Talent Acquisition Lead

1 week ago

Noida, Uttar Pradesh, India LUMIQ Full time US$ 12,00,000 - US$ 36,00,000 per year

Role Summary

We are looking for a seasoned
Talent Acquisition Lead
who brings expertise in hiring in roles across
Data Science & analytics, AI/ML, Cloud, Data Engineering, and Software Development.
The role requires a strong ability to source high-caliber technology talent using
AI enabled recruitment tools
, partner with business leaders, bring data-driven rigor to hiring outcomes, that help improve hiring speed, quality and decision-making. This role offers the space to drive innovation in talent acquisition while partnering closely with business leaders to shape workforce strategy.

Key Responsibilities:

  • Drive hiring strategy for Data Engineering, Data Science, AI and Analytics roles in partnership with business stakeholders.
  • Build proactive, curated pipelines by leverage AI-powered tools for sourcing, screening, talent mapping and process automation while identifying new solutions to boost hiring effectiveness.
  • Manage full recruitment lifecycle from talent identification to onboarding, ensuring a smooth candidate experience.
  • Build and nurture strong sourcing channels including passive talent pipelines.
  • Provide insights on talent availability, market benchmarks and competitive hiring trends.
  • Lead, coach and develop a team of recruiters to adopt modern hiring practices.
  • Implement data driven hiring insights and use data to optimize sourcing, improve selection reliability and improve TAT
  • Track hiring performance metrics (TAT, Offer to Joining Ratio etc) and continuously optimize recruitment processes.
  • Partner with branding teams to strengthen company presence in the tech talent market.

Skills & Traits

  • Deep knowledge
    of the Data and AI talent landscape.
  • Ability to design and execute data-driven hiring strategies leveraging AI insights.
  • Excellent communication, stakeholder engagement and problem-solving skills.
  • People leadership with a continuous improvement mindset.
  • Curiosity and willingness to keep learning new AI tools and industry trends to enhance hiring outcomes.

Preferred Educational Qualification & Experience

  • 10–12 years of talent acquisition experience with strong focus on
    Data Science, AI, ML, Cloud, Data Engineering, Software Engineering
    domains.
  • Hands-on experience using
    AI-based platforms
    in recruitment such as chatbots, automated sourcing, intelligent screening or analytics dashboards.
  • Comfortable with data driven hiring metrics and spreadsheets.
  • Strong stakeholder management experience handling critical and niche talent needs.
  • Solid understanding of ATS, sourcing platforms and technical assessment methods.
  • Graduate or postgraduate degree in HR or related discipline.

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