VP, Decision Sciences

VP, Decision Sciences    This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

We are seeking a visionary analytics leader to transform how data drives decision-making across a large global sales organization. This is a strategic leadership role responsible for advancing the reporting, analytics, decision sciences, and AI capabilities supporting HPE’s Global Sales organization.   Reporting directly to the SVP of Global Sales Strategy & Operations., this executive will lead a team of approximately 100 professionals responsible for business intelligence, analytics, data architecture, and decision-support capabilities. At a time of significant transformation across HPE Sales, this role will establish the measurements, insights, and analytical capabilities required to improve business performance, seller productivity, and management decision-making. A key responsibility for this role will be partnering with IT and the Data Governance Office to expand HPE’s Sales Data Lake and establish a trusted, governed, and accessible data foundation for reporting, analytics, automation, and AI. You'll be providing guidance and strategic vision across: Sales Measurement : Enable the operational deployment of critical metrics, business definitions, and performance management frameworks used to operate the Global Sales organization. Reporting and Business Insights : Delivering executive scorecards, dashboards, and actionable insights that identify performance trends, risks, opportunities, and recommended actions. Reporting Automation : Simplifying and automating recurring reporting while reducing manual activity, duplication, and inconsistent data interpretation. Advanced Analytics and Decision Sciences : Applying predictive modeling, machine learning, optimization, and scenario analysis to forecasting, pipeline performance and supporting the availability of advanced insights for segmentation, territory design, capacity, productivity, and investment decisions. AI and Sales Experience : Leading and partnering on AI-enabled initiatives that improve Sales Operations, selling systems, seller productivity, and management decision-making. Sales Data Strategy : Partnering with IT and the Data Governance Office to expand the Sales Data Lake, improve data integration and quality, and develop reusable Sales data products. Data Governance : Establishing ownership, stewardship, definitions, lineage, quality standards, and controls for critical Sales data and metrics. Organizational Leadership : Building and leading a globally integrated team across reporting, business intelligence, advanced analytics, and data science. Driving strategic goals of the organization to successful completion: Establish a consistent and trusted measurement framework for Global Sales. Improve the quality, speed, and actionability of Sales insights. Automate and simplify core reporting and expand governed self-service analytics. Advance predictive and prescriptive decision support for Sales leaders. Apply data science to improve forecasting, productivity, and business predictability. Partner across HPE to identify and scale high-value AI and Sales Experience capabilities. Expand the Sales