Technical Product Owner, Data Management – Operations

Cengage Group

. Develop Data Management & Operations strategy, priorities, roadmaps, and investment plans .

Posted 10/16/2026full-timeOhio • United StatesMid-LevelSenior💰 $101,900 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Management and Operations strategy, with a strong ability to translate complex data concepts for diverse audiences. Proven track record in portfolio management, data governance, and collaboration with senior leadership to drive actionable priorities.

Highest-signal resume keywords

Data ManagementPortfolio ManagementData GovernanceData Engineering ConceptsAgile Delivery Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesETL/ELTData IntegrationData ModelingData StorageAPIsData WarehousesCloud Data PlatformsSQLPython

Soft Skills

Analytical SkillsProblem-SolvingSystems ThinkingCollaborationCommunication

Tools & Technologies

SnowflakeSAPSalesforceData PlatformsData LakesData Lakehouses

Certifications & Qualifications

DAMA-DMBOKCDMP Certification

Industry Keywords

Data QualityMetadata ManagementData Governance PoliciesOperational Performance IndicatorsCapacity Planning

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Develop Data Management & Operations strategy, priorities, roadmaps, and investment plans
Turn strategy into a portfolio of initiatives, capabilities, operational developments, and technology investments
Evaluate emerging business and technology needs, opportunities, and gaps
Provide leadership with portfolio health, competing priorities, capacity constraints, dependencies, risks, and decisions requiring attention
Act as a liaison with business and technology leaders
Translate sophisticated data concepts for technical and non-technical audiences
Represent leadership in forums and decision-making discussions
Build relationships across business functions and technology organizations
Shape scalable data capabilities and champion data management methods
Drive adoption of data quality practices and alignment with data governance policies, standards, and practices
Identify systemic gaps and opportunities across data processes
Drive portfolio, program, and delivery execution
Coordinate implementation with program/project managers and technical teams
Maintain visibility into delivery progress and oversee relevant backlogs
Make prioritization and tradeoff decisions
Set and track expectations for data capabilities
Use operational performance indicators to identify improvement opportunities
Prioritize initiatives that reduce operational burden, increase automation, and improve maintainability
Balance new capabilities, operational improvements, risk remediation, technical debt, and platform health
Provide leadership and coordination for significant cross-functional operational issues
Advance Data Management & Operations workflows and success indicators

Requirements

What you’ll need

Extensive background in technical product ownership, technology business collaboration, portfolio/program oversight, data management, data operations, business analysis, or a related technology role
Experience working alongside data engineering teams and translating business and technical requirements into well-defined engineering assignments
Understanding of data engineering concepts, including data pipelines, ETL/ELT, data integration, data modeling, data storage, APIs, data warehouses/lakes/lakehouses, cloud data platforms, and batch and/or real-time data processing
Knowledge of data quality, metadata, lineage, governance, security, access, and lifecycle management
Experience with monitoring, reliability, incident management, performance, scalability, and service-level expectations for data platforms
Capability to collaborate with senior leaders on strategy and convert strategic direction into actionable priorities
Experience representing a technology or data function with senior business and technology collaborators
Experience managing sophisticated portfolios or roadmaps involving multiple initiatives, collaborators, dependencies, competing priorities, and constrained capacity
Foundational knowledge of enterprise data management and data governance
Experience with enterprise data platforms and applications; familiarity with Snowflake, SAP, Salesforce, or comparable technologies preferred
Practical understanding of operational and analytical data modeling concepts
Strong analytical, systems-thinking, and problem-solving skills
Capability to grasp technical architecture and engineering compromises
Experience working across Agile and other technology delivery practices
Familiarity with SQL and/or Python is a plus
Familiarity with DAMA-DMBOK and/or CDMP certification preferred
Experience contributing to technology investment planning, arguments, vendor evaluations, capacity planning, or other portfolio-level investment decisions preferred
Bachelor’s degree in computer science, Information Systems, Data Management, Business, or a similar field, or equivalent work experience

Benefits

Comp & perks

Discretionary incentive bonus program with a 15% annual individual target
Comprehensive Total Rewards package
Reasonable accommodations for qualified individuals with disabilities