GEICO
Product Manager, Data Platform – Data Ingestion and Movement
GEICO, Chicago, Illinois, United States, 60290
Product Manager, Data Platform – Data Ingestion and Movement
Join GEICO as a Product Manager responsible for the data ingestion and movement platform. This role will help drive product direction for data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions.
Base Pay Range $88,150.00/yr – $157,850.00/yr
Description As a Product Manager for Data Ingestion and Movement, you will support the product vision and execution for GEICO’s data ingestion and movement products. To shape a platform that enables pipeline‑as‑a‑service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value.
Key Responsibilities
Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs.
Create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short‑term delivery with long‑term strategic objectives.
Evangelize the Data Ingestion and Movement platform across the organization and drive stakeholder alignment.
Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy.
Gather requirements and define product strategy for data ingestion, ETL/ELT pipelines, and data movement services.
Understand end‑to‑end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics.
Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes.
Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards.
Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities.
Define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance.
Support customer roadshows and training on data ingestion and movement capabilities.
Build instrumentation and observability into data ingestion and movement tools to enable data‑driven product decisions and pipeline monitoring.
Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products.
Partner with customer success, support, and engineering teams to create clear feedback loops.
Translate data ingestion and movement technical capabilities into business value and user benefits.
Support alignment across multiple stakeholders and teams in complex, ambiguous environments.
Qualifications
Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.).
Experience with data integration APIs, connectors, and data pipeline orchestration tools.
Basic understanding of data pipeline monitoring, observability, and data quality validation practices.
Experience in cloud data ecosystems (AWS, GCP, Azure).
Proven analytical and problem‑solving abilities with a data‑driven approach to decision‑making.
Experience working with Agile methodologies and tools (JIRA, Azure DevOps).
Good communication, stakeholder management, and cross‑functional collaboration skills.
Strong organizational skills with ability to manage product backlogs.
Preferred
Previous experience as a software or data engineer.
Strong business acumen to prioritize features based on customer value and business impact.
Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.).
Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion.
Insurance industry experience.
Experience
Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure.
Track record of delivering successful products in fast‑paced environments.
Experience supporting complex, multi‑stakeholder initiatives.
Proven ability to work with technical teams and translate business requirements into technical product specifications.
Experience with customer research, user interviews, and data‑driven decision making.
Education
Bachelor’s degree in computer science, engineering, management information systems, or related technical field required.
MBA/MS or equivalent experience preferred.
Annual Salary $88,150.00 – $157,850.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
The GEICO Pledge Great Company, Great Culture, Great Rewards and Great Careers. We value innovation, inclusion, and a commitment to excellence.
Equal Employment Opportunity The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
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Base Pay Range $88,150.00/yr – $157,850.00/yr
Description As a Product Manager for Data Ingestion and Movement, you will support the product vision and execution for GEICO’s data ingestion and movement products. To shape a platform that enables pipeline‑as‑a‑service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value.
Key Responsibilities
Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs.
Create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short‑term delivery with long‑term strategic objectives.
Evangelize the Data Ingestion and Movement platform across the organization and drive stakeholder alignment.
Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy.
Gather requirements and define product strategy for data ingestion, ETL/ELT pipelines, and data movement services.
Understand end‑to‑end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics.
Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes.
Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards.
Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities.
Define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance.
Support customer roadshows and training on data ingestion and movement capabilities.
Build instrumentation and observability into data ingestion and movement tools to enable data‑driven product decisions and pipeline monitoring.
Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products.
Partner with customer success, support, and engineering teams to create clear feedback loops.
Translate data ingestion and movement technical capabilities into business value and user benefits.
Support alignment across multiple stakeholders and teams in complex, ambiguous environments.
Qualifications
Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.).
Experience with data integration APIs, connectors, and data pipeline orchestration tools.
Basic understanding of data pipeline monitoring, observability, and data quality validation practices.
Experience in cloud data ecosystems (AWS, GCP, Azure).
Proven analytical and problem‑solving abilities with a data‑driven approach to decision‑making.
Experience working with Agile methodologies and tools (JIRA, Azure DevOps).
Good communication, stakeholder management, and cross‑functional collaboration skills.
Strong organizational skills with ability to manage product backlogs.
Preferred
Previous experience as a software or data engineer.
Strong business acumen to prioritize features based on customer value and business impact.
Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.).
Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion.
Insurance industry experience.
Experience
Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure.
Track record of delivering successful products in fast‑paced environments.
Experience supporting complex, multi‑stakeholder initiatives.
Proven ability to work with technical teams and translate business requirements into technical product specifications.
Experience with customer research, user interviews, and data‑driven decision making.
Education
Bachelor’s degree in computer science, engineering, management information systems, or related technical field required.
MBA/MS or equivalent experience preferred.
Annual Salary $88,150.00 – $157,850.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
The GEICO Pledge Great Company, Great Culture, Great Rewards and Great Careers. We value innovation, inclusion, and a commitment to excellence.
Equal Employment Opportunity The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
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