1

Data Ops Manager Jobs in Arizona (NOW HIRING)

ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model ... Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic ...

... Data Computing, among other offerings. This pivotal role as a Motorola Solutions System Manager ... Experience with Microsoft SQL Server, ODBC and Ops Manager (SCOM) * Experienced with Network Load ...

ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model ... Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic ...

Phoenix, AZ (Hybrid) Work Stream - AI Ops Engineering Manager - AI Ops & Autonomous Operations ... data from logs, metrics, traces, events, and CMDB. · Build enterprise observability solutions ...

Working knowledge of ML Ops tools and experiment tracking frameworks. * Familiarity with AI-based ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Working knowledge of ML Ops tools and experiment tracking frameworks. * Familiarity with AI-based ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Working knowledge of ML Ops tools and experiment tracking frameworks. * Familiarity with AI-based ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Operations Management - Ops Coordinator, Work Order Coordinator, Ops Management, Planners, Safety ... For more information about how JLL processes your personal data, please view our Candidate Privacy ...

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Manage and maintain a RAG system supporting five production APIs * Partner with a full stack ... Working knowledge of ML Ops tools and experiment tracking frameworks * Masters degree

Google Data Analytics Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Deploying to production and dev ops * Work with product managers to prioritize features for ongoing ... data visualization tools About Us: InterSources Inc, a Certified Diverse Supplier, was founded in ...

Google Data Analytics Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Deploying to production and dev ops * Work with product managers to prioritize features for ongoing ... data visualization tools About Us: InterSources Inc, a Certified Diverse Supplier, was founded in ...

Showing results 21-40

Data Ops Manager information

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What are the key skills and qualifications needed to thrive as a Data Ops manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are the most commonly searched types of Data Ops jobs in Arizona?

The most popular types of Data Ops jobs in Arizona are:

What are popular job titles related to Data Ops Manager jobs in Arizona?

For Data Ops Manager jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Data Ops Manager job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Data Scientist

QuantumClean

Phoenix, AZ • On-site

Full-time

Re-posted 27 days ago


Job description

Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence.This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! 

UCT is looking for a talented Data Scientist to join us in Chandler, AZ!

Job Summary:

  • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance.
  • The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Key Responsibilities:

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
  • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
  • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments.
  • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.

 Qualifications

  • Education –
    • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus.
  • Experience
    • 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive advantage.

Technical Skills:

  • Strong proficiency in Python, Scikit-Learn, Optuna
  • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
  • Experience developing classifier models (Random Forest, KNN, Decision Trees)
  • Strong SQL skills.
  • Experience with Microsoft Copilot Studio development & agent governance
  • Familiarity with Power BI is a plus.

Soft Skills:

  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
  • Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Professional development opportunities.

Work Environment:

  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Works in a manufacturing environment.

Physical Demands:

  • Ability to kneel, reach, walk, push, pull and grasp.
  • Ability to lift up to 50 lbs. 
  • Ability to move arms, hands, and fingers
  • Ability to sit for sustained periods.
  • Required to wear personal protective equipment.
  • Prolonged sitting with some standing and bending intermittently during work hours.
  • Subject to interruptions

Environmental Exposure:

  • Required to wear personal protective equipment where applicable.
  • Subject to frequent interruptions.
  • The ability to talk on the phone and use a computer for extended periods may be required.
  • May involve exposure to moderate noise levels from printers, faxes, computers, etc.

Overnight Travel:

  • Work may require out-of-town travel depending upon assignment (training and meeting).

Ultra Clean Technology is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.