Jobs · Colorado

Manager, Data Migration & Integrations

Career Team · Denver, CO · 2 wk ago
HybridFull-time

About the role

The Manager, Data Migration & Integrations will lead the team responsible for moving structured, semi-structured, and unstructured data into Career Edge from legacy systems, databases, flat files, documents, and third-party platforms. This role involves managing conversion initiatives from discovery and planning through validation, launch, and post-conversion support, while serving as a primary point of accountability for clients throughout the conversion lifecycle.

Responsibilities

  • Lead, coach, and develop a team of data conversion engineers, integration specialists, and other technical contributors.
  • Establish clear priorities, accountability, and delivery expectations across the conversion team.
  • Own multiple client conversion and integration projects from initial discovery through production launch and post-launch support.
  • Serve as a trusted delivery partner and primary escalation point for client stakeholders.
  • Build and maintain strong client relationships by communicating clearly, setting realistic expectations, and following through on commitments.
  • Lead recurring client meetings, conversion-readiness reviews, executive updates, and technical discussions.
  • Present project status, milestones, risks, decisions, and recommended actions to both technical and nontechnical stakeholders.
  • Establish project scope, delivery schedules, staffing plans, dependencies, and acceptance criteria.
  • Partner with clients and internal teams to understand source systems, business rules, reporting requirements, and data-quality expectations.
  • Translate business requirements into clear data mappings, transformation rules, validation plans, and technical work items.
  • Guide the design of ingestion and conversion solutions involving databases, APIs, JSON, XML, CSV files, documents, OCR, and other data sources.
  • Review technical approaches for accuracy, scalability, security, maintainability, and alignment with platform standards.
  • Coordinate conversion rehearsals, reconciliation, cutover planning, production migration, and post-launch verification.
  • Identify delivery risks, data-quality concerns, scope changes, and technical dependencies early.
  • Own escalation management by coordinating investigation, establishing clear ownership, communicating impact, and driving issues through resolution.
  • Maintain calm, transparent communication during high-priority incidents and provide clients with appropriate recovery plans and follow-up.
  • Balance client expectations with technical constraints, contractual commitments, security requirements, and team capacity.
  • Establish repeatable standards, templates, runbooks, and quality controls for conversion and integration work.
  • Monitor delivery metrics such as conversion accuracy, defect rates, processing time, first-pass success, and on-time completion.
  • Support hiring, onboarding, performance management, and professional development for team members.
  • Continuously improve the team’s delivery practices, client experience, and operational effectiveness.

Requirements

  • Five or more years of experience in data migration, data integration, ETL, software implementation, or technical delivery.
  • Two or more years of experience leading technical teams, projects, or programs.
  • Demonstrated ability to lead people, establish accountability, and develop high-performing teams.
  • Experience owning client relationships during complex technical implementations or enterprise migrations.
  • Confidence presenting project updates, risks, recommendations, and technical concepts to client leaders and executive stakeholders.
  • Demonstrated success managing escalations, coordinating cross-functional responses, and restoring client confidence.
  • Strong understanding of data mapping, transformation, normalization, validation, reconciliation, and exception handling.
  • Working knowledge of databases, APIs, and common data formats such as JSON, XML, and CSV.
  • Technical familiarity with MongoDB, SQL, Node.js, TypeScript, NestJS, or comparable technologies.
  • Ability to evaluate technical designs and troubleshoot data issues without serving as the team’s primary software developer.
  • Experience estimating work, managing competing priorities, tracking risks, and communicating delivery status.
  • Strong judgment, diplomacy, and communication skills—particularly when navigating ambiguity, changing requirements, or high-pressure situations.
  • Experience managing sensitive, confidential, or regulated data.

Qualifications

  • Five or more years of experience in data migration, data integration, ETL, software implementation, or technical delivery.
  • Two or more years of experience leading technical teams, projects, or programs.
  • Demonstrated ability to lead people, establish accountability, and develop high-performing teams.
  • Experience owning client relationships during complex technical implementations or enterprise migrations.
  • Confidence presenting project updates, risks, recommendations, and technical concepts to client leaders and executive stakeholders.
  • Demonstrated success managing escalations, coordinating cross-functional responses, and restoring client confidence.
  • Strong understanding of data mapping, transformation, normalization, validation, reconciliation, and exception handling.
  • Working knowledge of databases, APIs, and common data formats such as JSON, XML, and CSV.
  • Technical familiarity with MongoDB, SQL, Node.js, TypeScript, NestJS, or comparable technologies.
  • Ability to evaluate technical designs and troubleshoot data issues without serving as the team’s primary software developer.
  • Experience estimating work, managing competing priorities, tracking risks, and communicating delivery status.
  • Strong judgment, diplomacy, and communication skills—particularly when navigating ambiguity, changing requirements, or high-pressure situations.
  • Experience managing sensitive, confidential, or regulated data.

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