Head of Data, Private Investor

About The Role: We are looking for a Head of Data, Private Investor to help define the future of our business unit by making our private-company insights the most trusted in the market. You'll own data methodology, quality, and ultimately accuracy, leading the work that gives investors confidence in how private AI & Software companies are truly performing. The Private Investor product team is a small but scaling org within an org, building a product at a rapid pace; our Head of Data will be a leader who can take a nascent data product with high promise and build it into a market-leading source of truth. This means getting your hands dirty in the early days with a small team; digging into and redefining existing business logic that stitches together numerous first and third-party datasets, building on our benchmarking data to drive better accuracy, and as the function scales, hiring, mentoring, and managing a high-caliber team of data analysts. We are looking for a leader who is energized by both ends of that arc: someone senior enough to set strategy and build an org, but who still wants to spend time deep in the data and lead from the front. This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours. As Our Head of Data, Private Investor, You Will: Own trust of our AI & Software data end-to-end. This means you'll be the single accountable owner for data coverage and accuracy, determining where data quality (breadth, depth, accuracy, speed) is sufficient, where it's not, and then improving on these axes where we can based on the numerous data sources we have in-house. Set data strategy and prioritization. Help determine which data sources and enrichment streams we should invest in, both internal and external. Optimize the accuracy / coverage / cost / complexity tradeoffs for investing in those datasets, and optimize business logic for how these sources will blend into our existing data assets. This will involve partnering closely with our partnerships, product, and data engineering teams. Design and maintain a world-class QA system. Build truth data benchmark sets and a QA framework that ensure accuracy is continuously monitored and improved, first across thousands, later across hundreds of thousands, and eventually across millions of companies under coverage. Scale the data function from 1 10. Start as a player-coach with a small team of a few analysts, then build a team and culture that fosters data excellence at scale. Contribute to cutting-edge uses of AI in data. Partner with upstream AI and Data Engineering teams to drive scaled entity resolution via novel AI-tagging systems, ensuring source data accuracy is systematically improving. Lead pipeline business logic design. Work hands-on with the data pipelines to author refactor specs, define panelization and outlier handling, reduce data lag, and help create maintainable pipelines and workflows that balance scale and coverage against downstream accuracy and depth. Serve as the data authority for our private investor customers. Lead accuracy escalations and investigations, support sophisticated customer diligence, and translate data methodologies and outputs into digestible end-customer communication that builds trust. You Are Likely To Succeed If:8+ years in data-intensive roles, with a track record owning data quality and methodology for a data product, ideally one used by investors or other highly analytical end customers. Experience building and scaling a data function, growing a team from early stage to meaningful scale. You are a true player-coach, excited to do the work yourself, but equally able to build and develop new analysts to drive leverage. Deep technical fluency and hands-on instincts. You write SQL, investigate data anomalies to root cause, and can design, pressure-test, or critique pipeline architecture. Importantly, you still enjoy getting close to the data. Experience applying AI / LLMs to messy data problems, such as tagging, classification, entity resolution, or enrichment, with a practical understanding of how to evaluate, improve, and govern these systems. A "fear the data" mentality. You're naturally skeptical of data quality and you know where quality standards need to be uncompromising, but you balance that with a bias for delivering to customers and can make the hard judgment calls of when the output is "good enough".Strong prioritization instincts, with the judgment to weigh and make difficult tradeoff decisions across accuracy, cost, speed, and customer impact. Clear communication skills. You can take ambiguous or amorphous data challenges and succinctly describe the root issues, then explain (written, verbal) what needs to be done next and why. Comfort with customers, and a bonus if you have experience working with investor clients. You are comfortable engaging directly with end users and can handle sophisticated client conversations covering methodology and data trust.

What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! Base Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $230,000 - $250,000, with eligibility for an annual performance-based bonus of up to 15% base salary. Final compensation may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, and internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice