Vice President, Data Science & Analytics (REMOTE: US)

Veeam®, the #1 global market leader in data protection and ransomware recovery, is on a mission to empower every organization to not just bounce back from a data outage or loss but bounce forward.

With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud. 

The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps 
and data are protected and always available.

Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.

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. This senior role is integral to enhancing Veeam’s global operations by promoting data-driven decision-making, ensuring exceptional data quality, and delivering proactive growth recommendations. The successful candidate will bear significant responsibility for leading high impact initiatives and collaborating with key business stakeholders to deliver profound insights and elevate business performance.

This position reports to the SVP of Revenue Intelligence and is within the Global Operations team under the COO.

Position can be Remote within the United States.

Responsibilities:

• 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

Key Success Factors:

• Strategic thinking and the ability to passionately drive change and continuous improvement
• Leadership in managing cross-functional programs and influencing stakeholders to overcome resistance to change
• Capability to design, visualize, and operationalize final solutions through well-defined workstreams
• Proven experience in initiating, leading, and executing major strategic initiatives independently and in large team settings
• Strong quantitative analytics skills for generating, interpreting, and transforming core data sets into actionable insights
• Effective leadership in managing teams with deep technical skills, including data analysts and data scientists
• Exceptional problem-solving, change-management, and negotiation skills to drive project success
• Commitment to building a diverse, equitable, and inclusive culture that promotes high performance, transparency, and continuous improvement
• Experience in driving successful data adoption programs and demonstrable business impact
• Partnership with product leadership to influence business strategy through data-driven decisions
• Superior verbal and written communication skills for effective stakeholder engagement
• Ability to manage cross-functional teams to execute projects and meet deliverables
• Collaborative problem-solving skills with effective escalation management to ensure project milestones are met
• Proven ability to manage multiple competing priorities efficiently

Qualifications:

• 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

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