Senior Technical Product Manager

GE Aerospace

Job Location:

Overland Park, KS - USA

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description Summary

Responsible for Digital Technology project leadership business analysis and application development and support for the IT Insurance Operations function. Partners closely with business stakeholders to design deliver and support high-quality data solutions by utilizing strong technical expertise deep understanding of insurance/reinsurance business processes and a hands-on approach to drive data platform improvements and process change.

Job Description

Roles and Responsibilities

Partner with business stakeholders to engage at technical and business levels to gather requirements define data solutions prioritize enhancements and provide outstanding customer-focused operational support.
Provide solution ownership for data integration and platform initiatives including design development implementation and testing.
Responsible for testing quality assurance and data validation activities including facilitating user acceptance testing and resolving data quality issues.
Lead process improvements and reengineering efforts related to data integration data quality and operational support leveraging industry best practices.
Design develop and maintain cloud-based ETL pipelines using Informatica Intelligent Data Management Cloud (IDMC).
Responsible for production support of operational platforms and data pipelines including incident resolution root cause analysis and continuous improvement.
Build strong working relationships across IT Operations and external partners to influence outcomes and execute on business strategies.
Provide leadership and guidance to multi-location and offshore development teams ensuring high-quality delivery adherence to standards and effective collaboration.

Qualifications / Requirements
Bachelors degree in computer science or related field.
5 years of experience in Information Technology with at least 3 years focused on data engineering or data integration roles.
Hands-on experience with Data Integration (ETL) Tools (IDMC) relational database modeling SQLend-user reporting and cloud-based applications.
Strong analytical problem-solving and communication skills.
Demonstrated experience partnering with business users to support operational needs and strategic initiatives.
Energetic and driven person with a passion for problemsolvingand providing outstanding client support

Desired Characteristics
Experience with Life or LTC insurance/reinsurance business processes.
Focused and flexible with ability to drive change and lead others to excel in a dynamicenvironment.
Familiarity with cloud platforms and modern data architectures (data lakes data warehouses analytics platforms).
Ability to translate complex technical concepts into clear communication tailored to a targeted audience.
Experience using Python for data processing automation and integration.
Working knowledge of R for data analysis or actuarial and statistical use cases.

GE Aerospace offers a great work environment professional development challenging careers and competitive compensation. GE Aerospace is anEqual Opportunity Employer . Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

Required Experience:

Senior IC

Job Description SummaryResponsible for Digital Technology project leadership business analysis and application development and support for the IT Insurance Operations function. Partners closely with business stakeholders to design deliver and support high-quality data solutions by utilizing strong ...

Job Description Summary

Job Description

Roles and Responsibilities

Partner with business stakeholders to engage at technical and business levels to gather requirements define data solutions prioritize enhancements and provide outstanding customer-focused operational support.
Provide solution ownership for data integration and platform initiatives including design development implementation and testing.
Responsible for testing quality assurance and data validation activities including facilitating user acceptance testing and resolving data quality issues.
Lead process improvements and reengineering efforts related to data integration data quality and operational support leveraging industry best practices.
Design develop and maintain cloud-based ETL pipelines using Informatica Intelligent Data Management Cloud (IDMC).
Responsible for production support of operational platforms and data pipelines including incident resolution root cause analysis and continuous improvement.
Build strong working relationships across IT Operations and external partners to influence outcomes and execute on business strategies.
Provide leadership and guidance to multi-location and offshore development teams ensuring high-quality delivery adherence to standards and effective collaboration.

Qualifications / Requirements
Bachelors degree in computer science or related field.
5 years of experience in Information Technology with at least 3 years focused on data engineering or data integration roles.
Hands-on experience with Data Integration (ETL) Tools (IDMC) relational database modeling SQLend-user reporting and cloud-based applications.
Strong analytical problem-solving and communication skills.
Demonstrated experience partnering with business users to support operational needs and strategic initiatives.
Energetic and driven person with a passion for problemsolvingand providing outstanding client support

Desired Characteristics
Experience with Life or LTC insurance/reinsurance business processes.
Focused and flexible with ability to drive change and lead others to excel in a dynamicenvironment.
Familiarity with cloud platforms and modern data architectures (data lakes data warehouses analytics platforms).
Ability to translate complex technical concepts into clear communication tailored to a targeted audience.
Experience using Python for data processing automation and integration.
Working knowledge of R for data analysis or actuarial and statistical use cases.