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

Sr. Data Engineer

Houston, TX · On-site

$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 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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

A Senior Data Engineer to help design, build, and scale a modern cloud data platform centered on ... Support data products and applications such as news intelligence, asset intelligence, analytics ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Fracht Group - North America is seeking a Senior Data Engineer who will design, build, and own the ... products and translates them into sound, maintainable warehouse structures. • Creates and ...

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 41-60

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 23, 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 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.

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 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.

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:

Sr. Data Engineer

mBridge Solutions

Houston, TX • On-site

$105K - $127K/yr

Contractor

Re-posted 22 days ago


Job description

\n <\/head>\n \n \n
\n mbridge is seeking an experienced Data engineer for a leading Oil and Gas client in Houston, TX.
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Job Title: Senior Data Engineer<\/b>
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\n Contract: 12 months plus<\/b>
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\n Location: Houston, TX<\/b>
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\n N<\/u>ote: Only Houston, TX candidates<\/u><\/b>\n <\/div>\n
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\n \- Responsibilities:<\/b>
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\n \-Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
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\n \-Work with stakeholders including the Executive, Product, Data and Design teams to assist with data\-related technical issues and support their data infrastructure needs.
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\n \-Create data tools for analytics and data scientist team members that assist them in
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\n \-Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional \/ non\-functional business requirements.
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\n \-Work with data and analytics experts to strive for greater functionality in our data systems.
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\n \-Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re\-designing infrastructure for greater scalability, etc.
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\n \-Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies.
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\n building and optimizing our product into an innovative industry leader.
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Requirements<\/h3>\n
\n Required Qualifications:<\/b>
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\n \- Minimum 10+ years of experience
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\n \-Analytics\/data product solution architecture on Azure (Azure Data Factory, Databricks)
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\n \-Data extract, load and transformation techniques and tools including orchestration of needed azure resources
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\n \-Azure analytics services
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\n \-Programming, scripting (Python, SQL, Scala)
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\n \-Analytics data frameworks (Spark etc.)
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\n \-Data architecture concepts understanding (relational and dimensional data models)
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\n \-Information security
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\n \-Software engineering tools and methodologies (e.g. Agile, ADO, Ansible, GIT)
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