Technical Project Manager Data Engineering Data Science

S

Select Minds LLC

Technical Project Manager Data Engineering Data Science

Dallas, TX
Full Time
Paid
  • Responsibilities

    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

    Flexible work from home options available.