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Director - Data Engineering

Innovaccer
United States - Remote, United StatesRemotefull_timeVerifiedPosted 25 Sept 2025

About the role

Analytics at Innovaccer

Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. If analytics is your game, then this team is just the right place for you.

About the Role

We are seeking a seasoned Director of Data Engineering to sit within our Analytics team and serve as the organization’s healthcare data subject matter expert (SME). This leader will partner closely with Data Engineering, Customer Delivery, and Platform teams to ensure that data assets are accurate, reliable, and aligned to healthcare industry best practices.

More than a traditional engineering role, this position calls for someone with deep hands-on experience across payer claims, pharmacy (Rx), clinical/EHR data, and hospital revenue cycle data—able to prescribe best practices, validate progress, instill discipline, and guarantee data quality at every stage.

A Day in the Life

Strategic Leadership

  • Define and evolve the data engineering standards and practices within the Analytics team.
  • Act as the healthcare data SME, ensuring adherence to payer, provider, and hospital revenue cycle standards as well as regulatory frameworks (CMS, HIPAA, HEDIS, RAF/HCC, etc.).
  • Serve as the bridge between Analytics and Data Engineering, Customer Delivery, and Platform teams, aligning on goals and execution.

Discipline & Cultural Shift

  • Establish rigor and discipline across all data engineering and implementation efforts, driving consistency in how projects are designed, executed, and validated.
  • Lead the organization through a critical cultural shift—from ad hoc, reactive processes to a systematic, quality-first approach to healthcare data engineering.
  • Embed a mindset of accountability, quality, and repeatability across teams and projects.

Best Practice Stewardship

  • Prescribe engineering and modeling best practices across diverse healthcare data sets (payer claims, Rx, clinical/EHR, hospital revenue cycle, and reference data).
  • Establish validation and data quality frameworks that safeguard accuracy, completeness, and reliability.
    Translate healthcare domain complexity into scalable, trustworthy data pipelines and models.

Operational Excellence

  • Validate progress on cross-team data initiatives, ensuring technical solutions meet both quality and business needs.
  • Promote consistency in data definitions, lineage, and governance across teams.
    Oversee testing, monitoring, and documentation practices that ensure sustainable, production-grade data assets.

Collaboration & Mentorship

  • Partner with Customer Delivery teams to ensure client implementations meet healthcare and revenue cycle data standards.
  • Collaborate with Platform and Data Engineering teams to scale infrastructure and optimize for performance.
  • Mentor team members on both technical approaches and healthcare data literacy, raising the bar across the organization.

 What You Need

  • 10+ years in data engineering and/or data management, with 5+ years in healthcare analytics leadership.
  • Extensive experience with a wide variety of healthcare data: payer claims (medical & eligibility), pharmacy (Rx), clinical/EHR, and hospital revenue cycle.
  • Proven ability to enforce data governance, discipline, and quality assurance practices at scale.
  • Excellent communicator, able to influence both technical and non-technical stakeholders.
  • Track record of thought leadership in healthcare data best practices.
  • Strong expertise in data modeling, cloud data platforms (Snowflake, Databricks, BigQuery, etc.), and modern orchestration tools.

We offer competitive benefits to set you up for success in and outside of work.

Here’s What We Offer

  • Generous Paid Time Off: Recharge and relax with 22 days of fixed time off per year, in addition to company holidays—because we believe work-life balance fuels performance.
  • Best-in-Class Parental Leave: Spend quality time with your growing family. We offer one of the industry’s most generous parental leave policies to support you during life’s most important moments.

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Company

Innovaccer

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