Technical Data Management Product Owner

Cengage Group; Ohio; On-site; USD 102,000 - 163,000; Full time

Job summary

Cengage is seeking a Technical Product Owner for Data Management & Operations to partner with Data Engineering and lead data initiatives across the organization. You will drive prioritization, translate complex data needs into actionable specs, and guide the delivery of scalable, well-governed data capabilities that support business and technology objectives.

The role sits at the intersection of data engineering, governance, and operations, and involves building multi-year roadmaps, coordinating

Qualifications

• Requires extensive experience in data management, governance, and operations.
• Demonstrated leadership in strategic business and technology collaboration.
• Proven ability to translate complex data concepts for diverse audiences.
• Experience managing sophisticated data portfolios or roadmaps with multiple initiatives.

Responsibilities

• Develop Data Management & Operations strategy, priorities, roadmaps, and investment plans.
• Coordinate with data leaders to transform data needs into feasible technical specs and ensure delivery of data capabilities.
• Collaborate with governance teams to align data quality, metadata, lineage, and security.
• Drive adoption of data quality practices and governance policies across teams.
• Oversee data operations, monitoring, incident management, and platform health.
• Work with cross-functional teams to align initiatives with business objectives and enterprise data strategy.

Skills

Data governance

Product ownership

Portfolio management

Agile

Stakeholder management

SQL

Python

Data modeling

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Business or similar

Tools

Snowflake

SAP

Salesforce

Job description

Cengage is seeking a Technical Product Owner for Data Management & Operations to partner with Data Engineering and lead data initiatives across the organization. You will drive prioritization, translate complex data needs into actionable specs, and guide the delivery of scalable, well-governed data capabilities that support business and technology objectives.

The role sits at the intersection of data engineering, governance, and operations, and involves building multi-year roadmaps, coordinating