Select Minds LLC · Dallas, TX

Technical Project Manager Data Engineering Data Science at Select Minds LLC — Dallas, TX

Full-timeDallas, TX$60–$70/hourPosted 2026-07-27
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Full job description

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

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 QuickSight • Microsoft Power BI • DataOps • MLOps Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs

Before You Apply Please ensure you meet most of the following qualifications:

  • 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