S

Product Manager

S3
Contract
On-site
Minneapolis, Minnesota, United States

Job Description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

Job Title: Product Manager

Location: Β MINNEAPOLIS, MN ** On-Site

Duration: 18+ Months
Role Type: W2 Contract Engagement

JOB DESCRIPTION

Β In this contingent resource assignment, you may:

  • Consult on complex initiatives with broad impact and large-scale planning for Product Management.
  • Review and analyze complex multi-faceted, larger scale or longer-term Product Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.

Required Qualifications:

  • 5+ years of Product Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Experienced Product Manager and Data Migration Consultant with a strong track record leading CRM transformation initiatives, particularly Salesforce to Microsoft Dynamics 365 migrations.Β 
  • Adept at managing end-to-end data migration lifecycles, ensuring data quality, compliance, and minimal business disruption.Β 
  • Brings deep expertise in aligning technical execution with business goals across cross-functional teams.

Develop and execute data migration strategies, including risk mitigation and rollback plans

  • Cleanse, audit, and validate data to ensure quality and compatibility
  • Work closely with business stakeholders, IT teams, and end-users to align on requirements and resolve issues
  • Maintain detailed records of migration processes for compliance and future reference:
  • Desired Qualifications include:
  • MS Dynamics CRM
  • Salesforce CRM
  • ETL (Extract, Transform, Load) tools and methodologies
  • SQL and relational databases
  • Data mapping and transformation
  • Data validation and cleansing techniques