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Vice President - Data Engineering

EmidsBengaluru, Karnataka, India

26 days ago

Job description

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 Data engineering, preferably within Healthcare 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)

Data Engineering Leadership

AI / ML in Healthcare

Data Engineering & Big Data Architectures

Data Analytics & Interoperability Standards (FHIR)

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Vice President • Bengaluru, Karnataka, India