GEICO
Product Manager, Data Platform – Data Ingestion and Movement
GEICO, Chevy Chase, Maryland, United States, 20815
Overview
Product Manager, Data Platform – Data Ingestion and Movement. GEICO is hiring for this role. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. The role focuses on data ingestion, ETL/ELT pipelines, and data movement services to enable reliable data flow into our lakehouse and other data stores. Required qualifications include a strong understanding of data pipelines, data integration patterns, data orchestration, and platform engineering. The candidate should be able to abstract complexity, empower domain teams to build, deploy, and govern data pipelines, and manage stakeholders to align technical solutions with business value. Key Responsibilities
Support the development and execution of the 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 Advocate for the Data Ingestion and Movement platform across the organization and drive stakeholder alignment Stay informed about industry trends and competitive landscape (e.g., Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow) to inform data ingestion strategy Support requirement gathering and 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 Collaborate 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 (e.g., Apache Kafka, Apache Airflow, Apache Spark, AWS Glue) 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 is a plus 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 Salary
Base pay range: $88,150.00/yr - $157,850.00/yr The above annual salary range is a general guideline. Factors include scope, responsibilities, experience, education, location, and market considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. GEICO Pledge
Great Company:
At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. Great Careers:
We offer a career where you can learn, grow, and thrive through personalized development programs, mentorship, and coaching. Great Culture:
We foster an inclusive culture rooted in integrity, action, and a winning mindset with shared purpose. Great Rewards:
We offer compensation and benefits designed to support well-being and financial future. Comprehensive Total Rewards program with personalized coverage Financial benefits including market-competitive compensation; 401K with 6% match; incentives; tuition assistance Access to mental healthcare, fertility and adoption assistance Flexible work options including GEICO Flex program (work from anywhere in the US for up to four weeks per year) The equal employment opportunity policy of the GEICO Companies provides for 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, 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Product Management and Marketing Industries Insurance
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Product Manager, Data Platform – Data Ingestion and Movement. GEICO is hiring for this role. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. The role focuses on data ingestion, ETL/ELT pipelines, and data movement services to enable reliable data flow into our lakehouse and other data stores. Required qualifications include a strong understanding of data pipelines, data integration patterns, data orchestration, and platform engineering. The candidate should be able to abstract complexity, empower domain teams to build, deploy, and govern data pipelines, and manage stakeholders to align technical solutions with business value. Key Responsibilities
Support the development and execution of the 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 Advocate for the Data Ingestion and Movement platform across the organization and drive stakeholder alignment Stay informed about industry trends and competitive landscape (e.g., Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow) to inform data ingestion strategy Support requirement gathering and 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 Collaborate 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 (e.g., Apache Kafka, Apache Airflow, Apache Spark, AWS Glue) 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 is a plus 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 Salary
Base pay range: $88,150.00/yr - $157,850.00/yr The above annual salary range is a general guideline. Factors include scope, responsibilities, experience, education, location, and market considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. GEICO Pledge
Great Company:
At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. Great Careers:
We offer a career where you can learn, grow, and thrive through personalized development programs, mentorship, and coaching. Great Culture:
We foster an inclusive culture rooted in integrity, action, and a winning mindset with shared purpose. Great Rewards:
We offer compensation and benefits designed to support well-being and financial future. Comprehensive Total Rewards program with personalized coverage Financial benefits including market-competitive compensation; 401K with 6% match; incentives; tuition assistance Access to mental healthcare, fertility and adoption assistance Flexible work options including GEICO Flex program (work from anywhere in the US for up to four weeks per year) The equal employment opportunity policy of the GEICO Companies provides for 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, 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Product Management and Marketing Industries Insurance
#J-18808-Ljbffr