Lead Talent Advisor

Title: Lead Talent Advisor

Location: Gurugram(Hybrid- 3 days from office)

Responsibilities:

Responsible for end-to-end delivery across Technology, product, operation & non-tech hiring

Candidate shall be responsible for managing hiring across all levels based out of the Gurgaon office and working directly with senior business leaders

Should be a mature individual having sound communication skills and have delivered quality work within TAT and under minimal supervision.

Ability to quickly draw up external acumen, map market intelligence that can influence business leaders on talent solutions

Should be self-driven to plan, execute to talent strategies defined across different business units

Closely work with peers within people operations team and Finance team to plan for budgeted hiring and proactive hiring

Advise the leadership on the talent availability and affordability

Work with internal teams and hiring managers to assist with recruitment efforts & deliver with velocity

Develop and recommend sourcing strategy to achieve the right source mix

Discovering and exploring new efficient, effective, and sustainable candidate channels to meet current and future leadership talent needs

Develop specialized or competitive intelligence and research regarding talent development or retention

Use social media, job boards, Internet sourcing, and other technical means to source candidates for open jobs.

Required:

Bachelors degree in any discipline, preferably Human Resources

8-12 years of experience in recruitment, including handling IT and Non-IT roles.

Hands-on with experience in hiring, preferably in a mix of both technology and domain-based roles, preferably R&D setup

Analytical mindset and expertise in excel and similar tools

Excellent Communication & Stakeholder management skills

Experience in understanding cultural differences across geographies

Should be able to define commitment and meet deadlines

Experience in R&D, Tech Start-up, high-growth companies will be preferred

Ability to deliver to TA analytics, use data for decision making and articulate stories through data for better outcomes