Your resume and cover letter, tailored to exactly what they’re hiring for.
Get past ATS filters
Job summary
AllCode, located in the Town of Florida, New York, is looking for a seasoned Senior Data Program Manager to oversee enterprise-wide data modernization efforts. The role requires managing the lifecycle of data programs, guiding transitions to cloud-native architectures on AWS, and collaborating with stakeholders and architects. The ideal candidate possesses over 10 years of experience in data platform programs and a robust technical background in AWS. Join us to drive innovative data solutions in a dynamic environment.
Qualifications
10+ years of experience in leading complex data platform programs, particularly in enterprise-scale environments.
Strong technical background in AWS services including EC2, S3, Glue, Lambda, EMR, IAM, and CloudFormation.
Hands-on experience with PySpark, Kafka, TALEND, and DevOps tools such as Jenkins and GitHub.
Responsibilities
Manage full lifecycle delivery of large-scale data programs, focusing on modernizing MDM and ETL ecosystems.
Guide the shift from traditional ETL platforms to AWS-native solutions leveraging Glue and PySpark.
Partner with architects to design scalable data integration frameworks.
Skills
Leading complex data platform programs
Master Data Management
ETL modernization
AWS services
PySpark
Kafka
TALEND
DevOps tools
Tools
AWS Glue
Informatica PowerCenter
Jenkins
GitHub
Job description
We are seeking a seasoned Senior Data Program Manager to lead enterprise-wide data modernization efforts. This individual will be instrumental in overseeing initiatives that enhance master data capabilities, modernize ETL processes, and transition data platforms to AWS cloud-native architectures. The role requires a strategic mindset, strong technical acumen, and a focus on governance, cross-functional coordination, and successful delivery outcomes.
Key Responsibilities
End-to-End Program Oversight: Manage full lifecycle delivery of large-scale data programs, with a focus on modernizing MDM and ETL ecosystems.
Cloud-Native Enablement: Guide the shift from traditional ETL platforms (e.g., Informatica PowerCenter) to AWS-native solutions leveraging Glue, PySpark, and other cloud services.
Data Architecture Collaboration: Partner with architects to design scalable data integration frameworks and define the future-state MDM architecture in a SaaS-based environment.
Stakeholder Coordination: Facilitate communication and alignment across technology teams, business units, and external partners to drive program transparency and success.
Governance & Metrics: Implement program governance structures, monitor delivery metrics, and provide clear status reporting to executive sponsors and clients.
Leadership & Coaching: Support and mentor data architects and engineering leads, promoting best practices and a culture of delivery excellence.
Qualifications & Skills
10+ years of experience in leading complex data platform programs, particularly in enterprise-scale environments.
In-depth knowledge of Master Data Management, ETL modernization, and enterprise data integration practices.
Strong technical background in AWS services including EC2, S3, Glue, Lambda, EMR, IAM, and CloudFormation.
Hands-on experience with PySpark, Kafka, TALEND, and DevOps tools such as Jenkins and GitHub.
Familiarity with data governance principles, metadata management, and ensuring data quality at scale.
Proven ability to manage stakeholders, influence decision-making, and drive teams toward measurable outcomes.