Bachelor's degree or higher with 4-8 years of relevant experience in product management.
Proficient in data analysis and transformation using Excel, SQL, and Python.
Experience collaborating with data engineers, data scientists, and software developers.
Strong communication skills for articulating technical concepts to non-technical stakeholders.
Attention to detail and project ownership in data product management.
Familiarity with data modeling and architecture best practices is preferred.
Experience with generative AI technologies is a plus.
Responsibilities
Design efficient ETL processes to meet stakeholder requirements while ensuring data quality.
Develop the API layer for centralized business logic and user permissions.
Enhance data accessibility using generative AI techniques for natural-language querying and semantic search.
Collaborate with stakeholders to identify business needs and define technical requirements.
Oversee the development, testing, and implementation of data infrastructure solutions.
Manage stakeholder relationships and participate in agile sprint planning activities.
Acquire in-depth knowledge of proprietary and third-party human capital systems.
Benefits
Medical and prescription drug coverage.
401(k) contribution matching.
Wellness reimbursement program.
Family building benefits.
Charitable gift match program.
Full Job Description
What you'll do day-to-day
Design efficient ETL transformations and model data schemas that transform stakeholder needs into well-structured, scalable data sets, paying close attention to data quality and integrity.
Help build the API layer that governs data access: centralizing business logic and enforcing permissions, while defining the contracts and boundary conditions to provide a consistent, reliable interface for downstream products and consumers.
Shape generative-AI capabilities that make data more accessible and unlock more sources of data, through natural-language querying, semantic search, and agentic workflows.
Partner with reporting, developer, and data scientist stakeholders to understand business needs, design technical solutions, and specify precise, clear requirements-anticipating edge cases up front.
Oversee development, testing, and rollout across the data infrastructure layers.
Own stakeholder relationships and share responsibility for sprint planning, backlog grooming, and providing operational support for the existing data product.
Gain a deep, detailed understanding of the proprietary systems and third-party products that make up the firm's human capital systems landscape.
What we're looking for
A bachelor's degree or higher and four to eight years of relevant experience in product management, along with experience designing, implementing, and scaling data and analytics products.
Keen data analysis and transformation skills, including proficiency with Excel, SQL, and Python.
Experience working directly with data engineers, data scientists, and software developers on ETL design, business intelligence infrastructure, or API specifications.
Excellent written and verbal communication, including the ability to explain technical ideas to a non-technical audience, along with organizational skills, a customer service mindset, and quick problem-solving abilities.
Attention to detail, effective teamwork, project ownership, and the ability to exercise discretion with confidential information.
Familiarity with best practices and functional expertise in data modeling, data architecture, and data infrastructure is preferred.
Experience with generative AI infrastructure and techniques-such as vector databases, retrieval-augmented generation (RAG), semantic search, agentic workflows, and natural-language querying of data-is a plus.
The expected annual base salary for this position is $185,000 to $250,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.
