SVP Healthcare Transformation & Delivery

Role Summary:

You are the dual-threat leader responsible for both the "Strategy" and the "Factory." You will sit with the Client Board to design AI-driven care models and then lead the 1,200-person team to build the ETL pipelines and Dashboards that deliver them.

Key Responsibilities:

• Strategic Architecture:

  Design and own the roadmap for integrating

  EMR, HIS, and External Payer Data

  into a centralized analytics hub.

• Delivery Execution:

  Manage the daily throughput of teams using

  Talend, Informatica, and SQL

  to ensure data quality and timeliness.

• Tech-Enabled Operations:

  Drive the adoption of

  Power Automate

  and

  Custom Scripts

  to reduce manual effort in RCM and Claims processing.

• Security & Risk:

  Act as the ultimate owner for data privacy, ensuring the entire GCC operates within a

  HIPAA-compliant cloud

  with

  MFA and Encryption

  .

Required Technical & Functional Skills:

1. Healthcare Data Domain:

• Mastery of the data flow across

  EMR, HIS, LIS, RIS/PACS

  , and

  Billing Systems (ERP)

  .
• Experience leveraging

  External Data Sources

  (Claims, Payer Data, Public Health) for broader insights.

2. Analytics & Tech Stack:

• Storage & Compute:

  Proven experience managing deliveries on

  Snowflake, Azure Data Lake, or AWS Redshift

  .

• Transformation:

  Familiarity with ETL workflows using

  Talend, Informatica, or Power Automate

  .

• Visualization:

  Ability to guide dashboard design on

  Power BI, Tableau, or Qlik

  .

• AI/ML:

  Conceptual understanding of

  Python, R, and TensorFlow

  models for predictive analytics.

3. Compliance:

• Expertise in

  HIPAA

  regulations,

  AES-256 encryption

  , and

  RBAC

  implementation in a global delivery model.Role Summary:

You will serve as the strategic architect for the clients digital future. You will advise the Board on how to leverage AI/ML and Big Data to create "Smart Hospitals." You are not fixing bugs; you are designing the roadmap for how Patient Data flows from an EMR into a Predictive Model to save lives.

Key Responsibilities:

• Data Strategy:

  Define the "Future State" architecture, advising the client on migrating legacy silos into modern

  Data Lakes (Azure/Snowflake)

  for unified analytics.

• AI & Innovation:

  Lead the strategy for

  AI-enabled Healthcare

  , utilizing

  Python/TensorFlow

  capabilities to drive predictive outcomes in patient care and RCM.

• Interoperability:

  Design frameworks that integrate disparate data sources

  EMR, LIS, RIS, and Wearables

  to create a 360-degree patient view.

• Value Creation:

  Demonstrate to the C-Suite how

  Visualizations (PowerBI/Tableau)

  can unlock millions in revenue and operational efficiency.

Required Technical Knowledge (Strategic Level):

• Digital Health Ecosystems:

  Deep strategic knowledge of

  EMR, HIS, LIS, and PACS

  interoperability standards (HL7/FHIR).

• Advanced Analytics:

  ability to guide valid use-cases for

  AI/ML (Python, R, TensorFlow)

  in a clinical setting.

• Modern Data Architecture:

  Experience advising on cloud transformations involving

  Snowflake, Redshift, or Azure Data Lake

  .