Vice President Data & Analytics
Listed on 2026-10-13
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IT/Tech
Data Analyst, AI Business & Operations, Business Intelligence, AI Engineer (Applied/Software)
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Vice President Data & AnalyticsFull Time Senior Management Memphis, TN, US
5 days ago Requisition
Role SummaryThe Vice President Data & Analytics is the enterprise leader responsible for Anovo’s data, analytics and AI strategy, capabilities and operating model. This leader owns data architecture and data governance for Anovo’s internal and customer-facing digital platforms and sets the vision and roadmap for data, analytics and AI across the company. Anovo is a specialty pharmacy focused on rare disease and orphan drug therapies, so trusted data, analytics, security and compliance are foundational to patient care, client service, operational performance and growth.
This role will lead a multidisciplinary team spanning data engineering/architecture, data analysts and data scientists while partnering with department heads and executive leadership to identify growth opportunities, improve operational and financial performance, demonstrate client value, track key performance indicators (KPIs), and enable informed enterprise decision-making.
The below is intended to describe the general content of and requirements for the performance of this job and is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements.
Key ResponsibilitiesYou are accountable for how Anovo's data is designed, governed, and turned into decisions. The role has five areas of ownership.
Business & Enterprise Analytics- Set the multi-year data and analytics strategy and roadmap, aligned to Anovo's business and technology priorities.
- Define the operating model, standards, and investment case for data across the organization.
- Serve as a strategic advisor to the Executive Committee and senior leaders on data, analytics and AI opportunities, risks and investments.
- Partner with executive and functional leaders to identify opportunities where data, analytics and AI can improve revenue growth, client value, patient outcomes, operational performance and financial results.
- Influence enterprise priorities by translating technical possibilities into business cases, financial impact and measurable outcomes.
- Communicate complex analytical and technical concepts clearly to both technical and non-technical audiences.
- Translate complex business questions into analytical frameworks, measurable outcomes and actionable recommendations.
- Establish a portfolio of enterprise analytics use cases, sequence delivery based on expected value and feasibility, and track whether completed initiatives achieve their intended outcomes.
- Develop predictive and prescriptive analytics capabilities that move the organization beyond descriptive reporting toward proactive decision-making.
- Own the end-to-end data architecture for the Aperture platform, including data models, pipelines, storage, integration, and reporting layers.
- Set design standards for PostgreSQL and AWS data services covering performance, scalability, resiliency, security, and cost.
- Partner with enterprise architecture, security, and validation leads so the data design fits the wider platform.
- Evaluate new tools and patterns, and build data foundations that are ready for advanced analytics and machine learning.
- Develop and execute Anovo's enterprise AI strategy in partnership with Technology and business leadership.
- Identify and prioritize AI and machine-learning opportunities that improve patient experience, operational efficiency, client value and business performance.
- Establish the data, governance and technology foundations required to deploy AI responsibly and at scale.
- Partner with Legal, Compliance,…
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