Strategy Associate, AI Transformation & Playbooks

Harvey

San Francisco (CA)

On-site

USD 116,000 - 160,000

Full time

37 hours ago
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Job summary

Harvey is building a Transformation Office and seeks a Strategy Associate to turn raw inputs into playbooks, analyses, and executive-ready materials that scale transformation for leading clients. You will work with senior partners and gain exposure to Harvey leadership, with travel up to 25%.

This high-ownership role requires strong quantitative skills, a track record in strategy consulting, and a drive to codify best practices into repeatable frameworks.

Qualifications

  • 2–3 years at a top-tier strategy consulting firm (MBB — McKinsey, BCG, Bain — or equivalent).
  • Exceptional quantitative and data analysis skills; proficient in Excel/Sheets.
  • Track record of building playbooks, frameworks, or repeatable methodology.
  • Exposure to transformation, change management, and strategy work in professional services.

Responsibilities

  • Turn data into insight: analyze adoption/usage data and build models that tell what drives transformation.
  • Build scalable playbooks, templates, and methodology for engagements.
  • Capture best practices from engagements into repeatable materials and stakeholder maps.
  • Create executive-ready communications (narratives, decks, one-pagers) for senior partners and leadership.
  • Drive cross-functional coordination across Legal Engineering, GTM, and Customer Success.

Skills

Strategy Consulting
Quantitative Analysis
Excel/Sheets
BI Tools
SQL
Data storytelling

Tools

Omni
Looker
Tableau

Job description

Harvey is building a Transformation Office and seeks a Strategy Associate to turn raw inputs into playbooks, analyses, and executive-ready materials that scale transformation for leading clients. You will work with senior partners and gain exposure to Harvey leadership, with travel up to 25%.

This high-ownership role requires strong quantitative skills, a track record in strategy consulting, and a drive to codify best practices into repeatable frameworks.

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