Technical Recruiter - Data Management

We are seeking a Technical Recruiter with deep expertise in our core capability areas, including but not limited to Data Engineering, Analytics, and AI hiring. This role requires exceptional hands-on sourcing capabilities, a passion for non-traditional and alternate sourcing channels, and the ability to partner closely with hiring managers and senior business leaders. The ideal candidate has a strong background in full-cycle hiring within large system integrators or global services organizations and brings a consultative, data-driven approach to talent acquisition.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.

• 3-7 years of total recruiting experience, predominantly in full-time hiring
• Strong experience hiring for:
• Data Engineers, Analytics Engineers, Data Scientists, AI/ML Engineers, Applied Scientists

Cloud Data & Platform roles

• Proven background in large system integrators / global IT or analytics services firms (strong advantage)
• Demonstrated success in deep technical sourcing beyond traditional platforms
• Excellent stakeholder management and influencing skills
• Strong understanding of candidate assessment, compensation alignment, and closing strategies

Base Base Compensation Range: $35-40hr

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate''s skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

• Strategic Talent Acquisition
• Own end-to-end recruitment for niche and high-impact roles across Data Engineering, Analytics, AI/ML, Cloud & Digital technologies
• Develop and execute proactive talent sourcing strategies, anticipating future skill demands and business growth
• Act as a trusted advisor to hiring managers and senior stakeholders on talent availability, market trends, and hiring strategies
• Advanced Sourcing & Market Intelligence
• Demonstrate mastery in alternate sourcing channels beyond LinkedIn, including:
• GitHub, Kaggle, Stack Overflow, Reddit, Discord, Slack communities

Open-source communities, tech blogs, meetups, hackathons, and referrals

Boolean search expertise across search engines and niche platforms

• Build strong passive candidate pipelines for critical and recurring capabilities
• Leverage data, talent market insights, and competitive intelligence to influence hiring decisions
• Stakeholder & Candidate Experience Management
• Partner closely with hiring managers, delivery leaders, and business heads to drive clarity on role requirements, team needs, and success profiles
• Drive high-quality candidate experience from first contact through onboarding
• Manage expectations, timelines, and communication with complete transparency and professionalism
• Operational Excellence
• Maintain accurate reporting and documentation in ATS and TA dashboards
• Drive hiring velocity, quality, and diversity outcomes
• Contribute to hiring process improvements, interview calibration, and TA best practices
• Strategic Talent Acquisition
• Own end-to-end recruitment for niche and high-impact roles across Data Engineering, Analytics, AI/ML, Cloud & Digital technologies
• Develop and execute proactive talent sourcing strategies, anticipating future skill demands and business growth
• Act as a trusted advisor to hiring managers and senior stakeholders on talent availability, market trends, and hiring strategies
• Advanced Sourcing & Market Intelligence
• Demonstrate mastery in alternate sourcing channels beyond LinkedIn, including:
• GitHub, Kaggle, Stack Overflow, Reddit, Discord, Slack communities

Open-source communities, tech blogs, meetups, hackathons, and referrals

Boolean search expertise across search engines and niche platforms

• Build strong passive candidate pipelines for critical and recurring capabilities
• Leverage data, talent market insights, and competitive intelligence to influence hiring decisions
• Stakeholder & Candidate Experience Management
• Partner closely with hiring managers, delivery leaders, and business heads to drive clarity on role requirements, team needs, and success profiles
• Drive high-quality candidate experience from first contact through onboarding
• Manage expectations, timelines, and communication with complete transparency and professionalism
• Operational Excellence
• Maintain accurate reporting and documentation in ATS and TA dashboards
• Drive hiring velocity, quality, and diversity outcomes
• Contribute to hiring process improvements, interview calibration, and TA best practices