ERS-Senior Manager, Data and Sales Strategy

Senior Manager, Data And Sales StrategyWe are seeking a strategic Senior Manager, Data and Sales Strategy, to lead our data-driven sales transformation initiatives. This role combines strategic planning with hands-on data architecture and analytics expertise to drive revenue growth, optimize sales performance, and build scalable data capabilities that support our sales organization's success.Strategic Leadership & Team ManagementLead cross-functional initiatives to align data capabilities with sales strategy and business objectivesBuild and manage a high-performing team of data analysts, engineers, and sales operations specialistsCollaborate with leadership team to develop data-driven sales strategies and roadmapsChampion data literacy across the sales organization and drive adoption of analytics-driven decision makingData Architecture & InfrastructureDesign and maintain scalable data architectures that support sales analytics, customer intelligence, and predictive modelingDevelop and implement data governance frameworks, ensuring data quality, security, and compliance across all sales and customer data sourcesCreate and manage data pipelines that integrate CRM, marketing automation, customer service, and external market data sourcesSales Data Analysis & IntelligenceAnalyze historical sales performance, customer interaction patterns, and market trends to identify growth opportunities and optimize sales strategiesDevelop segmentation models and customer personas to enable targeted sales and marketing campaignsCreate dashboards and reporting solutions that provide actionable insights to sales leadership and individual contributorsSales Process Optimization & AutomationDeep understanding of the sales process and tools need for sales success.Own the sales tools and drive optimizations to meet the expanding needs of the sales teamDesign data-driven sales processes that streamline lead generation, qualification, nurturing, and conversionImplement automated workflows and alert systems that guide sales teams toward high-value activitiesDevelop lead scoring algorithms and prospect ranking systems based on historical performance and predictive modelsPredictive Analytics & Machine LearningBuild and deploy machine learning models for sales forecasting, lead scoring, and customer churn predictionImplement predictive analytics solutions that identify expansion opportunities within existing accountsPerformance Monitoring & OptimizationEstablish KPI frameworks and measurement strategies for all sales activities and campaignsConduct statistical analysis to measure the impact of sales initiatives and recommend data-driven optimizationsRequired QualificationsBachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related quantitative field; MBA preferred7+ years of experience in data architecture and analytics, with at least 3 years in leadership roles3+ years of experience in sales strategy, revenue operations, or sales analyticsProven track record of building and leading high-performing data and analytics teamsExperience developing and executing strategic roadmaps for data and sales transformation initiativesProficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, etc.)Experience with cloud data platforms (AWS, Azure, GCP) and modern data stack technologiesDeep understanding of CRM systems (Salesforce, HubSpot) and sales technology ecosystemsExperience with machine learning frameworks and statistical modeling techniquesKnowledge of data governance, privacy regulations, and security best practicesPreferred QualificationsAdvanced degree in a quantitative field or MBA with analytical focusExperience scaling data and analytics capabilities in high-growth organizationsBackground in management consulting or strategic planning rolesProven success in sales transformation or revenue operations leadershipExperience with change management and organizational transformation initiativesCertification in relevant cloud platforms or data technologiesDeep knowledge of B2B sales environments and modern sales methodologiesTrack record of building data-driven cultures and driving organizational adoptionThe successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.OUR STRATEGIC PRIORITIESCustomer FocusOperational ExcellenceHigh-Performance CultureInnovationFinancial StrengthOUR BEHAVIORSOwn ItAct With UrgencyFoster a Customer-First MindsetThink Big and ExecuteLead by ExampleDrive Continuous ImprovementLearn and Seek Out DevelopmentAt Vertiv, we're on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected. With $6.9 billion in revenue, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people.Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.Work Authorization: No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.