Sr. Manager Data Engineering & Analytics

POSITION OVERVIEW

We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high-performing data practice. You’ll design and operate scalable data platforms, establish governance and quality standards, and partner with business and product leaders to turn data into decisions. This role blends leadership and hands‑on execution. You’ll mentor engineers while shaping architecture, optimizing pipelines, and driving reliable, accessible data across the company.

We are not able to provide sponsorship for employment authorization at this time. This role requires 4 days on‑site collaboration per week. You must be able to commute to our West 22nd Street office in New York.

• Define and implement the data strategy, architecture, and roadmap aligned with company objectives.
• Establish best practices for data management, quality, and governance across the organization.
• Partner with business, product, and engineering leaders to translate data into actionable insights and scalable systems.
• Build, lead, and mentor a multidisciplinary data team (data engineering, analytics).
• Design, develop, and maintain scalable data architectures and pipelines (including data warehouse, ETL/ELT, and data models).
• Oversee data visualization and reporting infrastructure to ensure reliable, consistent insights across teams.
• Bridge data engineering and analytics functions, ensuring alignment between raw data pipelines and business intelligence outputs.
• Oversee integration of disparate data sources into unified and reliable data platforms.
• Ensure high performance, availability, and accuracy of data systems across environments and regions.
• Remain hands‑on with key technologies (SQL, cloud data tools) as needed to accelerate implementation.
• Evaluate and introduce new technologies and practices that enhance data quality, governance, and observability.
• Implement robust data governance frameworks, policies, and compliance standards.
• Establish and monitor data quality KPIs and SLAs.
• Support operational and executive reporting initiatives with clean, well‑modeled data.

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field.
• 8+ years of experience in data engineering,```json {