ERS-Senior Manager, Data and Sales Strategy - Westerville

Vertiv•Westerville, OH

About The Position

We 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.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related quantitative field; MBA preferred
7+ years of experience in data architecture and analytics, with at least 3 years in leadership roles
3+ years of experience in sales strategy, revenue operations, or sales analytics
Proven track record of building and leading high-performing data and analytics teams
Experience developing and executing strategic roadmaps for data and sales transformation initiatives
Proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, etc.)
Experience with cloud data platforms (AWS, Azure, GCP) and modern data stack technologies
Deep understanding of CRM systems (Salesforce, HubSpot) and sales technology ecosystems
Experience with machine learning frameworks and statistical modeling techniques
Knowledge of data governance, privacy regulations, and security best practices

Nice To Haves

Advanced degree in a quantitative field or MBA with analytical focus
Experience scaling data and analytics capabilities in high-growth organizations
Background in management consulting or strategic planning roles
Proven success in sales transformation or revenue operations leadership
Experience with change management and organizational transformation initiatives
Certification in relevant cloud platforms or data technologies
Deep knowledge of B2B sales environments and modern sales methodologies
Track record of building data-driven cultures and driving organizational adoption

Responsibilities

Strategic Leadership & Team Management
Lead cross-functional initiatives to align data capabilities with sales strategy and business objectives
Build and manage a high-performing team of data analysts, engineers, and sales operations specialists
Collaborate with leadership team to develop data-driven sales strategies and roadmaps
Champion data literacy across the sales organization and drive adoption of analytics-driven decision making
Data Architecture & Infrastructure
Design and maintain scalable data architectures that support sales analytics, customer intelligence, and predictive modeling
Develop and implement data governance frameworks, ensuring data quality, security, and compliance across all sales and customer data sources
Create and manage data pipelines that integrate CRM, marketing automation, customer service, and external market data sources
Sales Data Analysis & Intelligence
Analyze historical sales performance, customer interaction patterns, and market trends to identify growth opportunities and optimize sales strategies
Develop segmentation models and customer personas to enable targeted sales and marketing campaigns
Create dashboards and reporting solutions that provide actionable insights to sales leadership and individual contributors
Sales Process Optimization & Automation
Deep 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 team
Design data-driven sales processes that streamline lead generation, qualification, nurturing, and conversion
Implement automated workflows and alert systems that guide sales teams toward high-value activities
Develop lead scoring algorithms and prospect ranking systems based on historical performance and predictive models
Predictive Analytics & Machine Learning
Build and deploy machine learning models for sales forecasting, lead scoring, and customer churn prediction
Implement predictive analytics solutions that identify expansion opportunities within existing accounts
Performance Monitoring & Optimization
Establish KPI frameworks and measurement strategies for all sales activities and campaigns
Conduct statistical analysis to measure the impact of sales initiatives and recommend data-driven optimizations