Avp, Enterprise Analytics

Summary

JOB SUMMARY :
The AVP of Data and Analytics (AVPDA) will be responsible for data and analytics vision, strategy, and operations at Life Bridge Health (LBH). The AVPDA will lead, develop, and oversee LBH’s data and analytics program, establishing a strategy and roadmap that aligns enterprise data and analytics capabilities with LBH’s mission, strategy, and objectives. The AVPDA will be involved in key LBH executive leadership team work, participating in and driving enterprise-wide decision-making and strategy development by enabling high-quality, timely, and accessible insights and analytics.

The AVPDA role will also be highly collaborative, partnering with key stakeholders to understand and meet information needs across LBH The AVP will also ensure efficient and aligned data governance; effective deployment of analytics resources, tools, and models; and appropriate application of advanced analytics techniques (e.g., natural language processing, machine learning, and AI).

• Oversees the enterprise data and analytics program. In addition directly manages span of control over all centralized analytics resources in the Analytics Center of Excellence (ACE) and indirect partnership with IS AVP over the data resources in Analytics Infrastructure Management (AIM) team.
• Leads, mentors, and oversees ACE directly, and AIM in partnership to fulfill the needs of the organization, facilitating skills development, service delivery, and customer relationships across LBH
• Develops enterprise data and analytics vision, strategy, and roadmaps to embed analytics across the organization and drive consumer experience transformation, clinical / operational workflows, strategic growth, research, and value-based performance
• Champions a data-driven enterprise, driving cultural change and expectations of effective data and analytics use in decisions across the organization through owning specific governing committees such as Reporting & Analytics and Artificial Intelligence.
• Collaborates with senior leaders, offering expert consultation on all enterprise-level data-related initiatives including service deployment, personnel recruiting, skills / data literacy training, technology development, and application of analytics within the business
• Serves as an active member of executive decision-making bodies, ensuring continuity between leadership vision / strategy and data and analytics operations
• Drives collaboration between the analytics program and other LBH departments / business units, promoting and establishing the value of the analytics program to the enterprise
• Helps establish responsibilities and expectations for data and analytics resources in distributed areas outside of ACE and AIM, ensuring a uniform level of service throughout the organization while enabling operational agility
• Acts as a key leader and sponsor in enterprise data governance efforts, including the definition of key data elements, collaboration with operational data stewards to ensure data quality, and driving expectations of data trust and integrity throughout the organization
• Maintains a broad view of enterprise data assets and needs, strategically developing data and analytics capabilities that are needed to support ongoing needs
• Oversees the maintenance and refinement of data and analytics infrastructure to support and achieve operational business goals and targets
• Participates actively in the development and optimization of major data source systems to maximize data and analytics fidelity, collaborating closely with IS teams
• Develops proactively and maintains self-service capabilities across the organization, as well as ensuring effective use of those capabilities by business and operational customers
• Fosters technological innovation, leveraging emerging analytics technologies to drive novel insights and enable more sophisticated means of data-based decision-making in service of strategic, clinical, financial, and operational improvements

• Bachelor’s degree in statistics, finance, computer science, information systems, mathematics, engineering, actuarial sciences, economic sciences, analytics, or related field
• Preferred…