Lead, Product Management (Human Capital Products)
D. E. Shaw
Hyderabad, Bengaluru, Gurugramonsiteseniorfull time3d ago
D. E. Shaw
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.
Who we're looking for:
The ideal candidate should hold-
Basic 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
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