Lead, Product Management (Human Capital Products)

D. E. Shaw India · Hyderabad

Source and collection record

Last observed by our collector: 8 October 2026 at 11:19 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 7010

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Collected minimum qualification: • 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.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

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. In this role, you will partner with developers and analytics/business intelligence professionals to design efficient data transformations that support visually engaging analytics products. You will work closely with stakeholders to understand business needs, design technical solutions, specify requirements, and oversee development, testing, and rollout. You will own relationships with internal stakeholders and share responsibility for sprint planning, backlog grooming, and providing operational support for existing ETLs. Additionally, you will gain a broad understanding of the proprietary systems and third-party products that make up the firm’s human capital systems landscape. • 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.

Collected minimum qualification

• 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.

Collected experience requirement

6+ years