[Hiring] Head of Data, Private Investor @YipitData

Role Description

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.

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.
• Set data strategy and prioritization.
• Design and maintain a world-class QA system.
• Scale the data function from 1 → 10.
• Contribute to cutting-edge uses of AI in data.
• Lead pipeline business logic design.
• Serve as the data authority for our private investor customers.

Qualifications

• 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.
• Deep technical fluency and hands-on instincts.
• Experience applying AI / LLMs to messy data problems.
• A “fear the data” mentality.
• Strong prioritization instincts.
• Clear communication skills.
• Comfort with customers, and a bonus if you have experience working with investor clients.

Requirements

• You write SQL, investigate data anomalies to root cause, and can design, pressure-test, or critique pipeline architecture.
• You still enjoy getting close to the data.
• You’re naturally skeptical of data quality and you know where quality standards need to be uncompromising.
• You can take ambiguous or amorphous data challenges and succinctly describe the root issues.
• You are comfortable engaging directly with end users and can handle sophisticated client conversations covering methodology and data trust.

Benefits

• Flexible work hours and flexible vacation.
• A generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.
• 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.
• The compensation package also includes equity.