Marriott Vacations Worldwide
Vacation Ownership
Director,DataEngineering
“Director, Data Engineering at Marriott Vacations Worldwide. Skills: Data Engineering, Data Architecture, Data Product Leadership, Cloud Data Platforms. Transform data capabilities into trusted assets. Enable analytics, AI, and decision-making”
What You'll Achieve.
Data products are trusted; Data products are adopted; Data products are reused; Business leaders see measurable value; Engineering teams deliver faster; Engineering teams deliver higher quality; Engineering teams deliver less re-work; Enterprise standards are strengthened; Platform costs are managed; Risk is managed; Technical debt is managed
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Bachelor's degree in Information Systems, Bachelor's degree in Data/Analytics, Bachelor's degree in Engineering, Bachelor's degree in Mathematics, 10 years of experience in data engineering, 10 years of experience in data architecture, 7 years designing data platforms, 7 years delivering data platforms, 7 years designing analytical datasets, 7 years delivering analytical datasets, 3 years driving modernization, 3 years cloud migration experience, 3 years legacy warehouse refactors, 3 years data lakehouse adoption, 3 years streaming enablement, 3 years data product implementation, Proven delivery ownership for multiple initiatives, Experience partnering with domain executives, Experience defining measurable outcomes, Experience driving adoption, SQL proficiency
Nice to Have
Master's degree preferred, MS Data Science/Analytics preferred, MS Information Systems preferred, Data mesh concepts experience preferred, Experience in a matrixed environment preferred
What You'll Do.
Transform data capabilities into trusted assets
Drive measurable improvements in data quality
Drive measurable improvements in data accessibility
Drive measurable improvements in cost efficiency
Drive measurable improvements in business value realization
Lead modernization of data architecture
Lead modernization of data platforms
Lead modernization of operating models
Deliver data products
Ensure data solutions adhere to enterprise standards
Establish data quality practices
Enforce data quality practices
Establish metadata practices
Enforce metadata practices
Establish lineage practices
Enforce lineage practices
Establish stewardship practices
Enforce stewardship practices
Drive accountability for data accuracy
Drive accountability for data completeness
Drive accountability for data timeliness
Partner with domain business leaders
Ensure data initiatives support operational performance
Ensure data initiatives support financial outcomes
Ensure data initiatives support strategic decision making
Quantify business value delivered
Communicate business value delivered
Manage end-to-end delivery of initiatives
Use agile delivery models
Use product-based delivery models
Remove delivery impediments
Ensure timely outcomes
Ensure high-quality outcomes
Collaborate with peer domain data leaders
Collaborate with central platform teams
Collaborate with enterprise architecture
Contribute to enterprise-wide data standards
Contribute to tooling decisions
Contribute to operating model evolution
Ensure data solutions comply with regulatory requirements
Ensure data solutions comply with privacy requirements
Ensure data solutions comply with security requirements
Manage technical debt
Manage platform costs
Improve operational stability
How You'll Work.
Team & Collaboration
Partner with domain executives; Partner with product owners; Partner with analytics teams; Partner with technology leaders; Collaborate with peer domain data leaders; Collaborate with central platform teams; Collaborate with enterprise architecture
Communication Scope
Communicate business value
Process & Methodology
Agile, Product-based delivery
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