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Data Implementation Manager Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

... Cloud data implementation projects Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc * At least 5 years of experience in Data governance and Metadata Management

GCP Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

... implementation projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc * At least 5 years of experience in Data governance and Metadata Management * Ability to work ...

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

... Cloud data implementation projects Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc * At least 5 years of experience in Data governance and Metadata Management

GCP Data Engineer

Phoenix, AZ · On-site

$111.40K - $133.80K/yr

... implementation projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc At least 5 years of experience in Data governance and Metadata Management Ability to work ...

GCP Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

... implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.) * At least 2 years of experience in Data governance and Metadata Management * Ability to ...

Coach through change management: Help customers prepare their teams for new processes, reinforce adoption, and address common questions or resistance during implementation. * Ensure data integrity:

Implementation Consultant

Tempe, AZ · Remote

$51.50K - $82.21K/yr

Test client data and Paycor system configuration to ensure proper functionality and quality ... Maintain accurate project status in Paycor project management software; provide real time updates ...

New

Manager, Data Engineering

Phoenix, AZ · On-site +1

$7.60K - $8.75K/mo

This position will have developmental, implementation and maintenance responsibility for Contextures enterprise data management strategy that is in alignment with business processes, to enable ...

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Data Implementation Manager information

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

To thrive as a Data Implementation Manager, you need strong project management abilities, expertise in data integration processes, and a background in information systems or a related field. Familiarity with ETL tools, data warehousing platforms, and certifications like PMP or Six Sigma are commonly required. Exceptional communication, problem-solving, and stakeholder management skills help you coordinate teams and manage client expectations. These competencies ensure data solutions are delivered accurately, efficiently, and aligned with business needs.

What are the most common challenges faced by Data Implementation Managers during client onboarding, and how can they be effectively addressed?

Data Implementation Managers often encounter challenges such as integrating disparate data sources, managing client expectations regarding project timelines, and ensuring data accuracy during migration. To address these, it is crucial to establish clear communication channels with clients, set realistic milestones, and conduct thorough data validation checks. Collaborating closely with technical teams and stakeholders helps proactively identify issues and ensure a smooth onboarding process.

What is a Data Implementation Manager?

A Data Implementation Manager is responsible for overseeing the deployment and integration of data solutions within an organization. They work closely with clients, technical teams, and stakeholders to ensure data systems are installed, configured, and operating according to business requirements. Their role includes managing project timelines, troubleshooting issues, and providing guidance on best practices for data migration and utilization. Data Implementation Managers play a key role in aligning technology solutions with organizational goals, ensuring data accuracy, and optimizing workflows.

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

AspectData Implementation ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentProject-based, cross-departmental teams, focus on data system deploymentData-focused, analytical tasks, reporting, and visualization
Employer & Industry UsageUsed in tech, finance, healthcare for data system rolloutsCommon across industries for data analysis and reporting

The Data Implementation Manager primarily oversees the deployment and integration of data systems within organizations, focusing on project management and technical coordination. In contrast, a Data Analyst concentrates on analyzing data to generate insights, reports, and visualizations. While both roles require data-related skills, the Implementation Manager emphasizes system deployment, whereas the Analyst emphasizes data interpretation and reporting.

What are popular job titles related to Data Implementation Manager jobs in Arizona? For Data Implementation Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Implementation Manager jobs in Arizona look for? The top searched job categories for Data Implementation Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Implementation Manager jobs? Cities in Arizona with the most Data Implementation Manager job openings:
GCP Data Engineer

$113.70K - $136.50K/yr

Other

Posted 23 days ago


Job description

Job Posting

Principal duties:

  • A solid experience and understanding of considerations for largescale solutioning and operationalization of data warehouses, data lakes, and analytics platforms on GCP is a must
  • Works on creating a framework for ML and LLM Ops
  • Works on processes and flow of AI Compliance Governance framework
  • Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times
  • Create reports to monitor usage data for billing and SLA tracking
  • Work with business and crossfunctional teams to gather and document requirements to meet business needs
  • Provide support as required to ensure the availability and performance of ETL/ELT jobs
  • Provide technical assistance and cross training to business and internal team members
  • Collaborate with business partners for continuous improvement opportunities

Requirements:

Experience Skills Qualifications:

  • 6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics
  • Very strong hands on Python expertise
  • Strong Data and GCP Vertex AI knowledge
  • 6 years of experience with one of the leading public clouds
  • 6 years of experience in design and build of salable data pipelines that deal with extraction, transformation, and loading
  • 6 years of experience with Python, Scala, with working knowledge on Notebooks
  • 6 years hands on experience on GCP Cloud data implementation projects Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc
  • At least 5 years of experience in Data governance and Metadata Management
  • Ability to work independently, solve problems, update the stakeholders
  • Analyze, design, develop, and deploy solutions as per business requirements
  • Strong understanding of relational and dimensional data modeling
  • Experience in DevOps and CICD related technologies
  • Excellent written, verbal communication skills including experience in technical documentation and ability to communicate with senior business managers and executives

Skills:

Mandatory Skills:

AI/GenAI Research

Required Skills:

Architecture

Basic Qualification:

Additional Skills:

Background Check: No

Drug Screen: No