AI Data Product Lead - Data Quality & Strategy

Howard Hughes Medical Institute (HHMI); Chevy Chase (MD); Ibrido; USD 150.000 - 188.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive pay

Exceptional health benefits

Retirement plans

Time off

Wellness programs

Descrizione del lavoro

Howard Hughes Medical Institute (HHMI) in Chevy Chase, MD, is seeking an AI Data Product Owner to own data requirements and product definitions for AI initiatives. You will translate sponsor needs into measurable acceptance criteria and drive delivery from scoping through early production support.

This hybrid role requires collaboration with the AI Accelerator team and the Principal Knowledge & Data Architect to align data sources, quality, and knowledge layers for reliable AI outputs.

Competenze

• At least five years in product management or senior business analysis with technical delivery teams.
• Experience identifying data dependencies and defining data quality, lineage, and readiness.
• Ability to translate business needs into measurable specifications.

Mansioni

• Identify the data behind each product and map source systems, datasets, and knowledge domains.
• Define data quality and readiness requirements with measurable criteria.
• Specify what must be curated for AI, coordinating with architects and engineers.
• Turn business needs into buildable specifications and acceptance criteria.
• Manage requirements through production and coordinate with sponsors and delivery partners.
• Support discovery and intake triage by interviewing stakeholders and assessing value/risk.

Conoscenze

Product management

Data requirements

AI products

Stakeholder communication

Requirements discipline

Prioritization

Formazione

Bachelor’s degree

Strumenti

Knowledge graphs

Medallion architectures

Data pipelines

Descrizione del lavoro

Howard Hughes Medical Institute (HHMI) in Chevy Chase, MD, is seeking an AI Data Product Owner to own data requirements and product definitions for AI initiatives. You will translate sponsor needs into measurable acceptance criteria and drive delivery from scoping through early production support.

This hybrid role requires collaboration with the AI Accelerator team and the Principal Knowledge & Data Architect to align data sources, quality, and knowledge layers for reliable AI outputs.