Senior Manager, Data Engineering & Analytics at UpClear

Compensation

$150,000 – $200,000/yr

Setup: Hybrid
Location: New York, New York
Type: Full-time
Level: Senior
Posted: May 27, 2026

Description

UpClear is seeking a Sr. Manager, Data Engineering & Analytics to define and execute the company's data strategy, establish governance and quality standards, and drive data-driven decision-making. This role involves designing and operating scalable data platforms, mentoring engineers, optimizing pipelines, and ensuring reliable data accessibility. The ideal candidate will blend leadership and hands-on execution, partnering with business and product leaders to transform data into actionable insights.

Required Skills

Data Strategy
Data Governance
Data Quality
Data Platforms
ETL/ELT
Data Warehouse
Cloud Data Tools
SQL
Programming Languages
dbt
Snowflake
Azure Data Factory
Databricks
Airflow
Metadata Management Tools
Analytics Workflows
BI Tools
Power BI
Tableau

Additional Information

Required Previous Experiences: 8+ years of experience in data engineering, with 3+ years in a leadership or management role.
Proven experience building and scaling data teams and platforms from early stage to maturity.
Experience managing both data engineers and analysts, or working across both functions.
Preferred Qualifications: Strong understanding of modern data stack technologies (e.g., Fabric, dbt, Snowflake, Azure Data Factory, Databricks, Airflow).
Expertise in SQL and at least one programming language (Python, C#, etc.).
Experience with data governance, lineage, and metadata management tools.
Strong understanding of analytics workflows and BI tools (Power BI, Tableau)
Professional experience integrating in-house AI models and API calls to foundational models (OpenAI, Anthropic).
The ability to translate technical data models into business value.
Hands-on mindset: comfortable contributing technically while shaping the strategic direction.