About nexawork – Pioneering the Future of Flight
nexawork is on an ambitious journey to become the world’s most admired airline, redefining how people travel across the globe. With a relentless focus on safety, sustainability, and cutting‑edge technology, nexawork is building a culture where bold ideas thrive and every employee is empowered to make a meaningful impact. As we expand our operations worldwide, we are investing heavily in talent that can drive transformative change across our data and AI ecosystems. If you are passionate about shaping the next generation of airline experiences, nexawork offers a platform where your expertise will be celebrated and your career will soar.
Why Join nexawork?
At nexawork, we recognize that our people are the engine of our success. We provide a comprehensive benefits suite designed to keep you healthy, financially secure, and inspired. From generous parental leave and 401(k) matching to exclusive travel privileges and continuous learning opportunities, our rewards package reflects our commitment to your well‑being and professional growth. Join a team that values diversity, encourages curiosity, and rewards innovation.
Position Overview
The Ranking Director, Machine Learning Engineering and Data Platform will be a cornerstone of nexawork’s Advanced Innovation organization. This senior leadership role is responsible for enterprise‑wide ML engineering strategy, data platform architecture, and the delivery of robust, cloud‑native solutions that power critical business functions. You will own the end‑to‑end lifecycle of data and ML systems, champion best practices, and mentor a high‑performing team of engineers, data scientists, and platform specialists.
Key Responsibilities
- Strategic Leadership: Define and execute a multi‑year roadmap for ML engineering and data platform initiatives aligned with nexawork’s business objectives.
- Architecture & Design: Lead the design of scalable, secure, and cost‑effective data pipelines, lakehouse architectures, and ML model serving frameworks on public cloud platforms.
- Collaboration: Partner with product owners, business analysts, and domain experts to translate complex requirements into technical solutions that deliver measurable value.
- Innovation Enablement: Drive adoption of emerging technologies such as serverless computing, streaming analytics, and observability tools (e.g., OpenTelemetry, OpenLineage, Marquez).
- Team Development: Recruit, coach, and retain top talent; foster a culture of continuous learning, knowledge sharing, and technical excellence.
- Operational Excellence: Establish CI/CD pipelines, automated testing, and monitoring practices to ensure high availability and reliability of data services.
- Governance & Compliance: Implement data quality, security, and privacy standards in line with industry regulations and internal policies.
- Stakeholder Communication: Present technical roadmaps, progress updates, and risk assessments to senior leadership and cross‑functional partners.
Essential Qualifications
- Education & Experience: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred) with at least 8 years of hands‑on experience designing and operating large‑scale data platforms.
- Cloud Expertise: Minimum 4 years of experience building data pipelines and ML workflows on AWS (EC2, S3, IAM, Lambda, Kinesis, SNS, etc.) using infrastructure‑as‑code tools such as Terraform.
- Programming Proficiency: Advanced skills in Python, PySpark, and at least one compiled language (e.g., Java, Scala, Go).
- Leadership Track Record: Demonstrated ability to lead cross‑functional teams, manage complex projects, and deliver production‑grade solutions on schedule.
- Tooling Knowledge: Hands‑on experience with CI/CD tools (Jenkins, GitLab CI), version control (Git), issue tracking (JIRA), and data quality frameworks (Deequ, Great Expectations).
- Eligibility: Must be legally authorized to work in the United States without employer sponsorship.
Preferred (Nice‑to‑Have) Qualifications
- AWS certifications such as Solutions Architect – Professional, DevOps Engineer, or Data Analytics.
- Experience with data observability platforms (OpenTelemetry, OpenLineage, Marquez) and streaming frameworks (Kafka, Flink).
- Deep understanding of Linux/Windows operating systems and container orchestration (Kubernetes, ECS).
- Background in airline or transportation industries, bringing domain‑specific insights to data‑driven decision making.
- Track record of publishing technical papers, open‑source contributions, or speaking at industry conferences.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex problems, identify root causes, and devise elegant technical solutions.
- Communication: Clear, concise, and persuasive communication style for both technical and non‑technical audiences.
- Adaptability: Thrive in a fast‑paced, evolving environment; comfortable with ambiguity and rapid iteration.
- Customer‑Centric Mindset: Focus on delivering value to internal stakeholders and ultimately to nexawork’s passengers.
- Mentorship: Passion for coaching junior engineers and fostering a collaborative, inclusive team culture.
Career Growth & Learning Opportunities
nexawork invests heavily in the professional development of its leaders. In this role, you will have access to:
- Executive mentorship programs linking you with senior business leaders.
- Sponsored certifications (AWS, GCP, Azure) and tuition reimbursement for advanced degrees.
- Opportunities to lead high‑visibility, cross‑functional transformation initiatives that shape the future of airline operations.
- Participation in internal hackathons, innovation labs, and industry conferences.
- A clear promotion pathway from Director to Vice President of Data & AI, with corresponding compensation and influence.
Work Environment & Culture at nexawork
Our teams operate in a hybrid model that balances remote flexibility with collaborative in‑person sessions at state‑of‑the‑art hubs worldwide. nexawork champions a culture of inclusion, where diverse perspectives are not only welcomed but essential to our success. Employees enjoy:
- Flexible work schedules that accommodate personal and family needs.
- Regular “innovation days” where teams can explore experimental ideas without the constraints of day‑to‑day responsibilities.
- Employee resource groups focused on gender equity, multicultural inclusion, and veteran support.
- Transparent communication from leadership, including quarterly town halls and open Q&A sessions.
Compensation, Perks & Benefits (Overview)
nexawork offers a competitive total rewards package designed to attract and retain top talent:
- Base Salary: Market‑aligned compensation with annual performance bonuses.
- Retirement Savings: 401(k) plan with generous company match.
- Health & Wellness: Medical, dental, vision coverage; Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
- Paid Time Off: Generous vacation, paid holidays, and parental leave.
- Travel Benefits: Complimentary or heavily discounted airline tickets for employees and eligible family members.
- Learning & Development: Tuition reimbursement, certification sponsorship, and access to internal learning platforms.
- Employee Assistance Programs: Confidential counseling, legal resources, and financial planning services.
- Recognition Programs: Awards for innovation, safety, and outstanding performance.
How to Apply
If you are ready to lead a world‑class data and AI organization at a forward‑thinking airline, we want to hear from you. Submit your resume and a brief cover letter outlining your vision for data‑driven transformation at nexawork.
Apply for this job