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# Head of Data - New York

- **Company:** Career Launch
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $210,000.0 - $330,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Data Infrastructure, Machine Learning, Data Strategy
- **Published:** October 20, 2026
- **Apply:** https://www.careerjet.com/jobad/us78ff003b37346bb305859fc52f15a678

## About the Role

* Senior experience in machine learning, data science, data engineering, analytics, or a related discipline.
 * Strong statistical, technical, and experimental judgment.
 * Experience taking data or model work from discovery into monitored production use.
 * Ability to connect technical work to revenue, customer, risk, or operating outcomes.
 * Clear communication with executives, engineers, analysts, and nontechnical partners.
 * Authorization to work in the United States for the employer without misrepresenting work status.

## Description

Career Launch is accepting applications for Head of Data opportunities with partner employers in New York. Career Launch works with experienced professionals seeking full-time roles and gives partner recruiters one profile to review across relevant searches.
The specific employer, team, work arrangement, interview process, and final compensation are disclosed before a candidate is submitted to an employer.
The role
These searches are for senior professionals who can build data and artificial intelligence capabilities that improve products, decisions, and operating performance. The strongest candidates combine functional depth with ownership, executive communication, and a record of measurable results.
What you may own

 * Own data platform, analytics, governance, and organizational data strategy.
 * Set the technical direction for data, machine learning, or applied artificial intelligence initiatives.
 * Turn business priorities into measurable models, data products, experiments, and production systems.
 * Establish standards for data quality, evaluation, monitoring, privacy, and responsible model use.
 * Partner with engineering, product, security, and business leaders on implementation and adoption.
 * Communicate tradeoffs, limitations, and results clearly to technical and executive audiences.
 * Develop team capability through hiring, mentoring, documentation, and repeatable operating practices.