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Senior Data Product Owner Jobs in Spring, TX (NOW HIRING)

You will: * Assist the Product Owner in maintaining and prioritizing the product backlog based on ... Conduct research, gather data, and analyze system processes to understand user needs and identify ...

Senior Technical Product Owner

Houston, TX

$120K - $159K/yr

Interpret data to inform insights and recommendations. Uphold and reinforce professional and ... As a Technical Product Owner, you will lead the charge in driving innovation within our Advisory ...

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n ... Product, Data and Design teams to assist with data\-related technical issues and support their data ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data ... Owns production incident response for data pipelines and semantic-model refreshes, diagnosing ...

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... Strong communication and product-facing exposure are equally important. Key Responsibilities: Build ...

... Senior Technical Product Owner - Manager, you will lead the charge in developing innovative ... Data & Analytics projects - Developing skills outside comfort zones and encouraging others to do ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... We are A Part of Something Bigger by improving the performance and aesthetics of end products ...

Showing results 21-40

Senior Data Product Owner information

See Spring, TX salary details

$36.9K

$100.5K

$146.4K

How much do senior data product owner jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data product owner in Spring, TX is $100,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $115,200.00 per year, depending on experience, location, and employer.

What is a senior data product owner?

A Senior Data Product Owner is a leadership role responsible for defining the strategy, vision, and roadmap of data-driven products within an organization. They act as a bridge between business stakeholders and technical teams, ensuring that data products align with business goals and deliver value. Their responsibilities include prioritizing product features, managing the product backlog, and overseeing the development process. Senior Data Product Owners typically have experience in data analytics, product management, and stakeholder communication. They play a crucial role in maximizing the impact of data assets and fostering a data-driven culture.

What is the difference between Senior Data Product Owner vs Data Analyst?

AspectSenior Data Product OwnerData Analyst
Required CredentialsTypically requires a bachelor’s degree in business, IT, or related field; certifications like Certified Scrum Product Owner (CSPO) are commonUsually requires a bachelor’s degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are beneficial
Work EnvironmentWorks closely with product teams, stakeholders, and engineering to define data products and roadmapsAnalyzes data sets, creates reports, and provides insights to support decision-making
Employer & Industry UsageCommon in tech, finance, and e-commerce industries focusing on data-driven productsWidely used across industries for data analysis and reporting tasks

The Senior Data Product Owner focuses on managing data products, defining requirements, and collaborating with cross-functional teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong analytical skills, but the Product Owner emphasizes product management and stakeholder communication.

How does a senior data product owner typically collaborate with data engineers and other stakeholders to ensure successful product delivery?

A Senior Data Product Owner works closely with data engineers, analysts, business stakeholders, and sometimes data scientists to translate business needs into actionable product requirements. They facilitate regular meetings such as sprint planning and backlog grooming to prioritize features and clarify expectations. Communication is key, as the Senior Data Product Owner must balance technical feasibility with business value, ensuring that all parties are aligned on project goals and timelines. This collaborative approach helps to overcome challenges related to data quality, integration, and evolving business objectives.

What are the key skills and qualifications needed to thrive as a senior data product owner?

To thrive as a Senior Data Product Owner, you need strong skills in data analytics, product management, and a solid understanding of data governance, typically supported by relevant experience or a degree in a related field. Familiarity with tools like SQL, Tableau, Jira, and Agile methodologies, as well as possible certifications such as Certified Scrum Product Owner (CSPO), is often expected. Exceptional stakeholder management, communication, and strategic thinking are crucial soft skills for aligning technical teams and business objectives. These abilities ensure the development of high-impact data products that drive organizational value and support informed decision-making.

What are the most commonly searched types of Data Product Owner jobs in Spring, TX?

The most popular types of Data Product Owner jobs in Spring, TX are:

What are popular job titles related to Senior Data Product Owner jobs in Spring, TX?

For Senior Data Product Owner jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Senior Data Product Owner jobs in Spring, TX look for?

The top searched job categories for Senior Data Product Owner jobs in Spring, TX are:

What cities near Spring, TX are hiring for Senior Data Product Owner jobs?

Cities near Spring, TX with the most Senior Data Product Owner job openings:

MDM Stibo Product Owner

Sacrum Technologies LLC

Houston, TX • On-site

Other

Posted 13 days ago


Job description

Product Owner- MDMIntroduction

At SACRUM, we believe that the strongest results come from the strongest teams. When talented people unite with purpose, innovation becomes inevitable. Join us. Let’s create, collaborate, and make extraordinary things happen together.

Work: Hybrid 4 days in the office- Mon to Thursday. Friday work from home.

Interview Process: -1st round virtual, 2nd round onsite - Candidates must be local to Houston, TX

Role Summary

The MDM Product Owner is responsible for defining, prioritizing, and delivering Master Data Management capabilities that support trusted, governed, and business-ready master data across the enterprise. This role manages the MDM roadmap, user experience, workflow design, business rules, and integration requirements. The Product Owner serves as the bridge between business stakeholders, data governance, technology, QE, and downstream system owners to ensure solutions are usable, scalable, and aligned to business outcomes.

Seeking a high-caliber MDM Product Owner to drive the enterprise vision, roadmap, and execution of the Stibo STEP platform. This role involves designing scalable workflows, defining business rules, and bridging complex data needs between business stakeholders and engineering teams. As the champion for trusted data, the successful candidate will manage data domains, hierarchies, and enterprise integration patterns.

Key ResponsibilitiesProduct Ownership & Strategy
  • Own the MDM product vision, roadmap, backlog, and prioritization in partnership with business stakeholders.
  • Translate business needs into clear requirements, user stories, acceptance criteria, and product decisions.
  • Lead backlog refinement, sprint planning, demos, release reviews, and prioritization discussions.
Stakeholder Engagement
  • Serve as the primary liaison between business teams, MDM, QE, engineering, and downstream system owners.
  • Facilitate requirement-gathering, design discussions, issue triage, and prioritization sessions.
  • Communicate product decisions, release impacts, open questions, and risks to both technical and business audiences.
Data Governance & Quality
  • Define data standards, validation rules, business rules, stewardship workflows, and Stibo MDM product requirements.
  • Partner with business and governance teams to resolve data ownership, definition, and rule gaps.
  • Analyze and profile data to identify quality issues, inconsistencies, root causes, and product improvement opportunities.
  • Partner with MDM developers and data engineers to design, validate, refine, and support platform behavior.
Integration Design
  • Define integration requirements between MDM and upstream/downstream enterprise systems.
  • Partner with engineering teams on source-to-target mappings, data contracts, validation logic, transformation expectations, and error handling.
  • Support triage of integration errors, data mismatches, validation failures, and downstream synchronization issues.
Required Qualifications & Skills
  • Bachelor’s degree in Information Systems, Data Management, Computer Science, Engineering, or related field.
  • 7+ years of experience across product ownership, MDM, data management, business analysis, governance, or enterprise systems delivery.
  • Experience managing product backlogs, writing user stories, defining acceptance criteria, and delivering in Agile environments.
  • Strong understanding of MDM concepts, including data domains, hierarchies, governance, stewardship, workflows, and data quality.
  • Demonstrated ability to make product decisions and align cross-functional teams.
  • Strong communication skills with both technical and business stakeholders.
  • Working knowledge of SQL and dataset analysis for profiling, validation, troubleshooting, and requirements clarification.
  • Understanding of enterprise integration patterns, including API, batch, and file-based integrations.
  • Ability to define and interpret integration requirements, mappings, validation rules, error scenarios, downstream impacts, and interface documentation.
Preferred / Nice-to-Have Skills
  • Stibo MDM (STEP) experience.
  • Exposure to Snowflake, dbt, MuleSoft, SFTP/Axway, AWS Glue, S3, or other cloud/integration platforms.
  • Experience with data governance tools such as Atlan.
  • Experience with Jira, Agile delivery, QE coordination, UAT sign-off, and release management.
Success Outcomes
  • Improved usability, adoption, and operational efficiency of MDM workflows.
  • Improved data quality, completeness, consistency, and trust.
  • Clear, actionable backlog aligned to business priorities.
  • Reduced recurring integration issues, data mismatches, and downstream synchronization problems.