Strategic Asset Management Consultant

Land O'LakesArden Hills, MN
1d

About The Position

Strategic Asset Management Consultant Join our Strategic Asset Management (SAM) team as a Consultant to help shape critical business decisions in retail agriculture—from where and how to grow to how to deliver and operate in the field. You’ll work on high-impact projects across the U.S., partnering with senior leaders and clients to turn analysis and on-the-ground insights into clear recommendations—spanning market and competitive assessments, growth roadmaps, asset strategies, and operational optimization.

Requirements

  • Bachelor’s degree in business or related field
  • 6 or more years of business experience including experience analyzing data and translating it into recommendations
  • Advanced Excel and PowerPoint skills
  • Ability to travel up to 20% (primarily day trips)
  • Executive-ready communication and facilitation (listening, speaking, writing)
  • Structured problem solving and storytelling to turn analysis into clear recommendations
  • Client and stakeholder management across levels, driving alignment and decisions
  • Learning agility and business curiosity in retail agriculture
  • Quantitative modeling and analytical rigor (valuation, scenario, geospatial/logistics)
  • Workstream ownership, prioritization, and coaching/quality review of junior resources (as assigned

Nice To Haves

  • MBA
  • Knowledge of retail agriculture operations and industry dynamics
  • Consulting experience

Responsibilities

  • Own workstreams across 1–4 concurrent engagements, managing priorities, timelines, and deliverables
  • Develop analytic approaches; synthesize findings into insights, hypotheses, and recommendations
  • Create and iterate client-ready materials (story, recommendations, and exhibits) with project leaders
  • Facilitate portions of client meetings and present analyses to senior leaders and external stakeholders
  • Build/adapt geospatial, logistics, and financial valuation models; plan fieldwork (assessments, interviews, surveys) and ensure data quality
  • Coach and quality-review analysts/rotational resources on models, analyses, and presentations (as assigned)
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