Head, SMB Methodology & Data (Remote)

Forbes Advisor

$120K — $150K *
US-AnywhereRemote in Wilmington, DE
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in SMB products, services, SaaS, fintech, operations, consulting, analytics, or product management.
  • Deep understanding of how small businesses evaluate and utilize products and services.
  • Experience with analytical frameworks, rating systems, or structured evaluations.
  • Ability to simplify complex business concepts for non-experts.
  • Proven capability to influence stakeholders across various teams.

Responsibilities

  • Own and define the SMB methodology strategy across multiple business domains.
  • Establish clear evaluation frameworks reflecting user needs and market conditions.
  • Develop proprietary metrics and datasets for editorial use and marketing data products.
  • Set research and data collection requirements, collaborating with various teams for quality assurance.
  • Establish quality standards for SMB methodologies and documentation.
  • Mentor analysts and serve as the internal expert for SMB dynamics.
  • Collaborate with editorial and product teams to translate methodology into credible rankings.

Benefits

  • Flexible remote work arrangements.
  • Opportunities for professional development and mentorship.
  • Access to proprietary market insights and datasets.
  • Collaborative work environment across multiple departments.
Full Job Description
Role Overview:

We're looking for a senior small business expert to lead how we define, collect and assess data within Forbes Advisor's SMB vertical. As Head, SMB Methodology & Data, you'll own the strategic vision and execution for Forbes Advisor's SMB methodologies and data products spanning business formation, accounting, payroll, payments, communications, HR and business operations software.

You'll work cross-functionally to turn complex business products, operational workflows, regulations and customer needs into clear, defensible scoring frameworks and structured datasets.

This is a hands-on strategy and leadership role: part SME, part architect of how our SMB rankings and data products work and evolve.

Responsibilities:

  • Own SMB methodology strategy across formation, banking, accounting, payroll, payments, communications, HR, lending and business operations software.
  • Define clear, defensible evaluation frameworks that reflect SMB user needs, market realities and update cadence.
  • Shape proprietary SMB metrics and structured datasets for rankings, editorial use and potential data products.
  • Define research and data collection requirements; partner with testing, data and research teams to ensure evidence quality.
  • Establish quality standards for SMB methodologies, scoring models, documentation and analyst work.
  • Mentor analysts and serve as the internal SME for SMB market dynamics, methodology design, and data quality.
  • Partner with editorial, SEO, product, commercial, testing and data teams to translate methodology into credible rankings and scalable data products.


Qualifications:

Must-Have

  • 5+ years of experience in SMB products, services, SaaS, fintech, operations, consulting, analytics, product management or related fields.
  • Deep understanding of how small businesses evaluate, buy and use products or services to start, operate and grow.
  • Experience building or overseeing analytical frameworks, rating systems, benchmarking programs, structured evaluations or data products.
  • Strong ability to translate complex business, financial, operational or technical concepts into clear guidance for non-experts.
  • Proven ability to influence cross-functional stakeholders and guide work across editorial, product, commercial, analytics, research or testing teams.

Nice-to-Have

  • Experience at a review site, marketplace, ratings organization, fintech, SaaS provider, business services company or SMB data provider.
  • Familiarity with model governance, validation, QA or audit processes for scoring/rating systems.
  • Experience using testing, surveys, secret shopping, customer research or market research in methodology or decision-making frameworks.
  • Exposure to proprietary datasets, scoring engines, commercial data products or large-scale comparative product evaluations.


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