Data Operations Manager Jobs in Austin, TX
Data Operations Manager jobs in Austin are in strong demand, concentrated in the Domain, downtown's Congress Avenue corridor, and the emerging East Austin tech cluster across fintech, enterprise software, healthtech, and logistics. Employers hiring right now include Apple, Brivo, and Google. Scan the live roles below and apply to whichever ones fit.
Find Data Operations Manager JobsOverview
Open roles99
Top employerApple
Work type50% On-site
Top credentialBachelor's degree
Companies hiring17
Showing 5 of 99+ Data Operations Manager jobs
Data Scientist (Sales Operations)
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Added 1d ago
AMD
Data Scientist (Sales Operations)
Austin, Texas
Added 1d ago
Data Center Operations Technician
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Added 2d ago
Brivo
Data Center Operations Technician
Austin, Texas
Added 2d ago
Sales Operations Data & Systems Sr. Analyst
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Added 2d ago
Brivo
Sales Operations Data & Systems Sr. Analyst
Austin, Texas
Added 2d ago
Operations Junior Data & Staffing Analyst
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Added 5d ago
Kahana & Feld LLP
Operations Junior Data & Staffing Analyst
Austin, Texas
Added 5d ago
Data Center Operations Tier II Technician
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Added 5d ago
LightEdge
Data Center Operations Tier II Technician
Austin, Texas
Added 5d ago
Added 1d ago
Data Scientist (Sales Operations)
AMD·Austin, Texas
Job functions:
Hybrid
Bachelor's degree in statistics
5,001-10,000 employees
Job Description
Overview:
THE PERSON:
KEY RESPONSIBILITIES:
QUALIFICATIONS:
#LI-RF1
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
Responsibilities:
THE ROLE:
We are seeking a highly skilled Data Scientist to lead initiatives in advanced analytics, predictive modeling, and generative AI for our Sales Operations org. This role combines statistical expertise, machine learning, and cutting-edge generative models to deliver actionable insights that drive strategic decisions across multiple business areas. As part of our team, you will collaborate with cross-functional teams to optimize revenue, improve operations, and empower sales and marketing professionals by leveraging data-driven solutions and AI to minimize manual tasks, enabling them to focus more efficiently on selling products.
THE PERSON:
The person we are looking for should have passion in data science. He/she has strong SQL and programming skills (Python is preferred) and has a good understanding of statistics and machine learning algorithms.
KEY RESPONSIBILITIES:
- Predictive Modeling & Machine Learning:
- Develop and deploy predictive models using machine learning algorithms (e.g., XGBoost, Random Forest) to address business challenges such as customer segmentation and revenue forecast.
- Build end-to-end ML pipelines from data ingestion to model deployment, ensuring scalability and reliability.
- Time-Series Forecasting:
- Create robust time-series forecasting models for revenue, demand, and operational metrics using techniques like ARIMA, Prophet, Bayesian methods, and hybrid approaches.
- Partner with finance, sales, and operations teams to integrate forecasts into strategic planning and decision-making processes.
- Generative AI & Advanced Analytics:
- Design and implement generative AI solutions (e.g., LLMs, GANs) for business applications such as information retrieval, workflow automation, and AI-driven decision systems.
Data Pipeline & Infrastructure:
- Collaborate with data engineering teams to design and maintain scalable data pipelines using tools like Airflow, KNIME, or custom shell scripting.
- Leverage big data frameworks (e.g., Snowflake, Hadoop, Spark) for efficient data processing and storage.
- Exploratory Data Analysis & Visualization:
- Perform exploratory data analysis to uncover patterns and insights from structured and unstructured data sources.
- Develop visualizations using tools such as Plotly, Matplotlib and Seaborn to communicate findings effectively to stakeholders.
- Collaboration & Impact Measurement:
- Work closely with business leaders, data engineers, and BI teams to align on business needs and deliver impactful solutions.
- Monitor model performance post-deployment and iterate on models to ensure continued business impact.
- Continuous Learning & Innovation:
- Stay updated on emerging technologies in AI, machine learning, and generative models.
- Experiment with new tools and techniques to enhance team capabilities and drive innovation.
QUALIFICATIONS:
-
Education:
Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. - Technical Skills:
- Proficiency in Python, SQL, and other programming languages.
- Strong understanding of machine learning algorithms and statistical techniques.
- Hands-on experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and frameworks for generative AI.
- Familiarity with time-series forecasting methods and tools.
- Experience working with big data technologies (e.g., Snowflake, Hadoop, Spark).
- Basic knowledge of UNIX shell scripting (Bash, Zsh).
- Experience:
- Minimum of 3+ years of experience in data science or related fields.
- Demonstrated ability to deliver end-to-end ML projects from start to finish.
- Experience with version control tools like Git and GitHub.
- Business Acumen:
- Ability to translate technical insights into actionable business strategies.
- Strong communication skills to effectively collaborate with cross-functional teams.
This role is not eligible for visa sponsorship.
LOCATION:
Austin, TX
#LI-RF1
#LI-HYBRID
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
AMD
Data Scientist (Sales Operations)
Austin, Texas
Added 1d ago5,001-10,000 employees
Job functions:
Hybrid
Bachelor's degree in statistics
Job Description
Overview:
THE PERSON:
KEY RESPONSIBILITIES:
QUALIFICATIONS:
#LI-RF1
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
Responsibilities:
THE ROLE:
We are seeking a highly skilled Data Scientist to lead initiatives in advanced analytics, predictive modeling, and generative AI for our Sales Operations org. This role combines statistical expertise, machine learning, and cutting-edge generative models to deliver actionable insights that drive strategic decisions across multiple business areas. As part of our team, you will collaborate with cross-functional teams to optimize revenue, improve operations, and empower sales and marketing professionals by leveraging data-driven solutions and AI to minimize manual tasks, enabling them to focus more efficiently on selling products.
THE PERSON:
The person we are looking for should have passion in data science. He/she has strong SQL and programming skills (Python is preferred) and has a good understanding of statistics and machine learning algorithms.
KEY RESPONSIBILITIES:
- Predictive Modeling & Machine Learning:
- Develop and deploy predictive models using machine learning algorithms (e.g., XGBoost, Random Forest) to address business challenges such as customer segmentation and revenue forecast.
- Build end-to-end ML pipelines from data ingestion to model deployment, ensuring scalability and reliability.
- Time-Series Forecasting:
- Create robust time-series forecasting models for revenue, demand, and operational metrics using techniques like ARIMA, Prophet, Bayesian methods, and hybrid approaches.
- Partner with finance, sales, and operations teams to integrate forecasts into strategic planning and decision-making processes.
- Generative AI & Advanced Analytics:
- Design and implement generative AI solutions (e.g., LLMs, GANs) for business applications such as information retrieval, workflow automation, and AI-driven decision systems.
Data Pipeline & Infrastructure:
- Collaborate with data engineering teams to design and maintain scalable data pipelines using tools like Airflow, KNIME, or custom shell scripting.
- Leverage big data frameworks (e.g., Snowflake, Hadoop, Spark) for efficient data processing and storage.
- Exploratory Data Analysis & Visualization:
- Perform exploratory data analysis to uncover patterns and insights from structured and unstructured data sources.
- Develop visualizations using tools such as Plotly, Matplotlib and Seaborn to communicate findings effectively to stakeholders.
- Collaboration & Impact Measurement:
- Work closely with business leaders, data engineers, and BI teams to align on business needs and deliver impactful solutions.
- Monitor model performance post-deployment and iterate on models to ensure continued business impact.
- Continuous Learning & Innovation:
- Stay updated on emerging technologies in AI, machine learning, and generative models.
- Experiment with new tools and techniques to enhance team capabilities and drive innovation.
QUALIFICATIONS:
-
Education:
Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. - Technical Skills:
- Proficiency in Python, SQL, and other programming languages.
- Strong understanding of machine learning algorithms and statistical techniques.
- Hands-on experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and frameworks for generative AI.
- Familiarity with time-series forecasting methods and tools.
- Experience working with big data technologies (e.g., Snowflake, Hadoop, Spark).
- Basic knowledge of UNIX shell scripting (Bash, Zsh).
- Experience:
- Minimum of 3+ years of experience in data science or related fields.
- Demonstrated ability to deliver end-to-end ML projects from start to finish.
- Experience with version control tools like Git and GitHub.
- Business Acumen:
- Ability to translate technical insights into actionable business strategies.
- Strong communication skills to effectively collaborate with cross-functional teams.
This role is not eligible for visa sponsorship.
LOCATION:
Austin, TX
#LI-RF1
#LI-HYBRID
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
See All 99 Data Operations Manager Jobs in Austin
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Find Data Operations Manager JobsData Operations Manager Job Market in Austin
Who's Hiring
Top Industries Hiring
- Manufacturing
- Electronics & Hardware
- Consulting & Professional Services
Data Operations Manager Jobs in Austin: Frequently Asked Questions
How do I get a data operations manager job in Austin?
Target Austin's densest hiring pockets: the Domain's tech campuses, downtown financial and SaaS companies, and the medical corridor anchored around the Dell Medical School district. Fintech, healthtech, and enterprise software firms hire the most. Candidates who demonstrate hands-on experience with data pipeline tools, SQL, and cross-functional stakeholder management stand out. Familiarity with high-growth startup environments also gives applicants a noticeable edge in Austin's market.
Which companies hire data operations managers in Austin?
Companies currently hiring data operations managers in Austin include Apple, Brivo, and Google, per current listings on Migrate Mate as of August 2026. Austin attracts a mix of established enterprise tech firms, fast-growing SaaS startups, and regional financial institutions, all of which regularly staff data operations roles at multiple seniority levels.
Are there remote data operations manager jobs in Austin?
Yes, though availability depends heavily on the role's scope. Data operations managers who focus on analytics, reporting, and process oversight tend to work remotely more often than those overseeing on-site data infrastructure or warehouse operations. About 50% of data operations manager openings tied to Austin are remote or hybrid as of August 2026, reflecting how Austin's tech-forward employers approach flexible work. The most remote-eligible positions are typically at SaaS and fintech companies in the Domain and downtown corridors.
How can I get a data operations manager job in Austin with little or no experience?
The most realistic entry path in Austin is moving up from a data analyst, operations coordinator, or business intelligence associate role at one of the city's many mid-size SaaS or fintech companies, which tend to promote internally and value demonstrated initiative over credentials. Austin Community College and UT Austin also feed local employers with candidates who have hands-on data tooling coursework. Building proficiency in SQL, Tableau, or Snowflake and contributing to a visible project or open dataset makes a strong impression with Austin hiring managers.
Which industries hire the most data operations managers in Austin?
Most data operations manager openings in Austin sit in Manufacturing, Electronics & Hardware, and Consulting & Professional Services, per current listings on Migrate Mate as of August 2026. Austin's rapid growth as a technology and financial services hub has driven sustained demand across these sectors, with companies scaling data teams quickly to support product expansion and regulatory reporting requirements.
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