Talent Acquisition Manager

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Role Overview:

We're looking for a Talent Acquisition Manager, with expertise in Managing Recruitment for Data Engineering /Data Science, and Analytics hiring plays a critical role in shaping the organization's data-driven capabilities by attracting and hiring top talent in these highly specialized fields. Manage critical stakeholder relationships and provides strategic insights that help guide complex decision making processes.

Mode of working:

Team Size:

Location:

Key Responsibilities:

The Talent Acquisition Manager is responsible for developing and executing strategies to attract, engage, and hire top-tier professionals. They serve as a strategic partner to business leaders and hiring managers, aligning hiring efforts with business objectives in a competitive and fast-evolving talent market.

1. Strategic Workforce Planning

- Collaborate with business leaders, HR, and technical teams to understand short- and long-term hiring needs.

- Develop hiring plans, Establishing SLAs aligned with the Business Goals

- Stay informed about industry trends, market conditions, and emerging technologies in data.

2. Talent Sourcing & Pipeline Development

Build and maintain a strong pipeline of candidates for roles such as:

- Data Engineers (e.g., Spark, Hadoop, Airflow, Snowflake)

- Data Scientists (e.g., ML, Python, NLP, Computer Vision)

- Data Analysts/BI Analysts (e.g., SQL, Tableau, Power BI)

- Leverage a mix of sourcing channels: LinkedIn, GitHub, Kaggle, Stack Overflow, employee referrals, and campus hiring.

3. Employer Branding & Candidate Engagement

- Position the company as an employer of choice in the data space.

- Create content and campaigns targeting data professionals (e.g., webinars, blog posts, meetups, hackathons).

- Craft compelling job descriptions and recruitment materials tailored for data professionals.

4. Full-Cycle Recruitment

- Manage end-to-end recruitment: sourcing, screening, interviewing, and offer negotiation.

- Collaborate with hiring managers to define role requirements and ideal candidate profiles.

- Implement structured interview processes, including technical assessments

5. Stakeholder Management

- Act as the primary liaison between candidates and internal stakeholders (CTOs, Heads of Data, HRBPs).

- Provide regular hiring updates, metrics, and insights to leadership.

6. Data-Driven Recruiting

- Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.

- Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress

- Optimize hiring funnel using recruitment metrics and KPIs.

Qualifications:

- Preferably with Bachelors Degree (BE / BTech - CS) from Tier I / II universities like IITs / NITs and MBA from Top Tier B-schools (IIM) preferred

- 12-14 Years of Experience in Data Engineering, Data Science, and Analytics Hiring.

- Should have Managed High performing teams and conducted Performance management exercises

- Deep understanding of data roles, tech stacks, and industry benchmarks.

- Strong stakeholder and project management abilities.

- Excellent communication and interpersonal skills, ability to manage data driven discussions with CXOs

- Analytical mindset and familiarity with recruiting analytics platforms.

- Proficiency in using ATS (Greenhouse etc.) and sourcing tools (LinkedIn Recruiter, Naukri, etc.).