Vice President - Data Science & Analytics

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Veeam Software

WebsiteLinkedInAll Job Openings

Data Protection • Virtual Environment Management • Data Management • Backup • Backup and Recovery

5001 - 10000

💰 Private Equity Round on 2019-01

Description

• The Revenue Intelligence team is seeking a Vice President of Data Science and Analytics, a pivotal senior leadership position that will oversee and drive the development of a world-class analytics and data science function. • Supervise and collaborate with a team responsible for business analysis and reporting, focusing on sales results and pipeline monitoring across sales, renewals, products, and channel partners. • Provide comprehensive actionable insights into business performance through data analysis and interpretation, working closely with key stakeholders. • Coordinate core business activities, including daily stand-ups, weekly schedules, and quarterly reviews, in partnership with sales, marketing, HR, finance, and operations leaders. • Oversee reporting, corporate metrics, and analytics teams; drive data strategy encompassing definition, curation, visualization, and analysis. • Develop and oversee strategic analytical and predictive models, such as customer propensity assessments, churn forecasts, and product recommendations, to drive growth. • Leverage advanced AI/ML and predictive analytics to enhance decision-making, growth, and productivity across the organization. • Lead data governance and enrichment initiatives to ensure data accuracy and accessibility for decision-making. • Collaborate with various teams to meet business requirements, fostering skill and strength development within the team. • Cultivate an environment that promotes learning, development, and excellence within the team.

Requirements

• 15+ years of experience in senior roles driving data science, data analytics, and business operations with a strong focus on enabling data-driven decisions and growth recommendations. • Advanced knowledge of analytics, data science, and business reporting operations. A master's or advanced degree in analytics or data science is preferred. • Experience deploying and utilizing advanced AI/ML technologies for predictive analytics. • Strong business acumen and excellent communication skills. • Experience working with global, cross-functional teams in a fast-paced and dynamic environment.