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About the Role
As the Director, Data Engineering, you will lead the Data Engineering, Software Engineering, AI, and Innovation capabilities supporting Expedia Group’s Marketing Automation and MarTech organization. You will set the vision and execution strategy for the platforms, products, and services that connect customer, marketing, product, and operational data and enable responsible, scalable use of AI. You will ensure that data, software, and AI capabilities are trusted, secure, scalable, and easy to use, partnering with various stakeholders to improve customer engagement, campaign effectiveness, operational efficiency, and innovation speed.
Responsibilities
- Set and execute a multi-year data and technology strategy aligned to Marketing Automation, MarTech, personalization, customer engagement, and Digital Operations priorities.
- Lead three interconnected capabilities: data engineering and platform ownership; software engineering and integration services; and AI, innovation, experimentation, and emerging technology.
- Define architecture standards and make pragmatic build, buy, partner, and platform decisions that balance speed, scale, reliability, security, and cost.
- Build and evolve scalable data pipelines, data products, APIs, integrations, services, workflow automation, and developer tooling across the MarTech ecosystem.
- Establish strong practices for data quality, observability, lineage, access, governance, privacy, security, service ownership, and incident response.
- Partner with Analytics and business stakeholders to create trusted metrics, semantic models, and self-service capabilities that support better decisions.
- Enable advanced analytics, experimentation, machine learning, generative AI, and intelligent automation through fit-for-purpose data and engineering foundations.
- Establish the foundations for AI adoption, including model and prompt evaluation, data readiness, monitoring, cost management, access controls, human oversight, and responsible AI guardrails.
- Lead an innovation portfolio from problem discovery and prototyping through evaluation, productionization, or intentional shutdown.
- Create alignment across stakeholders on roadmaps, priorities, dependencies, investment choices, risks, and trade-offs, and communicate progress clearly to senior leadership.
- Build, lead, and develop a high-performing organization of engineering leaders and individual contributors across data, software, and innovation.
- Establish an operating model that balances committed delivery, platform health, technical debt reduction, modernization, and responsible experimentation.
- Improve efficiency through automation, reusable platforms, technology simplification, cloud and vendor cost management, and disciplined portfolio planning.
Requirements
- 10+ years of experience in data engineering, software engineering, platform engineering, or a related discipline, including 3+ years leading managers or multi-disciplinary engineering teams.
- Experience defining and executing technology strategy across complex, enterprise-scale environments.
- A track record of building and operating production-grade data platforms, pipelines, integrations, software services, and automation.
- Strong knowledge of data architecture, data modeling, ETL/ELT, batch and streaming systems, APIs, event-driven design, orchestration, and distributed processing.
- Experience with SQL, Python, cloud platforms such as AWS, GCP, or Azure, and technologies such as Spark, CI/CD, observability, and infrastructure automation.
- Experience integrating CRM, marketing automation, customer data, analytics, experimentation, and personalization platforms.
- Experience establishing data quality, governance, security, privacy, reliability, responsible AI, and operational excellence practices.
- Experience leading software delivery, production operations, incident management, modernization, and platform simplification.
- Experience applying machine learning, generative AI, intelligent automation, or AI-enabled engineering practices in production or enterprise environments.
- Strong communication and influencing skills, with the ability to translate complex technical concepts and trade-offs for technical and non-technical audiences.
- A track record of building high-performing teams, developing leaders, and creating effective partnerships across functions.
- Sound judgment in balancing innovation and speed with sustainability, control, maintainability, and long-term platform health.
Skills
- SQL
- Python
- AWS
- GCP
- Azure
- Spark
- CI/CD
- Observability
- Infrastructure automation
- CRM
- Marketing automation
- Customer data platforms
- Identity resolution
- Consent management
- Audience activation
- Personalization ecosystems
- Machine learning
- Generative AI
- Predictive analytics
- AI agents
- Model operations
- LLM operations
- Experimentation platforms
- AI-enabled engineering productivity
- Responsible AI practices
- Data products
- Semantic layers
- Metrics platforms
- Self-service analytics capabilities
- Cloud migration
- Platform consolidation
- Technology simplification
- GDPR
- CCPA
- Data protection requirements
- Strategic technology vendors
- External partners
- Enterprise platform dependencies
Location
- Austin
Work Type
- Full-time
Experience Level
- Director
- 10+ years of experience
- 3+ years leading managers or multi-disciplinary engineering teams
Salary/Compensations
- $231,000.00 - $323,500.00
- Potential to increase pay up to $369,500.00 based on performance
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Employee Assistance Program
- Wellness and travel reimbursement
- Travel discounts
- International Airlines Travel Agent Network (IATAN) membership
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
- We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
- Expedia Group B2B connects partners across the travel industry to our leading technology, supply, and services.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
- This employer participates in E-Verify.
- The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.