Director – Data Engineering

8+ years of experience in data leadership roles, preferably within healthcare, fintech, or payments industries.
Hands-on experience with SQL, Python, or other programming languages for data processing and analytics.
Expertise in data architecture, engineering, and analytics, with experience in modern cloud and data stack technologies (e.g., Snowflake, Redshift, Databricks, dbt, Airflow, Kafka, KPI metrics, reporting. Sigma, etc.).
An understanding of healthcare payment ecosystems and experience integrating with systems like EpicHealth, Flywire, Peach, and major hospitals and healthcare providers is definitely a plus.
Experience in machine learning and predictive analytics applied to financial or healthcare data is also a plus.
Knowledge of regulatory and security frameworks relevant to healthcare data and financial services compliance, including protections around patient payment information and credit card security.
Excellent communication and stakeholder management skills, with the ability to translate complex data insights into business impact.
A strategic mindset with the ability to execute and deliver measurable results in a fast-paced environment.
Passion for driving impact through data and analytics in the healthcare and fintech space.

Lead and grow the data team in our San Francisco office, ensuring a high-performing data function that supports PayZen’s mission.
Develop and execute a comprehensive data strategy, integrating with Flywire, EpicHealth, Peach, major hospitals, and other key healthcare providers.
Oversee data architecture, pipelines, and governance to ensure accuracy, security, and compliance with healthcare regulations (e.g., HIPAA, PCI-DSS) and financial services compliance related to patient payment information, personally identifiable information (PII), and PayZen-provided credit card data.
Build and scale data platforms that enable real-time and batch processing of patient payment data across multiple healthcare providers.
Deliver business intelligence and predictive analytics to drive decision-making for leadership and improve patient financial outcomes.
Collaborate closely with Product, Engineering, and Operations to ensure data-driven insights power key business decisions.
Establish KPIs and performance metrics to measure impact and inform strategy.
Ensure scalability of data infrastructure to support business growth and regulatory compliance.

An understanding of healthcare payment ecosystems and experience integrating with systems like EpicHealth, Flywire, Peach, and major hospitals and healthcare providers is definitely a plus.
Experience in machine learning and predictive analytics applied to financial or healthcare data is also a plus.