ERS-Senior Manager, Data and Sales Strategy - Westerville

High Voltage MaintenanceWesterville, OH
2d

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
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