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Senior Project Manager Data Migration Jobs in Arizona

TRC Companies, Inc.

Senior GIS Project Manager

Phoenix, AZ · On-site

$158K - $178K/yr

Identify and prioritize security and data protection risks . Working closely with the end customer ... migration. * Plans, prepares and tracks project schedules and budgets to assure controlled ...

Bright Minds

Project Manager

Phoenix, AZ · On-site

$105K - $115K/yr

Project Manager - Data Centers Location: Phoenix, AZ Job Type: Full-Time Salary: $105k - $115k/year About the Role: A growing systems integration company is looking for a Senior Project Manager with ...

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Senior Project Manager Data Migration information

What are some common challenges faced by senior project managers during large-scale data migration projects?

Senior Project Managers in data migration often encounter challenges such as ensuring data integrity during transfers, managing tight project deadlines, and coordinating across multiple departments or vendors. They must also address unexpected technical issues, like compatibility or data quality problems, while maintaining clear communication with both technical teams and business stakeholders. Proactively identifying potential risks and having contingency plans in place are essential for project success.

What are the key skills and qualifications needed to thrive as a senior project manager data migration?

To thrive as a Senior Project Manager Data Migration, you need expertise in project management methodologies, data migration strategies, and a background in IT or computer science, often supported by a PMP or similar certification. Familiarity with data migration tools (such as Informatica or Talend), ERP/CRM systems, and project management software like MS Project or Jira is typically required. Strong leadership, stakeholder management, and problem-solving skills help you navigate complex projects and drive cross-functional teams. These skills are crucial for ensuring seamless, timely, and risk-mitigated data transitions that meet organizational goals.

What is a senior project manager data migration?

A Senior Project Manager Data Migration is responsible for leading and overseeing large-scale data migration projects, ensuring that data is moved accurately, securely, and efficiently from one system to another. This role involves managing project timelines, coordinating with cross-functional teams, and mitigating risks associated with data transfer. Senior Project Managers also develop migration strategies, ensure data integrity, and resolve issues that arise during the migration process. They often work with stakeholders to define requirements and establish best practices for data management during transitions.

What is the difference between Senior Project Manager Data Migration vs Data Analyst?

AspectSenior Project Manager Data MigrationData Analyst
Required CredentialsProject management certifications, experience in data migrationData analysis certifications, SQL, statistical skills
Work EnvironmentProject teams, IT departments, client sitesData warehouses, reporting tools, business units
Employer & Industry UsageIT, consulting, finance, healthcareBusiness intelligence, marketing, finance, tech

The Senior Project Manager Data Migration focuses on planning, coordinating, and executing data migration projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily analyzes data sets to generate insights, reports, and support decision-making. While both roles require data understanding, the project manager emphasizes management and execution, whereas the analyst emphasizes data interpretation and analysis.

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Senior Project Manager Data Migration jobs near you

Senior Data Migration Validation Analyst

SR International Inc.

Phoenix, AZ • On-site

$85K - $107K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

LOOKING FOR ONLY CURRENT ARIZONA RESIDENTS

Job Title: Senior Data Migration Validation Analyst (Legacy Mainframe to Salesforce Service Cloud)

Job ID: 13094 (Hybrid)

Client: State of Arizona - AZDES - DTS 

Closing Date & Time: 8/5/2026@ 4 PM

Local To Phoenix Only. Hybrid once a week or as needed.

Skill Required:

  • SQL Server
  • Salesforce Service Cloud
  • Data Conversion Testing/Validation

Preference:

  • AI experience
  • Legacy Data
  • Scripting/Automation

Position Description
We are seeking a Senior Data Migration Validation Analyst to oversee the end-to-end data reconciliation and quality assurance for a complex migration pipeline moving data from a legacy Mainframe system, through a SQL staging database, and into Salesforce CRM. The ideal candidate will bridge the gap between legacy data structures and modern cloud architecture, ensuring 100% data integrity, zero record loss, and perfect relational mapping.

Key Responsibilities:

• End-to-End Reconciliation: Validate data at every hop of the migration pipeline (Mainframe to SQL, and SQL to Salesforce), ensuring record counts, hash totals, and financial/statistical summaries match across all environments.

• Schema & Mapping Verification: Review Source-to-Target Mapping (STTM) documents and write complex SQL scripts to verify that data transformation logic, data types, and truncation rules are accurately implemented.

• Salesforce Target Validation: Use SOQL, Data Loader, and Workbench to verify that relational integrity (parent-child relationships), External IDs, and object schemas are perfectly intact post-load.

• Defect Triage: Identify, document, and track data anomalies (e.g., character encoding issues, orphaned records, null constraint violations) and collaborate with Informatica ETL and Salesforce developers to remediate them.

Required Technical Skills

• SQL Mastery: Advanced querying skills (complex joins, CTEs, window functions, and data profiling scripts).

• Salesforce Core: Strong understanding of Salesforce data architecture, standard/custom objects, SOQL, and data loading mechanisms.

• Legacy Data Literacy: Familiarity with parsing fixed-width flat files, or validating EBCDIC-to-ASCII conversions.

• Scripting/Automation: Experience using Python (Pandas) or advanced Excel/Power Query to perform automated, row-by-row cross-system file comparisons.

• AI Exp: would be a plus

Required Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field.
  • Minimum of 5 years of experience with SQL Server, Salesforce Service Cloud and data conversion testing / validation.
 
 

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