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Data Privacy Manager Jobs in Arizona (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy ...

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

AI MANAGER Location: Tucson, AZ Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 ... Ensures developed tools meet institutional standards for responsible AI, data privacy ...

Unitek Learning

People Data Scientist

Tempe, AZ

Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities. * Understanding of data governance, data privacy ...

Unitek Learning

People Data Scientist

Tempe, AZ

Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities. * Understanding of data governance, data privacy ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities. * Understanding of data governance, data privacy ...

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Showing results 21-40

All JobsData Privacy JobsData Privacy Manager JobsData Privacy Manager Jobs in Arizona

Data Privacy Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data privacy manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data privacy manager in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

How do you become a data privacy manager?

To become a data privacy manager, candidates typically need a bachelor's degree in fields like information technology, law, or cybersecurity, along with experience in data protection or compliance roles. Certifications such as CIPP (Certified Information Privacy Professional) or CIPM (Certified Information Privacy Manager) are often preferred. Strong knowledge of data privacy laws, risk management, and privacy tools is essential for success in this role.

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 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 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 are the most commonly searched types of Data Privacy jobs in Arizona? The most popular types of Data Privacy jobs in Arizona are:
What are popular job titles related to Data Privacy Manager jobs in Arizona? For Data Privacy Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Privacy Manager jobs in Arizona look for? The top searched job categories for Data Privacy Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Privacy Manager jobs? Cities in Arizona with the most Data Privacy Manager job openings:
Data Privacy Manager jobs near you
Infographic showing various Data Privacy Manager job openings in Arizona as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

Re-posted 20 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Sr. Manager AI & Data Science

We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions across onsemi's global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI/ML adoption to deliver business value.

We're looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.

But your true impact will come from leadership. You'll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

Requirements: 

  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 10-15 years of experience in AI/data science, with at least 5 years in a leadership role.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:

  • Semiconductor industry experience.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
  • Understanding of AI security and compliance frameworks.

Competencies:

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Process management / process improvement
  • Drive for results, Able to work under pressure and meet deadlines
  1. Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
  2. Collaborate with business domain managers to define product requirements and identify AI opportunities.
  3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
  4. Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
  6. Mentor and grow a team of AI, data scientists and machine learning engineers.
  7. Represent the AI function in executive forums and cross-functional steering committees.

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