Lead, Product Management (Human Capital Products)

DE Shaw India · Bengaluru · 6–9 yrs experience · Posted 2026-07-01

Tech stack: SQL

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About the role

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.

Responsibilities:
- 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.

Qualifications:
- A bachelor’s degree or higher and 6 to 9 years of relevant experience in product management, as is experience in designing, implementing, and scaling data and analytics products
- Proficiency in basic SQL and advanced working knowledge of Excel
- Experience working directly with data engineers, data scientists, and software developers, on ETL designs, business intelligence infrastructure, or API specifications
- Familiarity with best practices and functional expertise in data modeling, data architecture, and data infrastructure, as is experience with generative AI infrastructure (e.g., vector databases)
- 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
- Attention to detail, effective teamwork, project ownership, and the ability to exercise extreme discretion with confidential information

Qualifications

- A bachelor’s degree or higher and 6 to 9 years of relevant experience in product management, as is experience in designing, implementing, and scaling data and analytics products
- Proficiency in basic SQL and advanced working knowledge of Excel
- Experience working directly with data engineers, data scientists, and software developers, on ETL designs, business intelligence infrastructure, or API specifications
- Familiarity with best practices and functional expertise in data modeling, data architecture, and data infrastructure, as is experience with generative AI infrastructure (e.g., vector databases)
- 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
- Attention to detail, effective teamwork, project ownership, and the ability to exercise extreme discretion with confidential information

Responsibilities

- 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.

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