Manager, AI & Sales Analytics

Lasko Products, a market leader in home comfort products for over 100 years, is seeking a Manager, AI & Sales Analytics.

The Manager of AI & Sales Analytics is responsible for transforming data into decisions that drive revenue, margin, and execution. This leader will build and own the analytics, forecasting support, and AI capabilities that enable the Sales, Strategy, and Business Unit teams to operate with speed, precision, and accountability.

This is not a reporting role. This role defines how we measure the business, how we predict outcomes, and how we optimize decisions across pricing, promotions, forecasting, and customer strategy.

They will work directly with the VP of Sales Strategy & Business Development, Sales Operations, Finance, and eCommerce leadership to embed analytics and AI into daily commercial execution.

Core Responsibilities

Commercial Analytics & Insights

• Build and own the commercial analytics framework across all channels
• Develop standardized dashboards and KPIs for:
  • Revenue, margin, and trade spend
  • Customer and channel performance
  • Forecast accuracy and bias
• Deliver actionable insights, not just reporting, to support decision-making

Forecasting & Demand Intelligence

• Partner with Sales Operations to improve forecast accuracy and reliability
• Build models that identify:
  • Demand drivers
  • Forecast risk and opportunity
  • Inventory and service-level implications
• Support development of scenario planning and “what-if” analysis

Trade Spend & Promotion Analytics

• Measure and optimize promotional effectiveness across all channels
• Build frameworks for:
  • ROI analysis
  • Promotion elasticity
  • Incremental vs baseline performance
• Identify opportunities to improve trade efficiency and margin

Pricing & Customer Financial Analytics

• Support pricing strategy through:
• Elasticity modeling
• Competitive benchmarking
• Margin analysis
• Build customer P&L tools that enable better investment decisions
• Partner with Finance to ensure alignment between commercial decisions and financial outcomes

AI Integration & Capability Development

• Lead integration of AI tools into the Sales organization
• Identify high-impact use cases, including:
• Forecast automation and improvement
• Retailer-specific insights and reporting
• Competitive intelligence
• Sales productivity tools (automated reporting, summaries, recommendations)
• Evaluate and implement platforms that improve speed and quality of decisions

Category, Market & Competitive Intelligence

• Analyze category trends, market share, and competitive dynamics
• Support PLR development with data-driven insights and recommendations
• Identify whitespace opportunities and emerging trends

Business Development Support

• Support the Business Development pipeline with:
  • Market sizing
  • Financial modeling
  • Opportunity prioritization
• Help quantify the value of new channels, partnerships, and international expansion

Cross-Functional Collaboration

• Partner with:
  • VP Sales Strategy & BD (strategic priorities and frameworks)
  • Sales Operations (forecasting and execution)
  • Finance (margin, trade, and financial alignment)
  • eCommerce (digital analytics and performance optimization)
• Ensure consistent data definitions, metrics, and reporting across teams

What Success Looks Like

• Forecast accuracy improves materially and becomes predictable
• Trade spend is measurable, optimized, and tied to ROI
• Pricing decisions are data-driven and consistent across channels
• Leadership has clear, real-time visibility into business performance
• AI tools are actively used by the Sales team to improve productivity and decision-making
• PLRs and customer strategies are grounded in strong analytics
• Business Development decisions are supported by rigorous data and financial modeling

Qualifications:

• Bachelor’s degree in Business, Finance, Economics, Data Science, or related field (MBA preferred)
• 8–12+ years of experience in sales analytics, commercial strategy, or revenue management (CPG/consumer preferred)
• Proven ability to build and own commercial analytics frameworks that