Monte Carlo

Business Value Consultant

Monte Carlo

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloud

About the role

  • Partner with AEs, TAMs, and Sales Leaders to anchor opportunities in clear business value.
  • Lead discovery with executive stakeholders (C-suite, VP Data/Analytics/Engineering).
  • Build bespoke financial models quantifying benefits (e.g., incident reduction, productivity gains, risk mitigation, AI readiness).
  • Support high-stakes executive presentations and deal reviews with compelling, data-driven narratives.
  • Measure and communicate realized customer value (baseline analysis, KPI tracking, QBR content).
  • Create value frameworks for renewals and multi-year proposals.
  • Build templates, benchmarks, and self-serve tools to support value delivery at scale.
  • Coach GTM teams on value-selling and quantitative storytelling.
  • Develop reusable assets — ROI models, playbooks, vertical-specific value stories.
  • Collaborate with Marketing to develop case studies, webinars, and thought leadership content around business value.
  • Work with regional GTM leaders to prioritize value consulting support.
  • Surface insights to Product, Marketing, and Sales to influence messaging and roadmap.
  • Continuously refine and scale the value-selling motion across the company.

Requirements

  • 5+ years in management consulting, value consulting, sales strategy, or business transformation.
  • 4+ years in customer-facing, value/ROI-oriented roles at enterprise software or data/analytics companies.
  • Experience building financial models and influencing executive-level decisions.
  • Strong quantitative and modeling skills (Excel/Sheets, scenario analysis).
  • Ability to leverage AI tools for scaling value assets (e.g. GPT, Perplexity, Anthropic).
  • Excellent communication skills and executive-level storytelling.
  • High business acumen and a consultative, collaborative approach working across Sales, SE, CS, Product, and Marketing.
  • Comfort contributing in fast-moving, high-ownership environments; builder mentality to create frameworks and repeatable processes.
  • Passion for data reliability, cloud modernization, and AI readiness.
  • Nice to Have: Experience with data, analytics, ML/AI, or observability.
  • Familiarity with the modern data stack (Snowflake, Databricks, AWS, etc.).
  • MBA or advanced degree.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible working arrangements
  • Professional development
  • Employee experience recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
financial modelingquantitative analysisscenario analysisvalue consultingROI modelingdata analysisAI tools
Soft skills
communication skillsexecutive storytellingbusiness acumencollaborative approachconsultative approachbuilder mentality
Certifications
MBAadvanced degree