Data Engineering Leader

10 hours ago

Bengaluru, Karnataka, India beBeeHealthcare Full time US$ 1,80,000 - US$ 2,50,000

We are seeking a visionary leader to drive innovation in healthcare technology.

As a thought leader, you will represent our 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 offerings tailored to the evolving healthcare market.

Key Responsibilities :

- Lead the architecture and delivery of scalable, enterprise-grade 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 organization at industry events, conferences, and forums to promote our technology vision and offerings.

Requirements :

- 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 Leadership

- AI/ML in Healthcare

- Data Engineering & Big Data Architectures

- Data Analytics & Interoperability Standards (FHIR)

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