Lead, Product Management (Human Capital Products)

We are looking for a product manager to join our Human Capital Products team based in the firm’s offices in Hyderabad / Bengaluru / Gurugram, to support the ongoing development of data infrastructure that enables people analytics. This team manages technology that optimizes human capital processes and empowers the firm to make data-driven talent decisions. This role offers the chance to collaborate with analytics, technology, and human capital teams to deliver scalable, secure, and flexible business intelligence solutions -including leveraging generative AI to derive insights from non-traditional data sources - in an engaging and collegial working environment.

• • The candidate should have a bachelor’s degree or higher and at least six years of total work experience with at least 3 years in product management. Previous experience working as a developer, or a data engineer would be a plus. • Experience working directly with data engineers, data scientists, and software developers, on ETL designs, business intelligence infrastructure, or API specifications, is required. • Familiarity with best practices and functional expertise in data modeling, data architecture, and data infrastructure is preferred, as is experience with generative AI infrastructure (e.g., vector databases). • The ideal candidate should have experience in metadata management, data catalog and data lineage skills, Data Warehousing and ETL concepts. • Should be comfortable with SQL. Familiarity with data warehouse technologies such as Snowflake or Redshift is a plus but not required. • The candidate should have experience in collaborating with software developers and analytics professionals on schema, API and ETL pipeline designs. • • Excellent written and verbal communication (including explaining complex, technical ideas to a non-technical audience), organizational skills, a customer service mindset, and quick problem-solving abilities are critical. • Attention to detail, effective teamwork, project ownership, and the ability to exercise extreme discretion with confidential information are all essential.