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Senior Implementation Specialist
FSISenior Implementation Specialist ensuring successful implementation of healthcare maintenance software. Leading data migration processes and collaborating with clients and internal teams to enhance hospital operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing the full customer data migration lifecycle, including data mapping, extraction, cleansing, and validation. Proven ability to implement AI/ML-enabled features and ensure successful delivery of software solutions in the healthcare industry.
Highest-signal resume keywords
Data Migration Lifecycle ManagementAI/ML Implementation ExperienceSaaS ManagementHealthcare Industry ExperienceCustomer Communication and Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MappingData ExtractionData CleansingData ValidationQuality Assurance TestingDocument ProcessingIntelligent AutomationLLM-Based WorkflowsSource System AnalysisData Quality Issue Resolution
Soft Skills
Excellent CommunicationLeadershipProblem-SolvingStakeholder ManagementCustomer Satisfaction Focus
Industry Keywords
SaaS ManagementProfessional Services ConsultingEnterprise Software DeliveryHealthcare Industry
About the role
Key responsibilities & impact- Ensure the successful delivery of ancillary application implementations by working closely with customers, Implementation Project Managers, and internal teams
- Lead customer discovery sessions to gather, clarify, and document data migration requirements including current state, transformative work and loading
- Serve as the main point of contact, conducting meetings and providing updates throughout the onboarding process
- Own the full customer data migration lifecycle: source system analysis, data mapping, extraction, cleansing, transformation, loading, validation, and reconciliation
- Work with customers to profile legacy data, define mapping specifications, and resolve data quality issues prior to conversion
- Perform hands-on quality assurance testing after data migration, integrations, data moves or segmentation splits/combinations to ensure solutions meet defined requirements prior to go-live
- Establish repeatable AI implementation patterns, accelerators, and best practices for reuse across the Professional Services organization.
Requirements
What you’ll need- 5–7 years of experience in SaaS management, professional services consulting, or enterprise software delivery
- Healthcare Industry experience preferred
- Practical experience implementing or configuring AI/ML-enabled features, such as intelligent automation, document processing, or LLM-based workflows
- Ability to work across various stakeholders including Users, Engineering, Quality Assurance, and Product Management
- Ability to triage & prioritize support requests against multiple projects with a focus on customer satisfaction.
- Excellent communication, leadership, and problem-solving skills.
Benefits
Comp & perks- Competitive compensation package aligned with market data, internal role leveling, and individual experience