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Data Product Manager Jobs in Georgetown, TX (NOW HIRING)

Data Analytics with Product Management Location: Austin, Texas - Hybrid (3D onsite, 2D Remote) Duration: 12+ Months * At least 10+ years of experience in product management, data platform delivery ...

Digital Product Manager - The Digital Product Manager will support ongoing Marketing Data Product Management activities, ensuring smooth continuity for business intake, requirements development ...

Data Product Management, Analytics & BI Development, and AI/ML Operations. Owns strategy, portfolio planning, and delivery of governed data products-reports, dashboards, APIs, curated datasets, ML ...

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Data Product Manager information

See Georgetown, TX salary details

$47.9K

$148.1K

$183K

How much do data product manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data product manager in Georgetown, TX is $148,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $183,000.00 per year, depending on experience, location, and employer.

What is a data product manager?

A Data Product Manager is a professional responsible for overseeing the development, launch, and management of data-driven products or solutions within an organization. They bridge the gap between technical teams, such as data engineers and scientists, and business stakeholders to ensure that data products meet user needs and drive business value. Their role includes defining product vision, prioritizing features, and ensuring data quality and usability, while also focusing on compliance and ethical considerations regarding data use.

How does a data product manager typically collaborate with data engineers and analysts on a project?

A Data Product Manager works closely with data engineers and analysts to define product requirements and ensure data solutions align with business goals. They facilitate communication by translating business needs into technical specifications and prioritize tasks within the team. Regular meetings and agile ceremonies help the Data Product Manager keep everyone aligned, address roadblocks, and incorporate feedback. This close collaboration ensures that data products are both technically robust and deliver real value to end users.

What are the key skills and qualifications needed to thrive as a data product manager, and why are they important?

To thrive as a Data Product Manager, you need a strong background in data analytics, product management, and business strategy, often supported by a degree in a quantitative field and relevant experience. Familiarity with data visualization tools (like Tableau), SQL, analytics platforms, and agile product management frameworks is typically required. Excellent communication, stakeholder management, and problem-solving abilities help you translate complex data insights into actionable product features. These skills ensure that data-driven products are developed effectively, meet user needs, and drive business value.

What is the difference between Data Product Manager vs Data Analyst?

AspectData Product ManagerData Analyst
Primary FocusDeveloping data products, strategy, and roadmapsAnalyzing data to generate insights and reports
Skills & CertificationsData management, product management, SQL, data visualizationData analysis, SQL, Excel, statistical tools
Work EnvironmentCross-functional teams, product development lifecycleData analysis teams, reporting environments
Industry UsageTech, finance, healthcare, where data products are builtBusiness intelligence, marketing, operations

The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple stakeholders, tight deadlines, and the need to deliver data-driven solutions. The role requires strong organizational skills and the ability to prioritize tasks, which can contribute to a high-pressure environment, especially in fast-paced industries.

What job categories do people searching Data Product Manager jobs in Georgetown, TX look for?

The top searched job categories for Data Product Manager jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Data Product Manager jobs?

Cities near Georgetown, TX with the most Data Product Manager job openings:

Infographic showing various Data Product Manager job openings in Georgetown, TX as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $148,107 per year, or $71.2 per hour.

Full-time

Re-posted 4 days ago


Key responsibilities

  • Build dashboards, self-service tools, and reports to analyze and present data related to customer experience, product performance, business operations, and strategic decision-making.

  • Create datasets, develop global dashboards, data pipelines, and scalable ad-hoc reporting, and implement security controls.

  • Partner with Data Science, Product, Business, Engineering, and Marketing teams to define requirements, influence measurement strategies, and develop tools to support stakeholders.


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Product Manager for one of our client, Please share your resume with current location & full contact info
Role: Data Product Manager
Location: Austin & Cupertino - Onsite
Job Summary:
Key Qualification
7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
Proficiency with data visualization tools such as Tableau, , and/or Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
Excellent communication, social, and presentation skills with meticulous attention to detail.
Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description
Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
Closely partner with our Data Science team to define metrics, datasets, and automation strategy
Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
Education
Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.
Technical Product Management
Key Qualifications :
โ€ข Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
โ€ข Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
โ€ข Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
โ€ข Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
โ€ข Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
โ€ข Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com