Talent Acquisition Manager (Data and Analytics hiring)

Job Summary

We are looking for an experienced Deputy Manager Talent Acquisition to lead our Data and

Analytics hiring strategy across India. You will own the end-to-end recruitment lifecycle for specialized

technical roles. Partnering closely with senior business and tech leaders, you will build proactive talent

pipelines, scale our data organization, and champion data-driven recruitment practices.

Key Responsibilities

• End-to-End Recruitment: Manage full-lifecycle recruitment for complex, niche Data and Analytics roles across various experience levels in India (e.g., Bengaluru, Mumbai, Pune, NCR/Hyderabad).
• Stakeholder Partnership: Collaborate with Engineering Directors, Head of Data Science, and HR Business Partners to forecast hiring demand, define role criteria, and design targeted assessment processes.
• Specialized Sourcing & Niche Networks: Build strong pipelines for hard-to-find technical talent using advanced Boolean search and platforms like LinkedIn Talent Solutions and Naukri.
• Team Leadership & Mentorship: Lead, coach, and develop a team of technical recruiters, driving high performance, quality-of-hire, and operational excellence.
• Data-Driven TA Metrics: Track, analyze, and report on key recruitment metrics (Time-to-Fill,Cost-per-Hire, Pass-through rates, and Source-of-Hire) using ATS platforms and MIS dashboards.
• Employer Branding in Tech: Elevate our brand in the Indian data engineering and analytics ecosystem through tech blogs, hackathons, community meetups, and engaging candidate experiences.
• Market Intelligence: Deliver labor market mapping, salary benchmarking, and talent supply-demand insights to executive leadership.

Required Qualifications & Experience

• Education: Bachelors degree in Business, Human Resources, Computer Science, or a related field (MBA/PGDM is a strong plus).
• Experience: 6 to 9 years of total experience in talent acquisition, with a minimum of 3+ years team leading experience.
• Domain Knowledge: Deep understanding of the Data & Analytics tech stack (e.g., Python, SQL, Spark, Snowflake, Databricks, AWS/Azure/GCP, Tableau/PowerBI, LLMs/MLOps) to effectively vet and converse with technical candidates.
• Tools & Tech: Hands-on experience with modern Applicant Tracking Systems (ATS like Greenhouse, Lever, or Workday), CRM tools, and recruitment analytics.
• Competencies: Strong stakeholder management, executive presence, consultative communication, and a problem-solving mindset.Role & responsibilities