We are seeking a Vice President of Data Engineering to lead and drive innovative technology solutions addressing critical challenges in healthcare.
As a thought leader, you will represent the organization in the healthcare technology space, guiding strategies around data architecture, advanced analytics, AI / ML engineering, and emerging industry trends. You will spearhead business growth initiatives by developing new, innovative offerings tailored to the evolving healthcare market.
Key Responsibilities :
- Lead the architecture and delivery of scalable, enterprise-grade Multi-Agent platforms leveraging Large Language Models (LLMs) and industry standards including CMS guidelines on the Responsible Use of AI.
- Drive the strategic vision for data pipelines, data warehousing, and data lake solutions, ensuring robust, scalable, and secure data infrastructure for analytics and AI initiatives.
- Provide thought leadership on healthcare trends, data governance, data quality, AI adoption, data analytics, and digital transformation initiatives.
- Spearhead workforce transformation programs to enable seamless adoption of AI and Generative AI technologies across the organization, including upskilling in modern data engineering practices.
- Collaborate cross-functionally with business units to identify and capitalize on new growth opportunities in healthcare technology.
- Represent the company at industry events, conferences, and forums to promote the firm's technology vision and offerings.
Qualifications :
Proven executive leadership experience in software engineering, preferably within Healthcare Information Technology (HIT) or related fields.Expertise in healthcare domains such as Integrated Care, Medicare Advantage, RCM, Payment Integrity, and Value-Based Care.Strong understanding of healthcare data interoperability standards, especially FHIR, and AI applications in healthcare.Demonstrated expertise in large-scale data engineering, including experience with big data technologies (e.g., Spark, Hadoop), cloud-native data platforms (e.g., AWS Lake Formation, Databricks, Snowflake), ETL / ELT processes, and data warehousing / data lake architectures.Experience leading teams in building complex, scalable platforms using AI / ML technologies and enterprise-grade software solutions.Demonstrated ability to drive business growth through technology innovation and strategic partnerships.Exceptional communication, stakeholder management, and thought leadership skills.Passionate about workforce development and driving digital transformation at scale.Skills & Competencies :
Healthcare Information Technology (HIT)Software Development & Engineering LeadershipAI / ML in HealthcareData Engineering & Big Data ArchitecturesData Analytics & Interoperability Standards (FHIR)(ref : hirist.tech)