Talent Acquisition Manager

eClinical Solutions

. Lead eClinical Solutions’ end-to-end hiring engine from employer branding and candidate attraction through AI-enabled screening and hiring measurement .

Posted 10/13/2026full-timeMansfield • Massachusetts • United StatesSeniorLead💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in talent acquisition with a focus on AI-driven recruiting processes, candidate experience, and employer branding. Proven ability to analyze recruiting metrics and implement effective hiring strategies in fast-paced environments.

Highest-signal resume keywords

Talent Acquisition StrategyAI-Driven ATS ExperienceRecruiting Process DesignEmployer Branding Best PracticesPredictive Analytics Application

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Recruiting Process OwnershipCandidate EvaluationSourcing StrategyHiring Metrics AnalysisWorkforce Planning

Soft Skills

Excellent CommunicationCoaching SkillsCollaborationIndependent Work

Tools & Technologies

GreenhouseHireVueEightfoldSeekOutWovenPI

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

AI-Enabled ScreeningClinical Data ServicesBiometricsTechnical RolesLife Sciences

About the role

Key responsibilities & impact

Lead eClinical Solutions’ end-to-end hiring engine from employer branding and candidate attraction through AI-enabled screening and hiring measurement
Partner with hiring managers across Engineering, Clinical Data Services, Biometrics, and Corporate functions
Build a modern, AI-first recruiting function while preserving human judgment and candidate experience
Assess and build a world-class talent function for a scaling global organization
Own end-to-end requisition management from intake through offer across technical and clinical hiring teams
Build and maintain employer brand assets, including job posts, careers site content, and social outreach
Develop and nurture passive-candidate pipelines for hard-to-fill R&D, Product, clinical data, biometrics, and technical roles
Advise hiring managers on sourcing strategy, interview design, and candidate evaluation
Translate business needs into clear hiring criteria through intake conversations
Own hiring scorecards covering time-to-fill, quality-of-hire, source effectiveness, and candidate experience; report performance to leadership
Redesign recruiting workflows to remove manual, repetitive tasks
Partner with department leaders on workforce planning and anticipating hiring needs and skill gaps
Ensure hiring practices meet quality standards and applicable employment regulations
Embed AI-assisted sourcing, candidate ranking, scorecards, and screening tools into recruiting workflows
Define standards for fair, explainable, and compliant AI use in screening decisions
Use AI analytics to measure hiring outcomes and optimize sourcing channels and screening criteria
Coach hiring managers to interpret AI-generated candidate insights

Requirements

What you’ll need

Bachelor’s degree
7-10+ years in talent acquisition
At least 4-5 years owning recruiting process, tooling, or program strategy in a fast-paced technology environment
Direct experience using AI-driven ATS features, LLM-based sourcing tools, or recruiting automation platforms
Experience recruiting for technical, data, or life sciences/clinical roles is a strong plus
Solid understanding of recruiting process design, candidate experience, and employer branding best practices
Ability to turn recruiting metrics into clear, defensible hiring decisions
Proven ability to work independently while collaborating effectively in a fast-paced environment
Excellent communication, coaching, and hiring-manager partnership skills
Hands-on experience with Greenhouse
Experience with AI-driven ATS platforms, LLM-based sourcing/screening tools, or recruiting automation such as HireVue, Eightfold, SeekOut, or similar
Experience with Woven, PI, and other assessment tools
Experience applying predictive analytics to hiring-funnel and quality-of-hire metrics
Familiarity with AI-assisted candidate engagement and personalization tools
Understanding of secure and responsible AI usage in hiring, including fairness and compliance considerations
Adherence to company policies, protection of confidential information, validation of AI-generated content, and sound professional judgment

Benefits

Comp & perks

Hybrid work arrangement with 4 days per month in the office
Work-life balance
Professional skills and career development opportunities
Inclusive, people-first culture
Opportunities to learn, grow, and continuously improve
Remote Work Top Workplaces USA Award recognition
Equal opportunity employment