Senior Advisor, Data Governance & Platform Enablement

Cardinal Health Sonexus™ Access and Patient Support helps specialty pharmaceutical manufacturers remove barriers to care so that patients can access, afford and remain on the therapy they need for a better quality of life. Our diverse expertise in pharma, payer and hub services allows us to deliver best-in-class solutions—driving brand and patient markers of success. We’re continuously integrating advanced and emerging technologies to streamline patient onboarding, qualification and adherence. Our non-commercial specialty pharmacy is centralized at our custom-designed facility outside of Dallas, Texas, empowering manufacturers to rethink the reach and impact of their products.

Together, we can get life-changing therapies to patients who need them—faster.

What Data Management and Governance contributes to Cardinal Health

The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Data Management and Governance provides direction of data assets and is responsible for data strategy, quality, standards and service levels. Data management acquires, validates, standardizes, enriches, protects and publishes structured, third party and unstructured data for use by the business. Governance defines and implements policies, standards and metrics that ensure the effective and efficient use of trusted data and statistical models to support regulatory and business goals.

Responsibilities

The Senior Advisor, Data Governance & Platform Enablement plays a critical role in advancing data governance capabilities across Sonexus, with a primary focus on establishing trust in data assets that support analytics, AI, and emerging agentic systems. This role operates as a hands‑on consultant while partnering closely with business, analytics, and engineering stakeholders.

Key responsibilities include:

• Serve as a hands‑on data governance consultant within Sonexus, enabling and operationalizing governance capabilities across the analytics platform (Databricks). 
• Establish and evolve a data governance strategy that supports trusted, well‑understood data assets for business functions, analytics, AI, and advanced use cases.
• Define and maintain governance standards that promote data discoverability, appropriate use, and confidence in data, in partnership with Information Security and compliance teams and aligned with enterprise/regulatory expectations and tools.
• Partner with Data Owners, Business Stakeholders, and Technical Leads to identify and prioritize critical data elements that impact reporting, decisions, and AI outcomes.
• Capture and govern business data definitions and essential dataset context to ensure consistent interpretation and use.
• Apply governance within a central‑to‑federated operating model, enabling distributed ownership while maintaining alignment to enterprise standards.
• Identify opportunities to improve data quality, reliability, and consistency through analysis, partnership, and governance controls.
• Act as a trusted advisor and change agent, communicating governance progress, risks, and outcomes in clear, business‑focused terms.

Qualifications

• 6-12 years of experience in data governance, data management, analytics enablement, or related data roles, preferably within complex or regulated environment preferred
• Demonstrated experience working with modern cloud data platforms, with strong preference for GCP and Databricks.
• Proven ability to apply governance concepts in practice, balancing business needs, speed, and risk.

• Strong communication and facilitation skills, with the ability to translate technical and governance concepts into business‑relevant language.

• Proven ability to influence without authority and operate effectively in environments with evolving requirements.

• Self‑driven, adaptable, and comfortable operating in ambiguity.

Strong understanding of:

• Data definitions and semantics
• Critical data elements and prioritization
• Metadata management and data classification
• Data quality concepts and impacts

Experience partnering effectively with:

• Business and functional stakeholders
• Analytics and BI teams
• Data engineering and platform teams

What is expected of you and others at this level

• Applies advanced knowledge and understanding of concepts, prin