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Mars

Global confectionery, food, and petcare company

Senior Manager - Data and Tech Business Partner

Business OperationsUpdated on Nov 11
Full-timeChicago, IL, USAHybrid

About the Job

Requirements

  • A bachelor's degree in Business, Finance, Economics, Data Analytics, Information Technology, Engineering, or a related field.
  • At least 6 years of progressive experience in Consumer Packaged Goods, Revenue Management, Commercial Strategy, Data and Analytics, Digital Transformation, Product Management, Technology Business Partnership, or related commercial technology functions.
  • Experience partnering with Strategic Revenue Management, Pricing, Trade Investment, Commercial Excellence, Finance, Sales, or other commercial organizations to deliver technology, analytics, and process improvement initiatives.
  • Strong understanding of revenue growth management concepts, including pricing, trade promotion, customer profitability, forecasting, commercial planning, and commercial operating models within a Consumer Packaged Goods environment.
  • Demonstrated success leading complex cross-functional business transformation, data, analytics, or technology initiatives from strategy through implementation and adoption.
  • Proven ability to build trusted relationships, influence senior leaders, manage competing priorities, and translate business strategy into scalable digital capabilities and measurable business outcomes.
  • Strong communication, stakeholder management, and strategic planning skills, with the ability to engage executive-level audiences.
  • Experience with commercial technology and analytics platforms such as Salesforce TPM, Enterra, Trade Promotion Optimization, forecasting, pricing, revenue management, or commercial analytics solutions.

Responsibilities

  • Serve as the primary Data and Tech partner for Strategic Revenue Management, Pricing, Commercial Excellence, Finance, and Sales leadership teams.
  • Build trusted relationships with senior stakeholders and provide strategic guidance on technology, analytics, AI, and digital transformation opportunities.
  • Develop and maintain a multi-year roadmap that aligns technology, data, analytics, and AI investments with commercial growth priorities.
  • Translate business challenges and opportunities into scalable digital capabilities that improve revenue growth, profitability, and decision-making.
  • Lead demand management, prioritization, business case development, governance, and value realization activities across the commercial portfolio.
  • Enable technology and analytics capabilities across pricing, revenue management, assortment optimization, customer profitability, forecasting, and commercial planning processes.
  • Lead the strategy, roadmap, adoption, and value realization of Trade Promotion Optimization capabilities.
  • Partner with Sales, Finance, Category, and Commercial teams to improve pricing effectiveness, promotional return on investment, customer profitability, and revenue performance.
  • Ensure commercial capabilities are scalable, integrated, user-centered, and aligned with enterprise data and technology standards.
  • Define and execute the strategy for commercial analytics, insights, and AI-enabled decision support capabilities.
  • Partner with Data Science, Data Engineering, and Analytics teams to deliver predictive, prescriptive, and AI-powered solutions that improve business outcomes.
  • Advance capabilities that improve price optimization, promotion effectiveness, customer profitability, forecasting accuracy, assortment decisions, and scenario planning.
  • Drive adoption of modern analytics platforms, self-service insights, automation, and responsible AI solutions across the commercial organization.
  • Oversee governance, prioritization, and investment planning across the Strategic Revenue Management, Trade Promotion Optimization, Pricing, and Commercial Analytics portfolio.
  • Partner with global and regional teams to influence product roadmaps, manage dependencies, and optimize business value.
  • Facilitate executive governance forums and provide visibility to key decisions, risks, priorities, dependencies, and outcomes.
  • Monitor adoption, business impact, and value realization, ensuring continuous improvement and long-term sustainability of delivered capabilities.

Desired Qualifications

  • Experience with AI, machine learning, advanced analytics, syndicated data sources such as Circana, NielsenIQ, and Numerator, and Agile product delivery environments.

About the Company

Mars

Global confectionery, food, and petcare company

Mars makes confectionery, food, and petcare products and also operates pet health services through networks like Banfield, VCA, BluePearl, and Royal Canin. Its products are marketed under familiar brands such as M&M’s, Snickers, Milky Way, Skittles, Dove, Orbit, Pedigree, Royal Canin, Whiskas, and Cocoavia, sold globally to consumers and pet owners. The company differs from competitors by combining a broad, diversified portfolio with a global, family-owned structure guided by the Mars Principles (Quality, Responsibility, Mutuality, Efficiency, Freedom), which drives its operations and partnerships. Mars aims to help communities prosper and to grow its business while improving social and environmental outcomes, using its scale to support responsible practices across the world.

Company size
10,001+
Company stage
Debt Financing
Total funding
$27B
Headquarters
McLean, VA
Founded
1911

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