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ActiveSeen 1w ago

Business Development Consultant – Data & AI

Harnham·📍 Phoenix, Arizona, United States

Employment

FULL TIME

Work mode

Hybrid

Experience

Not stated

Salary

$60K – $80K/yr

Role overview

Job description

We’re hiring a Business Development Manager with a proven track record of new client acquisition and revenue growth in permanent recruitment . This is a brand-new role for a true hunter who thrives on winning new accounts, building lasting client relationships, and driving growth in one of the fastest-growing markets. Proactively identify, target, and acquire new client accounts. Build relationships with hiring managers and senior decision makers. Partner with recruiters to deliver top Data & AI permanent talent. Manage the full business development cycle: from prospecting to pitching to signing agreements. Work with leadership to shape go-to-market and growth strategies. Consistently generate new opportunities to expand revenue and market share. Proven success in permanent recruitment business development — you’ve repeatedly brought on new clients and delivered results. Strong hunter mentality with the drive to build and grow a client base from scratch. Excellent communication, presentation, and negotiation skills. Entrepreneurial, resilient, and results-driven mindset. Knowledge of Data & AI, tech, or related industries (a plus). If you’re an experienced recruitment professional with a hunter’s mentality and a proven record of new client acquisition in permanent recruitment , this is your opportunity to make a real impact with a global leader in Data & AI recruitment.

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About this listing

  • Source: Harnham's official careers site · still listed there on 11 Nov 2026
  • First seen by Jobiba 3 Nov 2026

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What they are looking for

Skills & requirements

Department · US Sales

Hiring company

Harnham

Finance & Banking

Harnham Data Recruitment, Analytics Staffing & Data Talent Development across Data Science, Advanced Analytics, Digital Analytics, Life Science Analytics, Data & Technology, Data Engineering, Risk Analytics, and Computer Vision

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