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Technical Data Manager Jobs in Arizona (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

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 ...

Pwc

Data Governance- Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... data-driven strategies that drive business growth and enhance decision-making. As a Manager, you ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ

Present findings and recommendations related to RPA and AI to senior management and other ... Technical Expertise: Strong proficiency in Python and extensive experience in data visualization ...

Globe Telecom, Inc.

Data Office Head

Globe, AZ

Lead, motivate, and manage large technical and analytical teams who will leverage on data as a strategic asset and establish data as a competitive advantage and its role in business * transformation

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

The ideal candidate will have a strong blend of technical expertise and business acumen , using ... Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

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Technical Data Manager information

What is the difference between Technical Data Manager vs Data Analyst?

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

How much does a technical data manager get paid?

The average salary for a technical data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong data management skills and familiarity with tools like SQL and data warehousing systems.

What are the key skills and qualifications needed to thrive as a technical data manager?

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What is a technical data manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

What are some common challenges faced by technical data managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.
What are popular job titles related to Technical Data Manager jobs in Arizona? For Technical Data Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Technical Data Manager jobs in Arizona look for? The top searched job categories for Technical Data Manager jobs in Arizona are:
What cities in Arizona are hiring for Technical Data Manager jobs? Cities in Arizona with the most Technical Data Manager job openings:
Technical Data Manager jobs near you

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

Re-posted 23 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.
Responsibilities
  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.

Qualifications
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

About Us
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
About the Team
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.

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