Manager, Data Migration

Applied Systems•Chicago, IL

1d•Remote

About The Position

Applied Systems is hiring a Manager, Data Migration to lead a team of Data Migration Engineers responsible for moving customer data from competitor and legacy systems into Applied Systems SaaS products. As a people leader within Data Services, the Manager sets priorities, adapts plans as resources or operations change, and supports high-quality customer migration outcomes. The role provides technical guidance and partners with Onboarding and Success Services, Development, Operations, Solution Services, and Support on complex, end-to-end projects. The Manager works with a global Data Services team using a Follow the Sun delivery model, coordinating work across regions and time zones, ensuring effective handoffs, and providing additional attention when projects need it. The role operates within established policies, procedures, and business plans, taking direction from a senior leader. Success requires sound judgment, clear communication, and a coaching mindset as tools, platforms, and processes evolve. The position also contributes to department initiatives such as adopting cloud-based data platforms, including BigQuery, and intelligent tooling to improve migration speed, scalability, and quality. The role includes participation in a weekend management coverage rotation. The position is remote within the United States; listed locations are Chicago, Dallas, and Atlanta.

Requirements

Experience leading or mentoring technical teams, including coaching employees, setting clear goals, and handling performance conversations.
Strong working knowledge of database structures and SQL, with the ability to review scripts and guide engineers through complex migration, integration, or transformation work.
Solid understanding of ETL concepts, data mapping, and data quality best practices.
Hands-on experience with SaaS data migration or ETL initiatives in a production environment.
Ability to manage competing project timelines and adjust plans quickly while keeping customers and quality a priority.
Comfort leading in a collaborative, global environment where work moves across regions and time zones.
Clear communication skills, including explaining technical topics, presenting to peers and stakeholders, and gaining cooperation across teams and with customers during escalations.
Sound judgment and the ability to make decisions within established policies and business plans while staying calm when priorities change.
Bachelor’s degree or equivalent practical experience in Information Systems, Computer Science, Data Science, Software Engineering, or a related discipline.

Nice To Haves

Experience or exposure to Google Cloud Platform (GCP), including BigQuery and Cloud Storage.
Experience introducing automation, scripting, or AI-assisted tools to improve data analysis, migration, or quality assurance.
Experience with insurance technology or agency management systems.
Experience using Jira, Confluence, Slack, or similar tools to track work, collaborate across teams, and document processes.
Experience with HR and workforce tools such as UKG for timekeeping and performance management.

Responsibilities

Lead, coach, and develop Data Migration Engineers through regular one-on-ones, goal setting, performance reviews, and corrective action or performance improvement plans when needed.
Own team performance and results by using project data, quality dashboards, and workload metrics to track progress and guide improvement.
Provide technical guidance to team members, colleagues, and customers on migration approaches, including script review, scope review, and troubleshooting complex issues.
Adapt priorities and project plans when resources, timelines, or operational needs change.
Monitor projects daily and weekly, identify risks early, and handle escalations and project fires across Slack, Jira, and email.
Review and approve script requests, development tickets, and post-activation scripts in accordance with Data Services policies and procedures.
Support quality control by monitoring quality boards and dashboards and driving fixes when issues arise.
Monitor and manage team costs, including timesheets, additional compensation, and weekend coverage hours.
Recommend changes to Data Services policies, processes, and tooling, and keep documentation current as changes are implemented.
Partner with Development, Operations, and cloud and engineering teams to resolve defects, escalate infrastructure issues, and shape new or evolving solutions.
Coordinate with fellow managers, supervisors, and functional peers on schedules, resources, and handoffs across regions and time zones.
Explain complex technical information to knowledgeable audiences and present project and program updates that build cooperation across teams.
Participate in the management rotation for weekend coverage, including monitoring live merges and making go/no-go decisions.
Help advance department initiatives, including adoption of cloud-based data platforms such as BigQuery and intelligent tooling to improve migration speed, scalability, and quality.