Advisor, Enterprise & Medical Customer Master Data

*** 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.
*** Accountabilities in this role
**** Serves as a trusted resource for broad and deep Customer Master Data subject matter expertise in the context of developing new business processes and technology solutions
* Leverage skills to drive efficiencies for Cardinal Health related to the understanding, review, extraction, correction, or provision of Master Data to consumers of Master data.
* Will be an expert consulting on data integrity related to customers and how information flows between teams and systems to drive decisions
* Consults directly on data-driven solutions for gaps in visibility & enabling proper reporting
* Work with cross-functional partners across our highly matrixed organization to understand both upstream inputs to, and downstream impact of, current and future customer master data processes
* Able to capture and communicate clearly how the work being done brings value to Cardinal Health and its customers
* Other duties as assigned
** Proficiencies desired:
*** Ability to comfortably and confidently manipulate large-volume data sets to extract insights and drive action
* Ability to write complex SQL queries, understand database schemas, and optimize performance for data extraction and manipulation
* Demonstrated ability to develop, implement, and maintain data automation workflows using Python.
* Experience with relevant Python libraries for database interaction (e.g., SQL Alchemy, Psycopg2), data manipulation (e.g., Pandas), and API integrations
* Ability to analyze complex data problems, design efficient solutions, and troubleshoot automation workflows.
* Proficiency in data ingestion procedures
* Understanding of data layering concepts within a database
* Proven ability to build and manage data automation and reporting solutions using open-source tools and programming languages, minimizing reliance on proprietary software
* Ability to explain complex work in a way that will resonate with partners regardless of technical acumen.
* Experience with process improvement methodologies
* Proficiency in stakeholder management
* Ability to create clear process and automation documentation
* Ability to advise in strategic business initiatives on the requirements from Customer Master Data to protect or improve customer experience or efficiency of service
* Ability to build and maintain positive relationships with many functional partners and stakeholders
* Ability to comfortably and confidently consult on risk to service levels resulting from new process(es), in or outside our team
** Familiarity with these is helpful:
*** Understanding business concepts as they apply to various Cardinal Health functions and providing expertise on how Customer Master Data contributes to those functions
* Experience working with Data Governance to identify opportunities for data cleanup that may deteriorate our ability to provide effective service efficiently
* Experience as a leader, formally or informally, including direct or influential leadership
* Familiarity with data visualization techniques and tools
* Familiarity with Artificial Intelligence concepts and their practical application in the business
* Understanding of data governance, quality, and remediation procedures
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