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Data Privacy Manager Jobs in Rosenberg, TX (NOW HIRING)

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA) * Experience working in agile environments with Jira * AWS ML certifications or ...

Group 1 Automotive, Inc.

Corporate Counsel

Houston, TX · On-site

Advise on data privacy matters, including compliance with applicable federal and state privacy laws ... Coordinate and manage legal due diligence and post-closing integration matters, including ...

Socket.dev

Analyst Systems Data

Sugar Land, TX · On-site

$65 - $95/hr

Job Overview The Data Systems Analyst is responsible for designing, implementing, and managing ... Strong understanding of data privacy regulations and ethical data use practices (FERPA) * Knowledge ...

New

Fort Bend ISD

Analyst Systems Data

Sugar Land, TX · On-site

Job Overview The Data Systems Analyst is responsible for designing, implementing, and managing ... Strong understanding of data privacy regulations and ethical data use practices (FERPA) * Knowledge ...

Iron Mountain Inc

Data Entry Specialist

Houston, TX · On-site

$16.64/hr

We provide expert, sustainable solutions in records and information management, digital ... data privacy in innovative and socially responsible ways. Are you curious about being part of our ...

HHS

Workday HCM Security Administrator

Houston, TX · Remote

Data Management: Oversee the accuracy, consistency, and integrity of HR data within Workday ... Compliance & Data Privacy: Ensure Workday processes adhere to legal and regulatory requirements ...

Hhs

Workday HCM Security Administrator

Houston, TX · Remote

Data Management: Oversee the accuracy, consistency, and integrity of HR data within Workday ... Compliance & Data Privacy: Ensure Workday processes adhere to legal and regulatory requirements ...

Ketjen

Data Analytics and AI Leader

Houston, TX · On-site

Set practical AI guardrails for privacy, security, and human oversight. Data Governance and Quality ... Strong stakeholder management skills, from plant managers to finance executives. Preferred ...

Ketjen

Data Analytics and AI Leader

Houston, TX · On-site

Set practical AI guardrails for privacy, security, and human oversight. Data Governance and Quality ... Strong stakeholder management skills, from plant managers to finance executives. Preferred ...

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All JobsData Privacy JobsData Privacy Manager JobsData Privacy Manager Jobs in Rosenberg, TX

Data Privacy Manager information

See Rosenberg, TX salary details

$27.7K

$86.7K

$153.5K

How much do data privacy manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data privacy manager in Rosenberg, TX is $86,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $112,000.00 per year, depending on experience, location, and employer.

What does a Data Privacy Manager do?

A Data Privacy Manager is responsible for ensuring an organization complies with data protection regulations and best practices. They develop, implement, and oversee data privacy policies, conduct risk assessments, and work with legal and IT teams to safeguard sensitive information. Their role also includes training employees on data privacy, responding to data breaches, and staying updated on evolving privacy laws.

What are the key skills and qualifications needed to thrive as a Data Privacy Manager?

To thrive as a Data Privacy Manager, you need a deep understanding of data protection laws (such as GDPR, CCPA), risk assessment, and information security principles, usually backed by a relevant degree and experience in data governance or compliance. Technical proficiency with data mapping, compliance management platforms, and certifications like CIPP or CIPM is often required. Strong communication, project management, and problem-solving skills help you effectively collaborate with stakeholders and lead regulatory initiatives. These competencies are essential to ensure organizational compliance, minimize legal risks, and build trust with clients and partners.

What are some typical challenges a Data Privacy Manager faces on the job?

Data Privacy Managers often encounter the challenge of keeping up with rapidly evolving privacy regulations and ensuring ongoing compliance across multiple jurisdictions. They must balance business needs with stringent privacy requirements, which can involve negotiating with various departments to implement necessary data protection measures. Additionally, responding to data breaches or privacy incidents quickly and effectively is a key part of the role. Overcoming these challenges requires strong attention to detail, ongoing training, and a collaborative approach to working with legal, IT, and business teams.

What is the role of a data privacy manager?

A data privacy manager is responsible for developing and implementing policies to protect sensitive data and ensure compliance with privacy regulations such as GDPR or CCPA. They conduct risk assessments, oversee data handling practices, and coordinate training to minimize data breaches and privacy violations.

What job categories do people searching Data Privacy Manager jobs in Rosenberg, TX look for?

The top searched job categories for Data Privacy Manager jobs in Rosenberg, TX are:

What cities near Rosenberg, TX are hiring for Data Privacy Manager jobs?

Cities near Rosenberg, TX with the most Data Privacy Manager job openings:

Data Privacy Manager jobs near you

Lead Data Scientist

Hexagon AB

Houston, TX • On-site

Full-time

Re-posted 28 days ago

Job description

Lead Data Scientist
Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA
Workplace Type: Remote
Req Id: 2289
Responsibilities
Octave's ETQ division is seeking a hands-on Data Scientist to build predictive models, implement Generative AI and Agentic AI features, and architect data-driven solutions for our document-based compliance management platform. This role requires a technical expert who can develop, deploy, and maintain ML systems in production environments.
  • Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and RAG architectures with vector databases for compliance document understanding
  • Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks
  • Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, benchmark datasets, and safety guardrails ensuring regulatory compliance
  • Build end-to-end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with drift detection
  • Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time-series forecasting
  • Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows
  • Lead A/B experiments and product analytics to measure AI feature impact and drive data-driven decision-making
  • Create explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence
  • Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders

Python (5+ years): Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest
SQL: Advanced proficiency with complex queries, window functions, and optimization
Machine Learning & NLP: Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis
Generative AI & LLMs: Hands-on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma)
MLOps & ModelOps: End-to-end experience with ML pipelines, experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization
LLM Evaluation: Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human-in-the-loop validation
Cloud & AWS: Experience with AWS services including SageMaker, Bedrock, S3, Lambda, EC2, and CloudWatch
Statistics & Experimentation: Strong foundation in statistics, A/B testing, causal inference, and experimental design
Visualization: Proficiency with Tableau, Power BI, or Python visualization libraries
Education / Qualifications
Experience & Education
  • 7+ years in data science, ML engineering, or related roles
  • 3+ years building NLP/generative AI applications and implementing MLOps in production
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
  • Track record of deploying ML systems processing large-scale datasets with proper monitoring and governance

Preferred Qualifications
  • Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems
  • Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)
  • Experience with LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training
  • Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA)
  • Experience working in agile environments with Jira
  • AWS ML certifications or similar credentials

Key Competencies
  • Strong communication skills explaining complex models to technical and non-technical audiences
  • Ability to work independently and collaboratively in fast-paced environments
  • Proven ability to convert POCs into production-grade solutions
  • Understanding of ethical AI and building trustworthy, explainable systems for regulated environments

#LI-PB1 LI-Remote
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About Octave
Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.
Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.
Octave has approximately 7,200 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.
Why work for Octave?
All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.
Everyone is welcome
At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.
Recruitment Fraud Alert
Octave posts all official job opportunities on either https://careers.octave.com/ or https://www.octave.com/about/careers and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at careers@octave.com

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