VP, Data Engineering & BI

Banner Health • Phoenix, AZ

3d

About The Position

This enterprise-wide leadership position is responsible for information management across Banner Health, including enterprise data engineering, business intelligence, analytics, and data governance. The role architects and manages a Databricks medallion architecture (bronze, silver, and gold layers) to curate, govern, and deliver enterprise data as the single source of truth for BI consumption. Its strategic focus is 90% data engineering, 5% enterprise BI, and 5% AI-enabled capabilities that support a decentralized, federated BI model across business verticals.

The position oversees the vision, long-range planning, prioritization, budgeting, and execution of enterprise information management initiatives, and supports the Chief AI, Data & Infrastructure Officer in architecting the data roadmap and cultivating a culture of data ownership and monetization. It leads data and information management teams and works with enterprise leaders and stakeholders across clinical, finance, strategic planning, HR, BHN, BMG, care management, supply chain, PFS, and other areas. The role oversees data engineering and BI talent; AI engineering and development resources reside under the AI Leader.

Requirements

• Master's degree in business administration, computer science, information management, or a related field; equivalent knowledge and experience may be considered. Degree must be from an accredited institution.
• At least 10 years of business experience, ideally in business and/or IT management, recently at or near the executive level.
• At least 5 years of progressive leadership experience leading cross-functional teams and enterprise-wide programs, and influencing effectively across a complex organization.
• At least 5 years of experience in information-intensive industries or digitally advanced enterprises, with the ability to demonstrate strong enterprise business knowledge.
• Experience integrating complex cross-corporate processes and data models and/or designing strategic metrics and scorecards.
• Experience in a role requiring effective verbal, written, and interpersonal communication skills.
• Expert-level knowledge and awareness of the area of expertise in the designated facility, business entity, or area.
• Proven record of driving successful performance outcomes and accomplishing organizational goals.
• Experience anticipating and responding to internal and external customer needs, managing a budget, and applying strong financial and business acumen.
• Knowledge of budgeting and forecasting methodologies, and ability to analyze and interpret data.
• Skills in building partnerships with management, staff, and stakeholders; handling uncertainty; building trusting relationships; developing cohesive teams; persuading others; evaluating best practices and trends; and constructing innovative solutions to complex problems.
• Ability to mentor and coach staff, develop and implement strategic goals, allocate resources, make informed decisions using data, negotiate mutually beneficial outcomes, and build collaborative strategic partnerships.
• Excellent human relations, organizational, and communication skills.
• Leadership characteristics including a strong work ethic, results orientation, persuasiveness, motivation, sound decision-making, inspiration, integrity, systems thinking, innovation, collaboration, good listening, adaptability, and commitment to continuous improvement and high-quality care and service.
• Experience using word processing, spreadsheet, database, internet, e-mail, and scheduling applications.

Nice To Haves

• Experience working with or leading large-scale business intelligence, data analytics, information management, and enterprise data warehousing projects and initiatives.
• Expertise or strong familiarity with big data solutions such as Hadoop, MapReduce, and/or HBase.
• Familiarity with data modeling and/or predictive modeling techniques.
• Experience with Databricks, medallion architecture (bronze/silver/gold), and cloud-based data Lakehouse platforms.
• Experience collaborating with AI teams to enable AI-driven analytics and federated BI governance models.
• Additional related education and/or experience.

Responsibilities

• Lead enterprise information management initiatives and standardize the use and governance of information in support of business strategy.
• Architect and manage the Databricks medallion architecture across bronze, silver, and gold layers as the governed enterprise source of truth for BI.
• Lead enterprise data insights and promote a data-driven decision-making culture; chair the Business Intelligence Executive Committee and guide subordinate committees and workgroups.
• Serve as the authoritative source for enterprise BI knowledge and ensure BI outputs are consistent, accurate, and standardized.
• Identify new data sources, types, and technologies; define processes for introducing data; develop data science capabilities and research new data products and services.
• Partner with Infrastructure and AI leaders to enable AI-powered, federated BI capabilities for business verticals, including conversational dashboard development and AI-assisted specialty BI analysis and discovery.
• Govern the use of data and analytics to maximize the return on data assets and establish consistent application of analytics.
• Collaborate with the AI Leader on BannerWise concepts intended to support human-approved data validation and governance of AI-generated BI outputs.
• Advance data stewardship across divisions and business units; define and manage stewardship policies and programs with Legal, IT Security, Compliance, Internal Audit, Privacy, and Business Health functions.
• Work with compliance and security leaders to ensure data compliance policies and procedures are implemented and supported throughout the enterprise.
• Enable business verticals to use self-service BI within a federated framework while maintaining enterprise data governance standards.
• Develop and maintain controls for data quality, interoperability, and data sources; lead deployment and management of data quality monitoring systems.
• Ensure business reports are consistent and representative of the business, and that data in Databricks layers meets quality, lineage, and governance standards.
• Lead enterprise master data management; measure master and reference data against policies, standards, and conceptual models; manage master data, metadata, and reference data policies and standards.
• Manage the data lifecycle and establish policies and controls for protecting enterprise information from creation or acquisition through disposal.
• Oversee data integration and staging, and development and maintenance of the enterprise data warehouse and data marts.
• Lead and influence enterprise information management strategies and initiatives, and provide administrative leadership for data and information management professionals and teams.
• Manage the vision, long-range planning, prioritization, budgeting, and execution of information management initiatives.
• Build relationships with enterprise executives, stakeholders, information providers, and consumers across business units.

Benefits

• Option to participate in a variety of health, financial, and security benefits.
• May be eligible for the Management Incentive Program as part of the Total Rewards package.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive