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Data Manager Jobs in Spring, TX (NOW HIRING)

Seadrill

Data Analytics Manager 90150

Houston, TX · On-site

The Manager partners closely with business function leaders across the enterprise to prioritize the highest-value analytics outcomes, ensures robust data governance through Microsoft Purview, and ...

bwp

Manager Data and Analytics

Houston, TX · On-site

We are currently looking for a Manager Data & Analytics for our Houston, TX office. POSITION DESCRIPTION: Leads the development and execution of enterprise data and analytics capabilities to drive ...

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Workpath

Part Time Data Entry Clerk

Houston, TX

$16.25 - $21.75/hr

You will report to a data manager or another senior data team member. The company will rely on you for having accurate and updated data that are easily accessible through a digital database.

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All JobsData JobsData Manager JobsData Manager Jobs in Spring, TX

Data Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data manager in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

What are the key skills and qualifications needed to thrive as a Data Manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Spring, TX? The most popular types of Data jobs in Spring, TX are:
What job categories do people searching Data Manager jobs in Spring, TX look for? The top searched job categories for Data Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Manager jobs? Cities near Spring, TX with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.

Data Analytics Manager 90150

Seadrill

Houston, TX • On-site

Full-time

Posted 3 days ago

Job description

Lead Seadrill's Data, Business Intelligence, and Digital Innovation function - transforming operational and corporate data into decision-ready insight and championing AI, automation, and modern data platform adoption across the business as part of the ISIT strategy. This role owns the analytics platform roadmap and governs data and digital-innovation delivery executed largely through outsourced MSP vendor and external resources. The Manager partners closely with business function leaders across the enterprise to prioritize the highest-value analytics outcomes, ensures robust data governance through Microsoft Purview, and sets the strategic direction for emerging technologies including Microsoft Fabric, Foundry AI framework, and Azure AI/ML capabilities.

SAFETY AT SEADRILL
Our goal is to ensure that 'nobody gets hurt' whilst performing their job. Everyone at Seadrill has a part to play in meeting our safety commitment.

Through strong leadership and personal responsibility from all employees, we take a systematic approach to identifying, managing and preventing the hazards involved in our day to day operations.

Nothing is more important to us than the health, safety and security of our workforce and the communities in which we operate and behaving responsibly towards our shared environment.

We are vigilant, disciplined and always looking out for one another. We have developed and embedded a strong safety culture onshore and offshore, fostered by all employees, who each have a personal responsibility and the authority to put an immediate stop to the job if they believe it to be unsafe.

Everyone at Seadrill is accountable for helping to build this culture of care. This includes:

  • Compliance with the Seadrill Code of Conduct and Fight Against Corruption.
  • Compliance with applicable internal and external governing requirements.
  • Non-compliances are promptly acted on and reported to the direct supervisor.
  • The standard for tidiness and cleanness is adhered to.
  • Good and clear communications with all involved parties.

SEADRILL BEHAVIORAL FRAMEWORK
In Seadrill, setting the standard is not just about what we deliver, but how we deliver it. We co-created our Behavioral Framework with our employees, where we identified four key competencies that define our culture and help us to live our values. Our behaviors are embedded in the way we work and support and guide us day to day:

  • Drive & Ownership
  • Change & Forward Thinking
  • Communication & Collaboration
  • Service Delivery
DIVERSITY 
This position is also for people with disabilities.

We recognize that our people are key to helping us to achieve our vision, so we have fostered a culture that encourages, supports and celebrates diversity of all kinds. It fuels our innovation and connects us closer to our customers and the communities we operate in.

JOIN SEADRILL
We value our people and want to retain them. So, we offer a competitive package built around an attractive base salary and a range of benefits tailored to your location.

Join Seadrill. Own the Opportunity.

Minimum Requirements

Bachelor's degree in Data, Computer Science, or related field.

Preferred

Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer (DP-203), Oracle Fusion Data Intelligence, or equivalent Microsoft/Oracle data platform certifications.

  •  Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and the data products serving Finance, HR, Supply Chain, and offshore Operations; oversee migration from legacy SQL Data Warehouse to Microsoft Fabric Lakehouse architecture.

  • Execute the data and AI roadmap, including prioritized AI and automation use cases leveraging Microsoft Foundry AI framework, Azure AI/ML, and cognitive services; translate business strategy from Finance, HR, Supply Chain, and Operations into a structured analytics delivery plan.

  • Direct delivery of reporting, dashboards, and analytics - performed largely by MSP vendor and external resources - with the Data Platform Lead setting technical standards; ensure delivery follows Agile/DevOps practices and meets agreed quality and governance benchmarks.

  • Establish data governance, data quality, and architecture standards in partnership with the Data Platform Lead; implement and maintain Microsoft Purview for data cataloguing, lineage tracking, classification, and compliance across all enterprise data assets.

  • Identify and pilot emerging technologies (AI, automation, Gen AI, advanced analytics) using Microsoft Foundry AI framework and Azure AI services; evaluate business cases and scale successful proofs-of-concept into production solutions.

  • Partner with business functions to prioritize the highest-value analytics and measure realized benefit.

  • Manage the delivery pipeline, intake prioritization, and stakeholder expectations across MSP vendor and external resources; effectively collaborate cross-functionally with business managers and BU leaders to align analytics investments with business outcomes.

Knowledge Skills and Experience

Essential

  • Minimum 10 years of experience in Data, BI, or analytics, including at least 3 years in a leadership or management capacity overseeing teams or delivery programmes.
  • Strong technical foundation in Power BI, SQL, and data modeling concepts (star schema, DAX, tabular models); working knowledge of SSIS, SSRS/SSAS, and SQL/Oracle relational databases; understanding of SQL Data Warehousing and migration to cloud-native architectures.
  • Demonstrated delivery of AI/automation or digital-innovation initiatives; strong understanding of Microsoft Fabric, Azure AI/ML, and Foundry AI framework capabilities with the ability to evaluate and guide technical decisions.
  • Proven experience directing MSP vendor and outsourced/external delivery partners; ability to hold vendors accountable while maintaining constructive and effective working relationships.
  • Ability to translate business strategy into a data and analytics roadmap; strong executive stakeholder management and communication skills, with experience partnering with Finance, HR, Supply Chain, and Operations function leaders.
  • Strong data governance acumen; understanding of Microsoft Purview for data cataloguing, lineage, and compliance at enterprise scale.
  • Ability to set and achieve aggressive goals; excellent analytical, report writing, and documentation skills; proficiency with MS Excel and Agile/DevOps delivery practices.

Desired

  • Oil & gas or offshore drilling domain experience, with familiarity in Finance, HR, Supply Chain, and offshore operations data and reporting.
  • Familiarity with Oracle Fusion ERP (financials, EPM, SCM, HCM) and Maximo as enterprise data sources.
  • Hands-on or architectural experience with Microsoft Fabric (Lakehouse, OneLake, Data Factory, Semantic Models), Azure data services, and Microsoft Foundry AI framework.
  • Statistical analysis, data science, or AI/ML deployment experience; understanding of Kimball methodology.
  • Oracle, Microsoft, or Cognos certification; PMP or similar programme management qualification.

Apply