Vice President, Data Platforms

CodaMetrix (CMX) is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s  autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care.
Overview

The Vice President, Data Platforms is a member of the Data & Analytics team, reporting to the Senior Vice President, Data & Analytics. The Data & Analytics team consists of the Data Engineering, Business Intelligence, Customer Integrations and Data Analysis teams and is responsible for supporting all internal teams who consume data on a regular basis (Engineering, Machine Learning, Analytics, etc. and developing data products for CMX customers. The goal of the team is to develop and execute on the Data & Analytics strategy.

The Vice President, Data Platforms is responsible for maintaining the health of the Databricks Lakehouse platform and ensuring that all required data is sourced proactively and cost-effectively for CMX Machine Learning teams. They are also accountable for all data ingestion, architecture, engineering and sourcing functions.

• Own and evolve the Databricks Data Lake platform strategy, architecture, security, and operations.
• Lead all data ingestion ETL/ELT, and data integration activities from internal and external sources.
• Architect and oversee scalable data pipelines and services to source and curate high-quality datasets for machine learning, analytics, and business intelligence use cases.
• Collaborate closely with machine learning, product, data analysis, integrations and engineering teams to prioritize data needs and ensure data availability, quality, and accessibility.
• Build, lead, mentor a high-performing data engineering and data architecture team while establishing a robust sourcing function for machine learning.
• Establish data governance, metadata management and data quality frameworks.
• Optimize cost, performance, and operational efficiency of the data infrastructure.
• Ensure compliance with HIPAA, SOC2, and other healthcare data security standards.
• Develop and manage budgets, vendor relationships, and technology evaluations related to the data platform ecosystem.
• Partner with senior leadership, including the Architecture committee, to align data platform initiatives with company goals and the product roadmap.
• Work closely with engineering managers, machine learning, and implementations teams to understand the current state of data acquisition, processing, storage and usage.
• Define, document, and communicate the data management lifecycle to all internal data stakeholders and participate as a key member of the Architecture Review Council.
• Contribute as a member of the senior leadership team by driving the data initiatives for the company.

• Required
  • 10+ years of experience in data engineering, data architecture, or data platform leadership roles with 5+ years leading data platform teams.
  • Expertise managing and scaling cloud-based data platforms particularly Databricks on AWS or Azure.
  • Deep experience designing and operating large scale data lakes, real-time and batch data pipelines, and streaming architectures.
  • Strong understanding of ML and AI data sourcing needs (labeled datasets, feature stores, etc.)
  • Experience working with structured, semi-structured, and unstructured healthcare data (EHR, claims, clinical notes, HL7, FHIR)  is highly desirable.
  • Strong knowledge of modern data technologies (Spark, Delta Lake, Kafka, Airflow, dbt, etc.)
  • Solid grasp of data security, privacy, and compliance frameworks (HIPAA, SOC2, HITRUST).
  • Excellent leadership, collaboration, and communication skills, with the ability to influence across technical and business teams.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or related field; advanced degree preferred.
• Preferred
  • Startup and/or Commercial experience
  • Healthcare Technology experience
  • Databricks and/or Snowflake experience​​​​​​​

The estimated hiring range for this role is $215,000 - $255,000 (plus applicable bonus/plus equity). This hiring range could vary by region based upon local market data. Final salary is ultimately decided upon taking into account a wide range of factors, including but not limited to: skills and experience, licensure and certifications, education, specific location and dynamic market data.