AI-Driven Talent Advisory & Delivery – Equity & Growth

MFS Investments

Boston (MA)

Hybrid

USD 60,000 - 75,000

Full time

14 days+

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Job summary

DraftKings is seeking a Talent Advisory & Delivery Associate in Boston to manage full-cycle searches for technology and analytics roles. You will build pipelines, engage talent, and partner with hiring leaders while increasingly leveraging AI-enabled tools to streamline recruiting processes.

The role emphasizes strong sourcing, stakeholder communication and data-driven decision making in a fast-paced, high-growth environment.

Qualifications

  • 2+ years recruiting experience in high-growth environments.
  • Experience handling full-cycle searches, esp. for technology/analytics roles.
  • Ability to translate hiring needs into search plans.
  • Strong research and sourcing capabilities.
  • Comfort using recruiting tech and ATS (Workday a plus).

Responsibilities

  • Understand teams' priorities, talent needs and market landscape.
  • Manage searches from intake through hire with clear search plans.
  • Build and maintain talent pipelines for current and future roles.
  • Use market data and feedback to share insights with leaders and teammates.
  • Create thoughtful candidate and stakeholder experiences with clear communication.
  • Leverage AI and recruiting tech to support research, sourcing and workflows.
  • Collaborate with People Teams to move hiring priorities forward.
  • Maintain accurate recruiting data and track progress.

Skills

Recruiting experience
Sourcing
Candidate management
Stakeholder comms

Education

Bachelor’s degree preferred

Tools

Workday
AI recruiting tools

Job description

DraftKings is seeking a Talent Advisory & Delivery Associate in Boston to manage full-cycle searches for technology and analytics roles. You will build pipelines, engage talent, and partner with hiring leaders while increasingly leveraging AI-enabled tools to streamline recruiting processes.

The role emphasizes strong sourcing, stakeholder communication and data-driven decision making in a fast-paced, high-growth environment.

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