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Data Protection Jobs in Conroe, TX (NOW HIRING)

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Incorporate appropriate data governance, privacy, security, and protection practices into data solutions. * Participate in Agile development activities while balancing multiple projects and ...

New

AI/ML Engineer

Houston, TX · On-site

$109K - $131K/yr

Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data protection controls.

You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory ...

Solid understanding of Microsoft 365, Teams, Copilot, AI productivity, data governance, information protection, endpoint management, identity, and secure collaboration. Ability to identify Copilot ...

Solid understanding of Microsoft 365, Teams, Copilot, AI productivity, data governance, information protection, endpoint management, identity, and secure collaboration. Ability to identify Copilot ...

... data governance, information protection, endpoint management, identity, and secure collaboration. · Ability to identify Copilot and AI use cases tied to productivity, automation, knowledge ...

... data governance, information protection, endpoint management, identity, and secure collaboration. • Ability to identify Copilot and AI use cases tied to productivity, automation, knowledge ...

... data governance, information protection, endpoint management, identity, and secure collaboration. · Ability to identify Copilot and AI use cases tied to productivity, automation, knowledge ...

Showing results 21-40

Data Protection information

What is a data protection officer?

Data protection officers (DPOs) are professionals responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR in Europe. Their duties typically include advising on data protection obligations, monitoring internal compliance, conducting data protection impact assessments, and serving as a point of contact for supervisory authorities and individuals whose data is processed. DPOs play a crucial role in safeguarding sensitive information and helping organizations build trust with customers and stakeholders by managing data responsibly.

How does a data protection professional typically collaborate with other departments to ensure compliance?

Data Protection professionals work closely with various departments such as IT, Legal, HR, and Operations to implement and monitor data privacy protocols. They often lead training sessions, advise on best practices, and help integrate data protection requirements into business processes. Regular communication and collaboration are essential, as they must ensure that all teams understand their responsibilities regarding sensitive data. This cross-functional teamwork helps maintain company-wide compliance and mitigates risks associated with data breaches.

What are the key skills and qualifications needed to thrive in data protection, and why are they important?

To thrive in Data Protection, a strong understanding of data privacy laws, risk management, and information security—often supported by relevant degrees or certifications like CIPP or CISSP—is essential. Familiarity with data loss prevention (DLP) tools, encryption technologies, and compliance management systems is typically required. Excellent analytical thinking, attention to detail, and effective communication skills help professionals identify risks and educate stakeholders. These abilities ensure organizations maintain regulatory compliance, protect sensitive information, and build trust with clients and partners.

What is the difference between Data Protection vs Data Privacy Officer?

AspectData ProtectionData Privacy Officer
Primary FocusImplementing technical and organizational measures to secure dataEnsuring compliance with privacy laws and policies
CertificationsISO 27001, CISSP, CISMCIPP, CIPM, CIPT
Work EnvironmentIT departments, security teamsLegal, compliance, and policy teams
Industry UsageAcross sectors with data security needsPrimarily in organizations handling personal data

While both roles focus on data, Data Protection emphasizes securing data through technical measures, whereas Data Privacy Officers focus on legal compliance and policy adherence related to personal data. Understanding these distinctions helps organizations assign the right responsibilities and certifications for each role.

How to start a career in data protection?

To start a career in data protection, gain knowledge of cybersecurity principles, data privacy laws, and risk management. Obtain relevant certifications such as Certified Information Privacy Professional (CIPP) or CompTIA Security+ and develop skills in data security tools and practices. Entry-level roles often require a bachelor's degree in computer science, information technology, or related fields.

Is data protection a stressful job?

Data protection roles can be stressful due to the responsibility of safeguarding sensitive information and ensuring compliance with regulations. The job often involves managing complex security protocols, responding to security incidents, and staying updated on evolving threats, which can contribute to work pressure. However, workload and stress levels vary depending on the organization and specific role.

What is a data protection job?

A data protection job involves safeguarding sensitive information from unauthorized access, breaches, and cyber threats. Professionals in this field often work with security policies, encryption tools, and compliance standards to ensure data privacy and integrity within organizations.

What skills are needed for data protection jobs?

Data protection jobs require strong knowledge of cybersecurity principles, data privacy laws, and risk management. Skills in network security, encryption, and familiarity with security tools and protocols are essential, along with attention to detail and problem-solving abilities. Certifications like CISSP or CISM can enhance qualifications.

What are popular job titles related to Data Protection jobs in Conroe, TX?

For Data Protection jobs in Conroe, TX, the most frequently searched job titles are:

What job categories do people searching Data Protection jobs in Conroe, TX look for?

The top searched job categories for Data Protection jobs in Conroe, TX are:

What cities near Conroe, TX are hiring for Data Protection jobs?

Cities near Conroe, TX with the most Data Protection job openings:

Infographic showing various Data Protection job openings in Conroe, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Business Intelligence Data Modeler Engineer

Houston, TX • On-site

$116K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

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Job description


Houston, TX | Hybrid – 3 Days Onsite | Direct Hire


Please note: This is a hybrid position requiring three days per week onsite in Houston. Candidates must currently reside in the Houston area and must be a U.S. Citizen or Green Card holder to apply!!!


We Place People is recruiting for a Business Intelligence Data Modeler Engineer II for a large, highly respected organization. This position will play an important role in building the data foundation behind enterprise reporting, analytics, and business intelligence.


The ideal candidate brings strong hands-on data modeling experience and can take complex business information and turn it into organized, scalable data structures. You’ll partner with both business and technology teams, working with data across areas such as HR, Finance, Risk Management, and other corporate functions.



The Opportunity

This is a hands-on role focused on designing and improving the data models that power enterprise analytics and reporting. You’ll work across multiple data sources and business functions, helping ensure information is structured consistently, performs well, and can be trusted by the people using it to make business decisions.


The position offers the opportunity to work closely with analysts, data engineers, application teams, and business stakeholders while contributing to broader data architecture, governance, and analytics initiatives.


Areas of Responsibility

  • Design logical and physical data models supporting enterprise BI, analytics, and reporting.
  • Build dimensional models, including fact and dimension structures and star schemas.
  • Translate business requirements into practical and scalable data designs.
  • Analyze data from multiple enterprise applications and identify relationships, dependencies, and integration requirements.
  • Work with business stakeholders to establish consistent definitions for key measures, dimensions, hierarchies, and reporting concepts.
  • Partner with data engineering and BI teams throughout design, development, testing, and implementation.
  • Evaluate existing data structures and recommend improvements to performance, usability, consistency, and scalability.
  • Assist with data validation, reconciliation, troubleshooting, and quality initiatives.
  • Maintain documentation covering data models, definitions, lineage, relationships, and other technical specifications.
  • Incorporate appropriate data governance, privacy, security, and protection practices into data solutions.
  • Participate in Agile development activities while balancing multiple projects and priorities.


Experience That Will Be Valuable

  • Professional experience in data modeling, business intelligence, analytics engineering, data warehousing, or a related area.
  • Hands-on experience creating relational and dimensional data models.
  • Strong understanding of data warehouse architecture and concepts such as facts, dimensions, star schemas, relationships, and hierarchies.
  • Strong SQL skills and experience analyzing complex datasets.
  • Experience working with enterprise BI, database, analytics, or data warehouse platforms.
  • Ability to turn business requirements into clearly defined technical data solutions.
  • Knowledge of data governance, metadata, data quality, security, privacy, and data protection practices.
  • Experience working with business data in areas such as Human Resources, Finance, or Risk Management.
  • Strong analytical, organizational, and problem-solving capabilities.
  • Ability to communicate effectively with both technical and business audiences.
  • Experience working within Agile project environments.
  • Professional services experience is a plus.


Location & Eligibility

This is a direct-hire opportunity based in Chicago with a hybrid schedule of three days in the office and two days remote.


Applicants must:

  • Currently live in the Chicagoland area
  • Be able to work onsite in Chicago three days each week
  • Be a U.S. Citizen or Green Card holder


We Place People is looking for someone who combines strong technical data modeling skills with the ability to understand how the business actually uses its data. If that sounds like you, we’d welcome the opportunity to connect.

Company Description

We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!