{"schemaVersion":"jobsearcher.job.v1","id":"177198b378976fa10f153a85","url":"https://jobsearcher.com/jobs/177198b378976fa10f153a85","canonicalUrl":"https://jobsearcher.com/jobs/177198b378976fa10f153a85","title":"Technical Project Manager Data Engineering Data Science","description":"Benefits:\nHYBRID\nCompetitive salary\nOpportunity for advancement\nTechnical Project Manager | Data Engineering & Data Science\nLocation: Dallas, TX Hybrid (Onsite + Remote)\nEmployment Type: Full Time / Contract (W2)\nDuration: 12+ Months (Ongoing)\nCloud Environment: Amazon Web Services (AWS)\nTeam Structure: US Onsite Teams and Offshore GCC Teams\nCompensation: Competitive Market Rate\n\nWe are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.\n\nIn this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.\n\nRequired Qualifications\n\nTechnical Skills\n\nExperience managing Data Engineering and/or Data Science projects\nStrong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions\nKnowledge of ETL/ELT frameworks and modern data pipeline architecture\nFamiliarity with Machine Learning lifecycle management\nExperience with Agile delivery methodologies (Scrum or SAFe)\nExperience using Jira, Confluence, or similar project management tools\nUnderstanding of cloud security, data governance, and data quality best practices\n\nProject Management\n\nExperience managing complex enterprise technology programs\nExperience coordinating onsite and offshore GCC teams\nStrong skills in project planning, dependency management, risk management, and stakeholder communication\nAbility to communicate technical concepts effectively to executive leadership\n\nProfessional Skills\n\nExcellent verbal and written communication\nStrong organizational and planning abilities\nAbility to manage multiple priorities in a fast-paced environment\nComfortable working with cross-functional and multicultural teams\n\nKey Responsibilities\n\nProject Delivery\n\nLead end-to-end delivery of Data Engineering and Data Science initiatives\nDefine project scope, timelines, milestones, and success metrics\nManage project plans, RAID logs, risk registers, and executive status reporting\nLead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives\n\nOffshore Team Coordination\n\nServe as the primary liaison between onsite stakeholders and offshore GCC teams\nCoordinate work across multiple time zones\nManage resource planning, priorities, escalations, and delivery governance\nEnsure transparency and accountability across distributed teams\n\nTechnical Leadership\n\nAWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions\n\nAdditional responsibilities include:\n\nPartner with Data Engineers and Data Scientists\nSupport architecture reviews and data pipeline planning\nCoordinate Machine Learning model deployments\nEnsure compliance with cloud security, data governance, and data quality standards\n\nStakeholder Management\n\nPresent project updates to executive leadership\nAct as the primary point of contact for business and technology stakeholders\nIdentify project risks and drive mitigation plans\nFacilitate collaboration across Engineering, Analytics, Operations, and IT teams\n\nPreferred Qualifications\nCertifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect\nIndustry Experience :Commercial Airlines • Travel • Transportation • Logistics\nAdditional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps\nDomain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs\n\nBefore You Apply\nPlease ensure you meet most of the following qualifications:\n\nExperience managing Data Engineering or Data Science programs\nStrong understanding of AWS data services\nExperience leading Agile project teams\nExperience coordinating onsite and offshore teams\nStrong stakeholder management and executive communication skills\nAbility to work in a Hybrid environment\nValid authorization to work in the United States under one of the accepted work authorization categories\nFlexible work from home options available.","company":"Select Minds","rawCompany":"select minds","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-04T23:27:17.486Z","occupations":[{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"488190","title":"Other Support Activities for Air Transportation","slug":"other-support-activities-for-air-transportation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Project Manager Data Engineering Data Science","description":"Benefits:\nHYBRID\nCompetitive salary\nOpportunity for advancement\nTechnical Project Manager | Data Engineering & Data Science\nLocation: Dallas, TX Hybrid (Onsite + Remote)\nEmployment Type: Full Time / Contract (W2)\nDuration: 12+ Months (Ongoing)\nCloud Environment: Amazon Web Services (AWS)\nTeam Structure: US Onsite Teams and Offshore GCC Teams\nCompensation: Competitive Market Rate\n\nWe are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.\n\nIn this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.\n\nRequired Qualifications\n\nTechnical Skills\n\nExperience managing Data Engineering and/or Data Science projects\nStrong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions\nKnowledge of ETL/ELT frameworks and modern data pipeline architecture\nFamiliarity with Machine Learning lifecycle management\nExperience with Agile delivery methodologies (Scrum or SAFe)\nExperience using Jira, Confluence, or similar project management tools\nUnderstanding of cloud security, data governance, and data quality best practices\n\nProject Management\n\nExperience managing complex enterprise technology programs\nExperience coordinating onsite and offshore GCC teams\nStrong skills in project planning, dependency management, risk management, and stakeholder communication\nAbility to communicate technical concepts effectively to executive leadership\n\nProfessional Skills\n\nExcellent verbal and written communication\nStrong organizational and planning abilities\nAbility to manage multiple priorities in a fast-paced environment\nComfortable working with cross-functional and multicultural teams\n\nKey Responsibilities\n\nProject Delivery\n\nLead end-to-end delivery of Data Engineering and Data Science initiatives\nDefine project scope, timelines, milestones, and success metrics\nManage project plans, RAID logs, risk registers, and executive status reporting\nLead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives\n\nOffshore Team Coordination\n\nServe as the primary liaison between onsite stakeholders and offshore GCC teams\nCoordinate work across multiple time zones\nManage resource planning, priorities, escalations, and delivery governance\nEnsure transparency and accountability across distributed teams\n\nTechnical Leadership\n\nAWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions\n\nAdditional responsibilities include:\n\nPartner with Data Engineers and Data Scientists\nSupport architecture reviews and data pipeline planning\nCoordinate Machine Learning model deployments\nEnsure compliance with cloud security, data governance, and data quality standards\n\nStakeholder Management\n\nPresent project updates to executive leadership\nAct as the primary point of contact for business and technology stakeholders\nIdentify project risks and drive mitigation plans\nFacilitate collaboration across Engineering, Analytics, Operations, and IT teams\n\nPreferred Qualifications\nCertifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect\nIndustry Experience :Commercial Airlines • Travel • Transportation • Logistics\nAdditional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps\nDomain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs\n\nBefore You Apply\nPlease ensure you meet most of the following qualifications:\n\nExperience managing Data Engineering or Data Science programs\nStrong understanding of AWS data services\nExperience leading Agile project teams\nExperience coordinating onsite and offshore teams\nStrong stakeholder management and executive communication skills\nAbility to work in a Hybrid environment\nValid authorization to work in the United States under one of the accepted work authorization categories\nFlexible work from home options available.","datePosted":"2026-08-04T23:27:17.486Z","dateModified":"2026-08-04T23:27:17.486Z","hiringOrganization":{"@type":"Organization","name":"Select Minds","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"177198b378976fa10f153a85"},"url":"https://jobsearcher.com/jobs/177198b378976fa10f153a85"}}