatible
The location is listed as Mountain View, CA for compliance reasons, but we're remote friendly with hubs in the SF Bay Area, Greater Seattle, and NYC with optional weekly in-person days at a hub's local Wework.
Company Values
The point of our values is to help our team make difficult choices.
Aim high: We choose lofty goals that might fail over safe goals that always succeed.
Block the puck: We prioritize our team’s success over our own individual comfort.
Communicate directly: We all give feedback to each other, not just managers to reports.
Done is better than perfect: We take small inexact steps rather than large impeccable leaps.
Experiment: We try new ideas rather than repeating known formulas.
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
