5 дней назад
Product Manager – Data Warehouse (AI)
185 000 - 250 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Manager – Data Warehouse (AI): Developing scalable, secure data infrastructure and business intelligence products for human capital analytics with an accent on ETL transformations, data modeling, API design, and generative AI. Focus on designing reliable data-access layers, enabling natural-language querying and semantic search, and coordinating development across analytics, technology, and human capital stakeholders.
Location: New York, United States; onsite role
Salary: $185,000–$250,000 annual base salary, plus variable compensation and benefits.
Company
is an investment and technology firm developing data infrastructure and analytics products for human capital decision-making.
What you will do
- Design ETL transformations and data schemas that produce scalable, reliable datasets with strong data quality and integrity.
- Build the API layer for governed data access, including business logic, permissions, interface contracts, and boundary conditions.
- Develop generative AI capabilities for natural-language querying, semantic search, agentic workflows, and insights from unstructured data.
- Partner with reporting, software development, data science, analytics, and human capital stakeholders to define technical solutions and precise requirements.
- Oversee development, testing, rollout, sprint planning, backlog grooming, and operational support for the data product.
- Build detailed knowledge of proprietary and third-party human capital systems.
Requirements
- Bachelor’s degree or higher and four to eight years of relevant product management experience.
- Experience designing, implementing, and scaling data and analytics products.
- Proficiency with Excel, SQL, and Python, with strong data analysis and transformation skills.
- Experience working with data engineers, data scientists, and software developers on ETL design, business intelligence infrastructure, or API specifications.
- Strong written and verbal communication, organization, problem-solving, teamwork, ownership, attention to detail, and discretion with confidential information.
- Familiarity with data modeling, data architecture, and data infrastructure is preferred.
Nice to have
- Experience with generative AI infrastructure and techniques, including vector databases, retrieval-augmented generation, semantic search, agentic workflows, and natural-language data querying.
Culture & Benefits
- Collaboration across analytics, technology, and human capital teams.
- Year-end variable compensation, guaranteed in the first year of hire.
- Medical and prescription drug coverage.
- 401(k) contribution matching and wellness reimbursement.
- Family building benefits and a charitable gift match program.
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