Technical Project Manager Data Engineering Data Science
- Location
- Dallas
- Workplace
- Hybrid
- Compensation
- $60 – $70
About this role
Benefits:
- HYBRID
- Competitive salary
- Opportunity for advancement
Technical Project Manager | Data Engineering & Data Science
Location: Dallas, TX Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
Compensation: Competitive Market Rate
We 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.
In 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.
Required Qualifications
Technical Skills
Experience managing Data Engineering and/or Data Science projects
Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
Knowledge of ETL/ELT frameworks and modern data pipeline architecture
Familiarity with Machine Learning lifecycle management
Experience with Agile delivery methodologies (Scrum or SAFe)
Experience using Jira, Confluence, or similar project management tools
Understanding of cloud security, data governance, and data quality best practices
Project Management
Experience managing complex enterprise technology programs
Experience coordinating onsite and offshore GCC teams
Strong skills in project planning, dependency management, risk management, and stakeholder communication
Ability to communicate technical concepts effectively to executive leadership
Professional Skills
Excellent verbal and written communication
Strong organizational and planning abilities
Ability to manage multiple priorities in a fast-paced environment
Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
Lead end-to-end delivery of Data Engineering and Data Science initiatives
Define project scope, timelines, milestones, and success metrics
Manage project plans, RAID logs, risk registers, and executive status reporting
Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
Serve as the primary liaison between onsite stakeholders and offshore GCC teams
Coordinate work across multiple time zones
Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams
Technical Leadership
AWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions
Preferred Qualifications
Certifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect
Industry Experience :Commercial Airlines • Travel • Transportation • Logistics
Additional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps
Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs
Location: Dallas, TX Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
Compensation: Competitive Market Rate
We 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.
In 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.
Required Qualifications
Technical Skills
Experience managing Data Engineering and/or Data Science projects
Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
Knowledge of ETL/ELT frameworks and modern data pipeline architecture
Familiarity with Machine Learning lifecycle management
Experience with Agile delivery methodologies (Scrum or SAFe)
Experience using Jira, Confluence, or similar project management tools
Understanding of cloud security, data governance, and data quality best practices
Project Management
Experience managing complex enterprise technology programs
Experience coordinating onsite and offshore GCC teams
Strong skills in project planning, dependency management, risk management, and stakeholder communication
Ability to communicate technical concepts effectively to executive leadership
Professional Skills
Excellent verbal and written communication
Strong organizational and planning abilities
Ability to manage multiple priorities in a fast-paced environment
Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
Lead end-to-end delivery of Data Engineering and Data Science initiatives
Define project scope, timelines, milestones, and success metrics
Manage project plans, RAID logs, risk registers, and executive status reporting
Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
Serve as the primary liaison between onsite stakeholders and offshore GCC teams
Coordinate work across multiple time zones
Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams
Technical Leadership
AWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions
Preferred Qualifications
Certifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect
Industry Experience :Commercial Airlines • Travel • Transportation • Logistics
Additional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps
Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs
Flexible work from home options available.
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