Chief Data Officer — Healthcare Data & AI Transformation

KANINI Software Solutions PTE Ltd.; Nashville (TN); On-site; USD 200,000 - 350,000; Full time

Job summary

Kanini Software Solutions, Inc. in Nashville, TN, seeks a visionary Chief Data Officer to lead enterprise data strategy, cloud modernization, governance, and AI-driven transformation across healthcare operations.

The role partners with C-suite to build data-driven culture, modern platforms, and scalable data ecosystems enabling value-based care and improved decision-making across payer, provider, and health-tech environments.

Qualifications

• Extensive enterprise data leadership and strategy experience.
• Healthcare data ecosystems expertise including payer/provider health-tech.
• Proven ability to build globally distributed data and analytics teams.
• Strong cloud data platforms experience and Lakehouse architecture.
• Experience taking AI/ML into production and governance.
• Understanding of agentic AI, autonomous workflows and risk management.

Responsibilities

• Define and execute the enterprise data strategy and operating model.
• Lead global data engineering, architecture, analytics, and data science teams.
• Oversee P&L, budgets, and strategic investments in data initiatives.
• Establish data governance, quality, metadata, and master data management.
• Lead cloud data platforms and Lakehouse architecture, modernization efforts.
• Define AI/ML strategy with governance, privacy, and risk management.

Skills

Data strategy leadership

Healthcare data

Cloud data platforms

Lakehouse architecture

Data engineering

AI/ML in production

Agentic AI concepts

DevOps/DataOps

Job description

Kanini Software Solutions, Inc. in Nashville, TN, seeks a visionary Chief Data Officer to lead enterprise data strategy, cloud modernization, governance, and AI-driven transformation across healthcare operations.

The role partners with C-suite to build data-driven culture, modern platforms, and scalable data ecosystems enabling value-based care and improved decision-making across payer, provider, and health-tech environments.