Technical Project Manager Data Engineering Data Science

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 Athena, Amazon Sage Maker, 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 Sage Maker, Amazon Athena, AWS Step Functions

Additional responsibilities include:

• Partner with Data Engineers and Data Scientists
• Support architecture reviews and data pipeline planning
• Coordinate Machine Learning model deployments
• Ensure compliance with cloud security, data governance, and data quality standards

Stakeholder Management

• Present project updates to executive leadership
• Act as the primary point of contact for business and technology stakeholders
• Identify project risks and drive mitigation plans
• Facilitate collaboration across Engineering, Analytics, Operations, and IT teams

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 Quick Sight, Microsoft Power BI, Data Ops, MLOps Domain Knowledge :

Passenger Operations, Revenue Management, Fleet Analytics, Loyalty Programs

• Experience managing Data Engineering or Data Science programs
• Strong understanding of AWS data services
• Experience leading Agile project teams
• Experience coordinating onsite and offshore teams
• Strong stakeholder management and executive communication skills
• Ability to work in a Hybrid environment
• Valid authorization to work in the United States under one of the accepted work authorization categories

Flexible work from home options available.

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