Senior Talent Acquisition Specialist

Zohorecruit; Mumbai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Zohorecruit in Mumbai seeks a strategic Senior Talent Acquisition Specialist to drive end-to-end recruitment for niche Data, AI, and Data Science roles. You will lead targeted headhunting, build robust pipelines, and engage passive candidates across geographies and tech stacks.

The role requires deep technical recruitment expertise and proactive stakeholder collaboration. You will partner with CTOs/CIOs and engineering leaders, map market trends, and manage offers end-to-end, ensuring alignment

Qualifications

• 6-8 years of experience in technical recruitment for niche Data/AI roles.
• Demonstrated headhunting, passive candidate outreach and market mapping.
• Deep knowledge of Data, AI and Data Science talent markets.
• Strong network within top technology firms or AI groups.
• Excellent communication, influencing and stakeholder management.

Responsibilities

• Lead end-to-end recruitment across Data Eng, Data Science, ML/GenAI and related domains.
• Translate requirements into targeted sourcing strategies and pipelines.
• Personally headhunt and map talent pools across geographies and stacks.
• Engage passive candidates and manage offer discussions and negotiations.
• Build relationships with CTOs/CIOs and engineering leaders.
• Provide market intelligence on compensation, trends and competitor hiring.
• Partner with hiring managers as a trusted advisor on hiring strategy.

Skills

Head hunting

Passive candidate outreach

Talent mapping

End-to-end recruitment

Sourcing strategy

Relationship building

Digital sourcing

Stakeholder management

Offer negotiations

Education

MBA or Postgraduate in HR/Business Management

Tools

LinkedIn Recruiter

GitHub

Boolean search

Boolean/X-ray search

Job description

We are looking for a strategic, research-driven Senior Talent AcquisitionSpecialist to drive targeted end-to-end recruitment for niche Data, AI, and Data Science roles. This role requires deep technical recruitment expertise, proactive headhunting, and talent mapping to engage passive candidates in non-volume hiring scenarios.

Key Responsibilities

End-to-End Talent Acquisition

Full Lifecycle Hiring

Manage end-to-end recruitment across Data Engineering, Data Science, Machine Learning, Generative AI, MLOps, Data Architecture, Cloud Data, and Advanced Analytics.

Sourcing Strategy

Translate complex technical job requirements into targeted sourcing strategies and build robust talent pipelines for immediate and future needs.

Headhunting & Targeted Search

Proactive Search

Personally lead targeted headhunting efforts and map talent pools across companies, geographies, and technology stacks to engage high-caliber passive candidates.

Relationship Building

Employ creative engagement approaches and foster long-term relationships with niche technical professionals.

Digital Sourcing

Utilize LinkedIn Recruiter, GitHub, Boolean/X-ray search, professional communities, and digital channels to identify technical talent.

Market Intelligence

Provide leadership with actionable insights on market trends, skills availability, compensation standards, competitor hiring patterns, and talent concentrations.

Stakeholder & Candidate Management

Strategic Partnership

Partner closely with CTOs, CIOs, and engineering leaders as a trusted advisor to calibrate requirements and set hiring strategies.

Offer Management

Articulate complex technology opportunities to candidates and effectively manage end-to-end offer discussions and negotiations.

Technical Focus Areas

Candidates must possess functional familiarity across the following technical domains to conduct intelligent screenings:

• Data & Engineering: Big Data, Data Warehousing, Data Architecture, Databricks, Snowflake, ETL/ELT, SQL.
• Cloud & Modern Stack: AWS/Azure/GCP, Data Lakes/Lakehouse, Data Governance.
• Data Science & Analytics: Applied/ML/Decision Scientists, Product Analytics, Advanced Analytics, Business Intelligence.

Key Requirements & Differentiators

• Experience: 6-8 years of experience in technical recruitment with a proven track record of hiring niche Data, AI, and Data Science talent.
• Search Expertise: Demonstrated expertise in headhunting, passive candidate outreach, LinkedIn Recruiter, Boolean search, and structured market mapping.
• Technical Depth: Ability to differentiate subtle skill sets (e.g., Data Engineer vs. ML Engineer vs. GenAI Specialist) beyond simple keyword matching.
• Network: Strong network within top technology firms, AI companies, product organizations, or specialized consulting practices.
• Soft Skills: Exceptional communication, influencing, executive presence, and stakeholder management capabilities.
• Education: MBA or Postgraduate degree in HR or Business Management.