VP, Data Engineering & BI

POSITION SUMMARY

This position is responsible for information management related activities across Banner Health. This includes enterprise data engineering leveraging Databricks medallion architecture (bronze, silver, and gold layers) to establish a single source of truth for all business intelligence, business intelligence (BI), analytics, and data governance (i.e. data stewardship and ownership, data quality monitoring and management, master data management, standard data definitions, metadata, standard metrics, data architecture, and data lifecycle management).

This role operates under a strategic 90/5/5 model: 90% focused on Databricks data engineering across bronze, silver, and gold layers to serve as the single source of truth for any BI; 5% focused on enterprise BI serving as the authoritative source of truth for BI knowledge across all of Banner Health; and 5% focused on AI-enabled capabilities to empower a decentralized and federated BI model for business verticals including Clinical, Finance, HR, BHN, BMG, Care Management, Supply Chain, and PFS. This position oversees the vision, long range planning, prioritization, budgeting, and execution of information management initiatives across the enterprise.

This position supports the Chief AI, Data & Infrastructure Officer in architecting the data roadmap and cultivating an institutional culture around data ownership and monetization.

CORE FUNCTIONS

1. Leads and demonstrates accountability for initiatives regarding enterprise information assets and identifies and standardizes the use and governance of information in support of the overall business strategy. Architects and manages the Databricks medallion architecture (bronze, silver, and gold layers) to ensure all enterprise data is curated, governed, and delivered as the single source of truth for any BI consumption.

2. Acts as the enterprise leader of data insights that help drive strategic and tactical business opportunity, and be a champion for a data-driven, decision-making culture. Chairs the enterprise Business Intelligence Executive Committee and facilitates and provides oversight and guidance to subordinate committees and workgroups. Serves as the authoritative source of truth for enterprise BI knowledge, ensuring consistency, accuracy, and standardization of all BI outputs across Banner Health.

3. Identifies new kinds, types and sources of data and associated technologies to drive business innovation throughout the organization. Defines processes for the effective, integrated introduction of new data. Develops a data science program focused on the exploitation of big data using cloud and social tools, business partnerships, and advanced tools and techniques for data analytics, mining and visualization. Researches and develops new data products and services to expand markets and grow company revenue. Acts as a marketing champion for information management capabilities and services provided by the enterprise. Partners with the Infrastructure Leader and AI Leader to leverage AI capabilities that empower a decentralized and federated BI model for business verticals (Clinical, Finance, HR, BHN, BMG, Care Management, Supply Chain, and PFS), enabling business partners to drive 90% of ad hoc and specialty BI through AI-powered conversational dashboard developer capabilities and through AI Agents for specialty data BI analysis and discovery.

4. Governs process using data and analytics to maximize the return on data assets. Develops methods to ensure consistent application and use of analytics. Collaborates with the AI Leader to integrate BannerWise, an internal AI concept, to enable Human Approved concepts that drive 100% accurate data validation and governance, ensuring all AI-generated BI outputs are verified and trustworthy.

5. Advances the role of data stewards across each division and business unit. Defines and manages policies and programs for data stewardship in concert with Legal, IT Security, Compliance, Internal Audit, Privacy, and Business Health functions. Works closely with compliance and security executives and teams to ensure data compliance policies/procedures are being implemented and supported appropriately throughout the enterprise. Empowers business verticals including Clinical, Finance, HR, BHN, BMG, Care Management, Supply Chain, and PFS to operate autonomously within a federated BI framework, providing self-service BI tools while maintaining enterprise data governance standards.

6. Develops and maintains controls on data quality, interoperability and data sources to effectively manage data integrity. Leads the deployment and management of data quality monitoring systems. Ensures that business reports derived from controlled data are consistent and representative of the true state of the business. Ensures all data flowing through Databricks bronze, silver, and gold layers meets quality, lineage, and governance standards to maintain the integrity of the single source of truth.

7. Leads enterprise master data management (MDM) efforts. Measures master data and reference data for compliance to policy, standards and conceptual models. Defines, manages, and controls master data and metadata management policies, and standards, including reference data. Manages data lifecycle. Creates policies and controls for the appropriate protection of enterprise information assets through a defined life cycle from acquisition or creation to end of life destruction and disposal procedures. Oversees the integration and staging of data, and the development and maintenance of the enterprise data warehouse (EDW) and data marts for use by analysts across the organization.

8. This is an enterprise wide role, leading and influencing information management strategies and initiatives across the Banner system. This position is the administrative leader for departments consisting of data and information management leaders, technical professionals, other specialists, including data architects, business intelligence developers, data stewards, data scientists, analytics specialists, master data management (MDM) specialists and program managers, business analysts, database designers and administrators (DBAs) and other business intelligence specialists.

9. Partners with the Infrastructure Leader and AI Leader to enable AI capabilities within BI; the role itself oversees only data engineering and BI talent, while all AI engineering and development resources reside under the AI Leader. Key relationships include executives and stakeholders from various business units spanning Clinical, Finance, Strategic Planning, HR, BHN, BMG, Care Management, Supply Chain, PFS, and other enterprise information service providers and consumers.

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