Location: Chicago, IL

*** Mention DataYoshi when applying ***

The Opportunity

At Hyatt, we’re working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our guests, customer, owners and colleagues.

Hyatt seeks a motivated and prolific engineer who is passionate about data to help us build out the next generation of data engineering applications and products. The Director, Data Engineering is responsible for enabling and empowering our partners by democratizing access to guest interaction, operational and market data and fostering algorithmic decision making across the company.

In this role you’ll build business-critical, scalable and robust data and machine-learning solutions, and intuitive and trustworthy data products that power data discovery, self-serve analytics, operational innovation and drive product innovation. This position is not just a management position, you will be expected to code, manage people, and architect for the future of data at Hyatt as well as the department structure. You will have the opportunity to build and grow a team of exceptional software engineers and technical leaders.

You will be part of a global data community and you will work in cross-functional and agile project teams alongside Data Product Managers, Data Stewards, Data Scientists, Machine Learning Engineers, other Data Engineers, and executives to improve the experience of guests and colleagues worldwide.

Who We Are
Hyatt is proud to have a culture where coworkers become friends and family. Since 1957, our focus on care for our employees and our guests has served as the heart of our business and made Hyatt one of the best hospitality brands in the world, with more than 950 hotel, all-inclusive, and wellness resort properties in 67 countries across six continents.

As we continue to grow – even during the most challenging and uncertain times – we never lose sight of what’s most important: People.

Why now?
We are in a time of extraordinary transformation. Passion for personal travel combined with the explosive growth of global business underpinned our growth for years. With Covid-19, much travel has ceased - but the passion for travel remains. Now that vaccines have been introduced, one of the things people look forward to most is traveling. Hyatt is at the epicenter of the return to travel - and we are looking for passionate changemakers to be a part of our journey. When you join Hyatt, you will join a world of possibility.

How We Care for Our People
Wellbeing is the ultimate realization of our purpose — we care for people so they can be their best. We believe this focus on employees is the key to our success and we’ve earned a place on Fortune’s prestigious “100 Best Companies to Work For®” for the last seven years, ranking No. 28 in 2020.

We’re proud to offer exceptional benefits which may include:

  • Complimentary and discounted stays at Hyatt hotels around the world
  • A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
  • Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, on-site rest and relaxation, meditation lounges and flexible schedules

Our Commitment to Diversity, Equity and Inclusion
Hyatt has made significant strides toward building a diverse, equitable and inclusive culture. With more than 127,000 colleagues across 67 countries, we embrace all cultures, races, ethnicities, genders, sexual orientations, ages, abilities, perspectives, and ways of thinking. Our culture is one that empowers every individual to be his or her best, and such authentic connection inspires the way we care for each other and for our guests.

Who You Are
We care about your qualifications, but we care more about your qualities when you join the Hyatt family. As our ideal candidate, you understand the power and purpose of our Culture of Care and share our core values of Respect, Integrity, Humility, Empathy, Creativity and Fun. Our colleagues embody our purpose of caring for people, including each other, our guests, and ultimately our owners. This commitment to genuine service and care is what differentiates us and drives guest preference.

The Role

  • Build and manage a high performing data engineering team whose core work will be to:
    • Design and build data pipelines to support data analytics and science projects following software engineering best practices
    • Use state of the art technologies to acquire, ingest and transform big datasets
    • Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
    • Create and manage data environments in the cloud or on premise
    • Develop and support operational reporting and self-service data engineering work and our business intelligence suite
    • Build prototypes, optimize and deliver data for core portfolio of KPIs
  • Collaborate with stakeholders to increase speed, reliability and quality of data structures; anticipate technical obstacles; drive adoption of solutions
  • Influence key decisions on architecture and lead team to implement scalable, reliable and cost-effective engineering solutions
  • Define processes to achieve operations excellence and system reliability
  • Accountable for overall integrity, completeness and accuracy of data within domain and as such defines SLAs; implements systems to detect bugs and monitor quality; improves discoverability of data; tests and root causes data quality issues and facilitates remediation
  • Work across business to ensure master integration and meta data requirements are met as part of team’s work
  • Leads changes and revisions to master data, metadata and data hierarchies;
    • Identify risk areas and enhancement opportunities to Hyatt Governance model and ensure information security standards are maintained at all times
  • Create and cultivate strategic relationships with Hyatt's Chief Security Office, Chief Privacy Office and Hyatt's ExComm

The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.



  • Experience in building and mentoring a strong team of data, machine learning and/or software engineers
  • Significant experience working on large scale data warehouses (DW)/ operational data stores (ODS).
  • Experience in building, optimizing, and maintaining data pipelines and data architecture in Cloud based environments like Amazon Web Service and Snowflake.
  • Good experience of working with globally distributed teams in a collaborative and productive manner.
  • Excellent interpersonal and communication skills across variety of stakeholders, ability to negotiate with and influence others.
  • Strong attention to detail, problem-solving and planning skills.
  • Entrepreneurial spirit; drives change and innovation.
  • Designing and developing data API's for reusability.
  • Experience working in a data warehouse environment with diverse data sources and visualization tools like Tableau, and ThoughtSpot.
  • Confident in managing and executing projects cross-functionally with various stakeholders from start to finish including the ability to evaluate opportunities and manage tradeoffs and align workflows and performance dependencies across multiple workstreams/teams.
  • Have a bachelors or Masters in Computer Science or related field with at least 5 years of experience in a highly technical data organization.

The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

*** Mention DataYoshi when applying ***

Offers you may like...

  • SmartBLKTrade Limited (SBT)

    Director of AI Dept / Research Data Scientist / AI...
    Hong Kong
  • PwC

    Data Analyst/Data Scientist - Director
    Brisbane QLD
  • SmartBLKTrade Limited (SBT)

    Director of AI Dept / Research Data Scientist / AI...
    Hong Kong
  • SmartBLKTrade Limited (SBT)

    Director of AI Dept / Research Data Scientist / AI...
    Hong Kong
  • BlackRock

    Lead Data Engineer, Director - AI Labs
    New York, NY