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Head of Methodology & Data, SMB at Forbes Advisor | JobVerse
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Head of Methodology & Data, SMB
Forbes Advisor
Remote
Website
LinkedIn
Head of Methodology & Data, SMB
United States
Full Time
4 hours ago
No Visa Sponsorship
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Key skills
Analytics
SaaS
Product Management
About this role
Role Overview
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.
Requirements
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.
Experience at a review site, marketplace, ratings organization, fintech, SaaS provider, business services company or SMB data provider (nice-to-have).
Familiarity with model governance, validation, QA or audit processes for scoring/rating systems (nice-to-have).
Exposure to proprietary datasets, scoring engines, commercial data products or large-scale comparative product evaluations (nice-to-have).
Benefits
Equal employment opportunities to all employees and applicants for employment.
Prohibits discrimination and harassment of any type.
This policy applies to all terms and conditions of employment.
Apply Now
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