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Associate Data Manager Jobs in Texas (NOW HIRING)

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that ... The Associate Data Engineer is an early-career engineer learning the full HR Analytics data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Strategy-Manager

Austin, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Strategy-Manager

Dallas, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Strategy-Manager

Fort Worth, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Work collaboratively with data owners, department managers, data engineers and other stakeholders ...

New

Data Governance- Manager

Austin, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Governance- Manager

Fort Worth, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Work collaboratively with data owners, department managers, data engineers and other stakeholders ...

New

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Work collaboratively with data owners, department managers, data engineers and other stakeholders ...

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Associate Data Manager information

See Texas salary details

$13

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How much do associate data manager jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for associate data manager in Texas is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $36.49 per hour, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of an associate data manager typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with certifications in data management tools can earn higher salaries.

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

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

What jobs in the US pay 300,000 a year?

For an Associate Data Manager, earning $300,000 annually is uncommon; such high salaries are typically associated with executive roles, senior data leadership positions, or specialized consulting roles in large organizations. These roles often require extensive experience, advanced skills in data management tools, and sometimes certifications or advanced degrees.

What does an associate data manager do?

An associate data manager is responsible for collecting, organizing, and maintaining data within an organization. They often use database tools and software to ensure data accuracy, security, and accessibility, supporting data analysis and decision-making processes. This role typically requires attention to detail and familiarity with data management systems.

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

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

Is 40 too late for data science?

For an Associate Data Manager or similar data-related roles, starting a career in data science at age 40 is feasible, especially with relevant skills like programming, statistics, and experience with tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can support this shift.

What are some common challenges faced by Associate Data Managers when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.
What are the most commonly searched types of Data Manager jobs in Texas? The most popular types of Data Manager jobs in Texas are:
What are popular job titles related to Associate Data Manager jobs in Texas? For Associate Data Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Data Manager jobs in Texas look for? The top searched job categories for Associate Data Manager jobs in Texas are:
What cities in Texas are hiring for Associate Data Manager jobs? Cities in Texas with the most Associate Data Manager job openings:
HCM- Dallas- Associate, Data Analytics and Reporting- 9625494

HCM- Dallas- Associate, Data Analytics and Reporting- 9625494

Goldman Sachs

Dallas, TX • On-site

$58K - $58K/yr

Other

Re-posted 4 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks


Job description

Job Duties: Associate, Data Analytics and Reporting with Goldman Sachs Services LLC in Dallas, Texas. Develop and implement AI (Artificial Intelligence) driven and automation solutions to enhance business processes, leveraging Natural Language Processing and Machine Learning, to streamline workflows and improve decision-making. Identify trends, anomalies and opportunities for operational efficiency by performing Exploratory Data Analysis and develop predictive models. Collaborate with stakeholders across other regions such as APAC, EMEA, or Americas to gather requirements, identify automation opportunities and support planning and adoption of digital solutions. Translate complex analytical results into clear, actionable insights and recommendations that influence strategic decisions and drive adoption. Contribute to the incubation and scaling of low-code/no-code applications, promoting innovation and alignment with the firm's technology architecture. Manage multiple concurrent projects from initiation to closure, defining scope, developing detailed project plans, ensuring timely delivery of objectives for all assigned projects and creating deliverable documentation. Facilitate training sessions and promote data-driven culture by building reusable analytical tools and automated workflows, following software development best practices to ensure consistency and scalability.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Information Systems Management, Data Analytics for Science, Computer Science, Business Analytics or a related field with one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Information Systems Management, Data Analytics for Science, Computer Science, Business Analytics or a related field with three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year of experience (with a Master's) or three (3) years of experience (with a Bachelor's) in the following: developing and maintaining stakeholder or client relationships with cross-functional business stakeholders to gather requirements and deliver analytical solutions; simultaneously managing multiple projects, including defining requirements, creating comprehensive project charters and schedules, and reporting on progress to stakeholders, ensuring alignment with strategic objectives across all initiatives; utilizing Python to develop automation tools and perform data transformation analysis; utilizing visualization tools, including at least one of Power BI, Tableau, or Looker; working with Database systems, including Relational Database Management Systems (such as Snowflake), NoSQL databases (such as MongoDB or Google Analytics), and centralized repository (such as Data Lake); applying statistics and data analysis techniques, such as regression, correlation analysis, time series modeling, and Exploratory Data Analysis (EDA), to identify patterns and detect anomalies; providing training and guidance on advanced data analysis approaches, such as Natural Language Processing or Generative Artificial Intelligence, to enable stakeholders to integrate these technologies into their workflows; and managing risks in data automation projects by ensuring data accuracy and enforcing robust data governance policies with strict confidentiality and access controls for highly sensitive employee information.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.


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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869