Chief Data Officer

We are seeking an accomplished and visionary Chief Data Officer tolead our enterprise-wide data strategy, cloud data modernization, governance, and AI-driven transformation initiatives. The ideal candidate will bring a strong blend of strategic leadership, technical expertise, and business acumen to build scalable, secure, and intelligent data ecosystems that drive measurable business outcomes across healthcare operations.

The Chief Data Officer will partner closely with C-suite executives and business leaders to establish a data-driven culture, modernize data platforms, strengthen data governance, and leverage advanced analytics,AI/ML, and agentic AI capabilities to improve clinical and operational efficiency, support value-based care, and enable better decision-making across payer, provider, and health-tech environments.

• Defineand execute the enterprise-wide data strategy, roadmap, and operating model aligned with organizational objectives.
• Leadand scale high-performing, globally distributed data engineering,architecture, analytics, and data science teams.
• ManageP&L responsibilities, resource planning, budgets, and strategic investments across data initiatives.
• Establish enterprise data governance, data quality, metadata management, master data management, and data stewardship frameworks.

• Drivedata initiatives across healthcare ecosystems, including payer, provider,clinical operations, claims, and value-based care. Ensure compliance with HIPAAand HITECH regulations, healthcare data privacy, security, and applicable regulatory requirements.
• Leadthe design and implementation of scalable, secure, and high-performance cloud data platforms, including hands-on experience with Lakehousearchitecture
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• Drive cloud modernization, data platform migration, and optimization initiatives across enterprise environments.

• Defineand execute the AI/ML strategy, integrating advanced analytics and AI capabilities into healthcare and business workflows.
• Establish responsible AI practices covering model governance, explainability,monitoring, privacy, and risk management.

• Drive Dev Ops , Data Ops, MLOps, and CI/CD practices to accelerate the deployment and maintenance of data and AI solutions.

• Align enterprise data initiatives with business priorities and measurable outcomes.
• EstablishKPIs and executive dashboards to track data quality, platform performance,AI adoption, cost efficiency, and business value.

• Extensive experience in enterprise data leadership, data strategy, data architecture, and large-scale digital transformation, preferably in a Chief Data Officer, VP of Data, Head of Data, or equivalent senior leadership role.
• Mandatory healthcare industry experience across payer, provider, health-tech,healthcare services, or related healthcare data ecosystems.
• Proven experience building and leading high-performing, globally distributed dataand analytics organizations.
• Strong expertise in cloud data platforms, Lakehouse architecture, data engineering, enterprise integration, and cloud modernization.
• Demonstrated experience taking AI/ML solutions from strategy and experimentation through production deployment.
• Practical understanding of agentic AI, AI agents, reasoning models, and autonomous workflow orchestration.

• Experience driving data transformation across large, complex, or multinational healthcare organizations.

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate.

Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.