Mars Inc.
Senior Manager, Data and Tech Business Partner
USA-Illinois-Chicago · Senior
Sponsorship not specified$119k-$164kDetected 3 days ago
Machine LearningData AnalysisData EngineeringData ScienceStakeholder ManagementSalesforceForecastingProcess ImprovementLeadershipCommunication
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odds of building a lasting career here
51Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role68
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Strategic Revenue Management (SRM) & Trade Promotion Optimization (TPO)
- Acting as a trusted advisor to business leaders, you will translate commercial priorities into scalable technology solutions, analytics products, and data-driven decision frameworks that accelerate revenue growth and margin expansion.
- 6+ years of progressive experience in Consumer Packaged Goods (CPG), Revenue Management, Commercial Strategy, Data & Analytics, Digital Transformation, Product Management, Technology Business Partnership, or related commercial technology functions.
Responsibilities
- 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.
- 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.
- Partner with Sales, Finance, Category, and Commercial teams to improve pricing effectiveness, promotional ROI, customer profitability, and revenue performance.
- Proven ability to build trusted relationships, influence senior leaders, manage competing priorities, and translate business strategy into scalable digital capabilities and measurable business outcomes.
- Serve as the primary Data and Tech partner for Strategic Revenue Management, Pricing, Commercial Excellence, Finance, and Sales leadership teams.
- Lead demand management, prioritization, business case development, governance, and value realization activities across the commercial portfolio.
- Lead the strategy, roadmap, adoption, and value realization of Trade Promotion Optimization capabilities.
- 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.
Requirements
- Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Technology, Engineering, or a related field.
- Strong communication, stakeholder management, and strategic planning skills, with the ability to effectively engage executive-level audiences.
- Experience with commercial technology and analytics platforms such as Salesforce TPM, Enterra, Trade Promotion Optimization (TPO), forecasting, pricing, revenue management, or commercial analytics solutions.
- Strong understanding of revenue growth management concepts, including pricing, trade promotion, customer profitability, forecasting, commercial planning, and commercial operating models within a CPG environment.
Compensation
- An industry competitive salary and benefits package, including company bonus.
Benefits
- Preferred experience with AI, machine learning, advanced analytics, syndicated data sources (e.g., Circana, NielsenIQ, Numerator), and Agile product delivery environments.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
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This listing is sourced directly from Mars Inc.'s careers page and normalized into a canonical job model.