Data Management & Operations Product Owner

Cengage Learning Inc.; EE. UU.; Presencial; USD 102.000 - 163.000; Jornada completa

Descripción de la vacante

Cengage Learning Inc. is seeking a Technical Product Owner for Data Management & Operations to partner with Data Engineering and leaders across the business.

You will define priorities, translate data needs into technical specs, and guide delivery of scalable, well-governed data capabilities that support business goals. You will help shape multi-year roadmaps, enable strategic conversations, and ensure data platforms meet operational and analytical requirements while driving continuous

Formación

• Extensive background in technical product ownership and data operations.
• Experience translating business requirements into engineering tasks.
• Understanding of data pipelines, ETL/ELT, data modeling, and data platforms.

Responsabilidades

• Develop Data Management & Operations strategy, priorities, and roadmaps.
• Collaborate with leadership to translate business problems into actionable data solutions.
• Drive portfolio health, priorities, dependencies, risks, and decisions.
• Lead cross-functional coordination with data engineering and business teams.
• Ensure data governance, quality, and standardization across platforms.
• Coordinate delivery with program managers and technical teams.
• Advance data capabilities while balancing new work and maintenance.

Conocimientos

Technical product ownership

Data management

Data engineering concepts

SQL / Python familiarity

Educación

Bachelor’s degree in CS or related field

Herramientas

Snowflake

SAP

Salesforce

Descripción del empleo

Cengage Learning Inc. is seeking a Technical Product Owner for Data Management & Operations to partner with Data Engineering and leaders across the business.

You will define priorities, translate data needs into technical specs, and guide delivery of scalable, well-governed data capabilities that support business goals. You will help shape multi-year roadmaps, enable strategic conversations, and ensure data platforms meet operational and analytical requirements while driving continuous