1

Manager Data Operations Lead Jobs in Arizona (NOW HIRING)

Manager, Data Engineering

Phoenix, AZ · On-site +1

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To ... Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

... use data to identify gaps and improve workflows. Calm under pressure: You manage competing ... Hands-on operational experience: Lead daily execution across scheduling, capacity management, front ...

As a Manager, Data Center Operations, you'll help us scale our Core Data Center and hardware ... Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting ...

As a Manager, Data Center Operations, you'll help us scale our Core Data Center and hardware ... Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting ...

Operations Lead Our Vision: To become the leading Home Décor retailer. Our Mission: Enable ... The OL coordinates directly with the Operations Manager to maximize staffing effectiveness that ...

The Operations Lead (OL) oversees store processes and supports an active selling culture by ... The OL coordinates directly with the Operations Manager to maximize staffing effectiveness that ...

Lead, coach, and develop a team of Data Technology engineers, fostering engagement, accountability ... Drive team execution, operational excellence, and cross-functional collaboration across initiatives ...

Lead, coach, and develop a team of Data Technology engineers, fostering engagement, accountability ... Drive team execution, operational excellence, and cross-functional collaboration across initiatives ...

Yard Operations Lead

Phoenix, AZ · On-site

$19.50 - $22.50/hr

This role involves managing daily operational tasks, maintaining site safety and security, and providing exceptional customer service. The Yard Operations Lead will act as the Subject Matter Expert ...

next page

Showing results 1-20

Manager Data Operations Lead information

What does a Manager Data Operations Lead do?

A Manager Data Operations Lead oversees the daily operations related to data management within an organization. This role is responsible for ensuring data integrity, optimizing data workflows, and leading a team of data professionals. Key responsibilities include implementing data governance policies, coordinating with IT and business units, and ensuring compliance with data security standards. The role requires strong leadership, technical expertise, and excellent problem-solving skills.

How does a Manager Data Operations Lead collaborate with cross-functional teams to ensure data quality and consistency?

A Manager Data Operations Lead frequently works with teams such as engineering, analytics, and business stakeholders to align data processes and standards. They facilitate communication between departments to clarify data requirements, resolve discrepancies, and implement best practices for data governance. Regular meetings and progress check-ins are typical, helping to quickly address issues and maintain high data quality across all business units. Effective collaboration ensures that data remains a reliable resource for decision-making and strategic initiatives.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as executive positions (CEOs, CFOs), specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Senior-level roles in finance, technology, and law, especially with bonuses and stock options, also reach this income level. These positions typically require extensive experience, advanced skills, and often leadership or specialized certifications.

What are the key skills and qualifications needed to thrive as a Manager Data Operations Lead, and why are they important?

To thrive as a Manager Data Operations Lead, you need a solid background in data management, analytics, and process optimization, typically with a degree in computer science, information systems, or a related field. Experience with data warehousing tools, ETL systems, SQL, and platforms like Snowflake or AWS, along with certifications such as PMP or Six Sigma, is highly valuable. Strong leadership, communication, and problem-solving skills enable you to coordinate teams, manage stakeholders, and drive continuous improvement. These skills are crucial for ensuring data quality, operational efficiency, and the strategic alignment of data initiatives within an organization.

How much is the salary of an operations manager?

The salary of a Manager Data Operations Lead varies depending on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually. Factors such as technical skills, certifications, and company size can influence compensation levels.

What does a data operations lead do?

A data operations lead manages the processes and systems involved in collecting, storing, and maintaining data within an organization. They oversee data quality, ensure data governance compliance, and coordinate with teams to optimize data workflows, often using tools like SQL, data pipelines, and analytics platforms.

What is the difference between Manager Data Operations Lead vs Data Analyst?

AspectManager Data Operations LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; experience in data managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data teams, manages data operations, collaborates with multiple departmentsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing data teamsCommon across industries for data insights and reporting
Search & Comparison IntentOften compared for leadership roles in data managementCompared for technical data analysis skills

The Manager Data Operations Lead focuses on overseeing data management teams and ensuring data quality across organizations, while Data Analysts primarily analyze data sets to generate insights. Both roles require strong data skills, but the manager role emphasizes leadership and operational oversight.

Is ops manager higher than GM?

A Manager of Data Operations Lead is a specialized managerial role focused on overseeing data processes and teams. Generally, a General Manager (GM) holds a broader executive position with overall responsibility for a business unit or organization, making the GM typically higher in organizational hierarchy than an operations manager. The specific hierarchy can vary by company structure and industry.
What are the most commonly searched types of Data Operations Lead jobs in Arizona? The most popular types of Data Operations Lead jobs in Arizona are:
What are popular job titles related to Manager Data Operations Lead jobs in Arizona? For Manager Data Operations Lead jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Data Operations Lead jobs in Arizona look for? The top searched job categories for Manager Data Operations Lead jobs in Arizona are:
What cities in Arizona are hiring for Manager Data Operations Lead jobs? Cities in Arizona with the most Manager Data Operations Lead job openings:

Manager, Data Engineering

Contexture

Phoenix, AZ • On-site, Remote

$7.5K - $8.7K/mo

Full-time

Posted 6 days ago


Job description

MANAGER, DATA ENGINEERING

Job Code: MGRDE

Reports To: Director, Data Operations and Engineering

Base Location: AZ or CO

Work Status: Virtual Office

Minimum Starting Monthly Range: $7,599

Hiring Range (Monthly Pay): $7,599 - $8,750

Full-time / Part-time: Full-time

Exempt / Non-Exempt: Exempt

Risk Designation: Extremely High


Summary:

The Manager, Data Engineering is responsible for Contexture data engineering, development, implementation and maintenance for related activities of the organization. The role will provide technical direction and administrative support for the daily developmental, implementation and maintenance activities of the Data Engineering team. This position will have developmental, implementation and maintenance responsibility for Contextures enterprise data management strategy that is in alignment with business processes, to enable organizational business intelligence, reporting, visualization and analysis. The Manager will coordinate and implement data ingestion, storage, transformation, curation, consumption, and automation activities to support the data management strategy for both internal and external customers. This position is responsible for ensuring that team members have the appropriate knowledge and understanding of the underlying technologies and standards to provide effective and efficient development, implementation, and support for all assigned data engineering activities. This individual will serve as a technical expert for internal and external stakeholders as it relates to enterprise data management solutions offered by Contexture.

This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.

Essential Duties and Responsibilities include the following:

  • Coordinates with the other Contexture departments to ensure that all HIE/HIT data services are delivered on time, error free and that they meet organizational and customer service expectations.
  • Provides daily supervision and management of assigned staff, maintain allocated staffing levels including leading recruitment efforts and creating on-boarding plans for new or transferred employees.
  • Provides mentoring, coaching, and educational activities to support employee development that aligns with organizational goals and objectives.
  • Ensures Data Engineering development staff assignments and allocations are maintained, up-to-date, and equitable.
  • Ensure high level of data availability implementing and improving processes that ensure the stability and performance of our data products.
  • Provide evaluations, analysis, and recommendations for system enhancements, performance optimization techniques, and development methodology advancements.
  • Create solutions that adhere to privacy, governance, legal, compliance and other standards.
  • Develops and implements policies and procedures which foster and sustain best practices for the department's data and engineering use case development methodologies, including project initiation, planning, execution, control and closing.
  • Oversee the optimization of data pipelines for latency, throughput, and reliability, ensuring alignment with SLAs and business needs; working cross functionally as needed.
  • Collaborate with senior leadership to define and execute the data engineering roadmap aligned with organizational goals.
  • Serve as a liaison between data engineering, data services and business intelligence, data governance, application development, project management and IT teams to ensure cohesive data strategies and execution.
  • Prioritizes team goals and tactics ensuring that the activities of the group are in line with organizational goals and objectives, customer project commitments and expectations.
  • Tracks and monitors key inter- and intra-project variables and distribute key project information to all impacted areas of the organization.
  • Supports assessment and reports risks related to assigned projects and participate in the development and implementation of mitigation plans, with appropriate escalation to executive team, as needed.
  • Controls activities related to the management of assigned implementation projects to bring the projects to a timely close and transition the client appropriately.
  • Ensures proactive communications with clients are conducted periodically regarding progress during implementation period and aids as needed.
  • Oversees the engineering maintenance of a core data set for clinical, claims, SDOH, operational financial, and administrative data elements for testing and quality control.
  • Maintains both a test and production library of data assets, including queries, API calls, and report formats to ensure data quality and standardization of processes.
  • Assists with the evaluation and testing of emerging technologies, data management and data access tools.
  • In conjunction with the data governance team, utilize the library of all required standard vocabularies and nomenclatures used in normalizing inbound and outbound data.
  • Support implementation of strategic business plans, processes, and other necessary project documents to support the successful management of Contexture programs.
  • Maintains, enhances, and broadens knowledge and skills related to data management and data access tools and applications and industry best practices.
  • Performs other related duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Skills

  • Partner with business and technology experts to create a continuous loop of risk evaluation and remediation.
  • Ability to explain complex data engineering concepts to stakeholders, including internal and external.
  • Demonstrated ability in leading a cross-functional teams to deliver results on complex issues.
  • Prior hands-on experience as a technologist working with enterprise data management solutions, including data warehousing, cloud technology, relational databases and dashboarding tools, including SQL Server, Snowflake, Tableau, etc.
  • Experience working with cloud and modern data technologies, solutions and platforms.
  • Experience with creating technical roadmaps and driving data operations & engineering projects to timely delivery.
  • Extensive knowledge and application of both Python and SQL development in a production environment with terabyte-sized datasets that are both structured and unstructured.
  • Working knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Working knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Drive the adoption of data-driven decision-making processes across the organization, promoting a culture of data literacy and data-informed strategies.
  • Experience in design, implementation, and maintenance of healthcare evaluation systems.
  • Strong analysis and design skills.
  • Strong written and oral communication skills.
  • Ability to anticipate problems and take decisive action, giving regard to impact on all stakeholders.
  • Ability to prioritize and manage multiple tasks and allocate assigned resources to ensure projects are efficiently and effectively completed.
  • Ability to effectively develop, test and operationalize data extraction and reporting projects.
  • Ability to work in a fast-paced and rapidly changing environment and consistently meet strict deadlines.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Supports and contributes to the organization's culture in a way that allows staff to feel appreciated, included and valued.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience

Minimum of 5+ years of experience in the development, maintenance, and support of data related positions, focused in health system performance measurement structures to include process, outcome, value-based payment, and patient experience metrics development and uses. Experience in leading and managing cross functional technical and user-based teams, preferred. Bachelor's Degree, or commensurate directly related work experience, is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc. Master's Degree is preferred. Minimum 2+ years prior management experience required.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel, including occasional travel out-of-state.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Physical Demands

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.

Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other status protected by law or regulation.