Talent Acquisition Lead

Role Summary

Talent Acquisition Lead

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.