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Data Manager Jobs in Tyler, TX (NOW HIRING)

Trellix

Data Scientist

Enterprise, TX · On-site

Experience building and managing datasets for ML training and evaluation * Familiarity with annotation workflows and data quality frameworks * AI/LLM Evaluation: * Hands-on experience evaluating ...

Trellix

Data Scientist

Enterprise, TX

Experience building and managing datasets for ML training and evaluation * Familiarity with annotation workflows and data quality frameworks * AI/LLM Evaluation: * Hands-on experience evaluating ...

trane technologies

Senior Data Modeler

Tyler, TX · On-site

Drive metadata management practices to ensure consistent interpretation of data across systems. * Collaborate with governance stewards and domain owners to ensure metric definition alignment, data ...

Trane Technologies plc

Senior Data Modeler

Tyler, TX · On-site

Drive metadata management practices to ensure consistent interpretation of data across systems. * Collaborate with governance stewards and domain owners to ensure metric definition alignment, data ...

Education Advanced

Customer Success Manager

Tyler, TX · Remote

Experience or familiarity with data management, software implementation, and software development lifecycle (SDLC) best practices. * Experience with Salesforce, Gainsight, HubSpot, ChurnZero, Asana ...

Brookshire Grocery Company

HR DATA PARTNER

Tyler, TX · On-site

$16.75 - $21.25/hr

Reviews and processes HR transactions in Human Capital Management system. Distributes associated ... Maintains partner records to ensure data accuracy. * Fields inquires and responds to requests ...

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Data Manager information

See Tyler, TX salary details

$29.2K

$91.5K

$162.1K

How much do data manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data manager in Tyler, TX is $91,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $118,300.00 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 Tyler, TX? The most popular types of Data jobs in Tyler, TX are:
What job categories do people searching Data Manager jobs in Tyler, TX look for? The top searched job categories for Data Manager jobs in Tyler, TX are:
What cities near Tyler, TX are hiring for Data Manager jobs? Cities near Tyler, TX with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Tyler, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $91,542 per year, or $44 per hour.

Data Scientist

Trellix

Enterprise, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Job Title:
Data Scientist
About Trellix
Trellix is a global company redefining the future of cybersecurity. The company's comprehensive, open, and native cybersecurity platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com.
Role Overview:
Join our innovative team at Trellix, where you'll be instrumental in building the evaluation and benchmarking infrastructure for our cutting-edge agentic AI platform. This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the performance of AI agents, knowledge graphs, and foundation models across the Trellix security portfolio.
About the Role:
  • Evaluation Framework Design: Architect and implement rigorous evaluation pipelines for agentic AI systems, including multi-step reasoning agents, retrieval-augmented pipelines, and autonomous SOC workflows.
  • Model & Agent Benchmarking: Design and execute model evaluations to assess accuracy, reliability, latency, and safety across LLMs and agentic systems, including custom benchmarks tailored to cybersecurity use cases.
  • Knowledge Graph Evaluation: Develop methods to validate knowledge graph quality, coverage, and correctness including entity resolution, relationship accuracy, and graph completeness metrics.
  • Dataset Engineering: Build, curate, and maintain high-quality synthetic and real-world datasets for training, fine-tuning, and testing models and agents - including adversarial and edge-case datasets.
  • Agentic Agent Testing: Design structured test harnesses for agentic systems covering tool use, multi-agent coordination, hallucination rates, decision quality, and task completion fidelity.
  • Metrics & Observability: Define and instrument evaluation metrics, surface results through dashboards, and translate findings into actionable insights for engineering and product teams.
  • Research & Innovation: Stay current with the latest evaluation methodologies (e.g., LLM-as-judge, RAGAS, MT-Bench, custom evals) and adapt them to Trellix's security domain.
  • Cross-Functional Collaboration: Partner closely with AI engineers, product managers, and security researchers to align evaluation standards with real-world performance requirements.

About You:
  • Experience: 5+ years of professional experience in data science, ML engineering, or AI research, with hands-on work in evaluation or benchmarking of AI/ML systems.
  • Data Science & ML Core:
    • Strong proficiency in Python (pandas, NumPy, scikit-learn)
    • Statistical analysis and experimental design
    • Experience building and managing datasets for ML training and evaluation
    • Familiarity with annotation workflows and data quality frameworks
  • AI/LLM Evaluation:
    • Hands-on experience evaluating Large Language Models (LLMs)
    • Familiarity with evaluation frameworks such as RAGAS, HELM, EleutherAI LM Eval, or equivalent
    • Experience designing LLM-as-judge pipelines or preference evaluation workflows
    • Understanding of hallucination detection, groundedness, and faithfulness metrics
  • Agentic Systems:
    • Experience testing or evaluating agentic AI systems
    • Familiarity with tool use, ReACT-style, Deep Agents, and multi-agent coordination patterns
    • Ability to define pass/fail criteria for complex, multi-step agent tasks
  • Knowledge Graphs:
    • Experience working with knowledge graphs (NebulaGraph, Neo4j, or equivalent)
    • Ability to evaluate graph quality, ontology coverage, and traversal correctness
    • Familiarity with embedding-based retrieval and vector databases (Qdrant preferred)
  • Data Engineering & Infrastructure:
    • Experience with synthetic data generation for model and agent testing
    • Proficiency with vector databases and embedding pipelines
    • Familiarity with MLflow, Weights & Biases, Langfuse, or similar experiment tracking tools
    • AWS experience preferred
  • Domain Knowledge:
    • Familiarity with the cybersecurity domain strongly preferred
    • Understanding of SOC workflows, threat detection, and incident response a plus
    • Experience evaluating AI systems in high-stakes or regulated environments a plus
  • Soft Skills:
    • Strong analytical thinking and ability to translate ambiguous quality questions into measurable metrics
    • Excellent written communication - able to document evaluation methodologies and present findings to technical and non-technical stakeholders
    • Collaborative mindset with a bias toward rigor and reproducibility

Company Benefits and Perks:
We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Our Commitment to You:
At Trellix, we are committed to creating a safe and trustworthy experience for our customers, employees, and candidates. Please be aware that fraudulent recruiting activity can occur through fake job postings or impersonated communications.
Trellix conducts interviews through professional channels only and does not use text messages, instant messaging, or group chats for interviews. We will never request sensitive personal information-such as your date of birth, Social Security number, or national ID number-during the interview process.
Trellix also does not require candidates to pay fees, purchase products or services, or process payments of any kind as part of the recruiting or hiring process. And Trellix will never keep any original work authorization documents that we may be required to review during the hiring process.
Trellix logo

About Trellix

Sourced by ZipRecruiter

Trellix is a global company redefining the future of cybersecurity. The company's open and native extended detection and response (XDR) platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix's security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.

Industry

Internet and it

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

Year founded

2022

Social media

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