Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Oversee YETI’s Data Warehouse, Analytics Platforms, MDM, and Integration Platforms. Define and execute the enterprise data, analytics, master data management (MDM), and integration strategy. Lead the modernization of YETI’s data ecosystem to leverage trusted data, advanced analytics, automation, AI, and machine learning for accelerated growth and improved decision-making. Accountable for the performance and evolution of enterprise data warehouse, analytics platforms, integration services, and API strategy, while building and leading high-performing teams and strategic vendor partnerships.

Responsibilities

Work cross-functionally across engineering, product, sales, and other teams to support successful implementations.
Modernize core data infrastructure and data sets to support business growth.
Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible and adaptable data architecture.
Lead and manage end-to-end cloud-native data platform/data warehouse solutions, providing scalable data and capabilities for Data Products & AI/ML Solutions.
Optimize architecture to meet business requirements and needs.
Provide tools, technologies, data architectures, and data stewardship for leveraging analytics in business decisions with structured and unstructured data.
Manage data quality, accuracy, and security.
Identify, design, and implement engineering process improvements by automating manual processes, optimizing data pipelines, and re-designing services for scalability.
Collaborate with BI Engineers, Software Engineers, Data Scientists, and business stakeholders to deliver high-quality data architecture and pipelines.
Provide strategy and tools for data exploration, reporting, and the advancement towards AI/ML models.
Establish and maintain best practices, standards, and governance for data quality, security, privacy, and compliance.
Develop and implement Enterprise Integration strategy and lead the implementation of a scalable API-first integration platform.
Lead enterprise integrations capabilities covering data movement across supply chain, merchandising, finance, store, ecommerce, HR, etc.
Hire and lead a team of data engineers and analytics professionals.
Develop and execute strategies for maintaining and enhancing enterprise data solutions, including networks, servers, storage, and cloud services.
Build frameworks for optimal extraction, transformation, and loading of data from various sources using GCP technologies.
Build analytics tools utilizing the data pipeline to provide actionable insights and integrate them with consumer touchpoints.
Oversee managed services contracts for data warehouse, analytics platform, and services, ensuring service level agreements and quality standards.
Collaborate with vendors and partners to optimize technology solutions.
Collaborate with cross-functional teams to ensure seamless equipment lifecycle processes.

Requirements

Bachelor’s degree required.
Greater than 15 years of experience in Technology roles, with extensive experience in data engineering and integrations, or equivalent combination of education and experience.
Greater than 10 years of people management experience, managing both internal and external (contract) resources of varying seniority.
At least 5 years demonstrated leadership experience in complex business and technical environments, specifically in developing and maintaining large analytical data warehouses (BI/Big data) and a leader in technical problem solving and data integration tools.
Experience with API Integration platforms and data movement platforms, Mulesoft, Boomi, Apigee, Google Cloud Platform or other cloud technologies, BigQuery, Databricks, Business Objects, Tableau, Power BI, and other emerging big data technologies.
Strong understanding of next-gen data practices (e.g., MLOps, Data Ops, Data Science) and experience applying them in an enterprise organization.
Fluent in data technologies such as data governance tooling, data platform technologies, and enterprise/data architecture principles.
Analytical mindset for addressing complex challenges.
Passion for building outstanding teams and creating an environment where individuals can do their best work.
Executive presence and the ability to effectively communicate across varying audiences.
Strong business and commercial acumen.

Skills

Data Warehouse
Analytics Platforms
Master Data Management (MDM)
Integration Platforms
Data Engineering
API Strategy
Cloud Native Data Platform
AI/ML Solutions
Data Governance
Data Quality
Data Security
Data Privacy
Data Compliance
Enterprise Integration
API First Integration Platform
Data Movement
GCP Technologies
BigQuery
Databricks
Business Objects
Tableau
Power BI
MLOps
Data Ops
Data Science
Data Governance Tooling
Data Platform Technologies
Enterprise Data Architecture Principles
Mulesoft
Boomi
Apigee
Google Cloud Platform

Location

Remote

Work Type

Full-time

Experience Level

Senior Director
Greater than 15 years of experience in Technology roles
Greater than 10 years of people management experience
At least 5 years demonstrated leadership experience

Education Level

Bachelor’s degree

Benefits

Click here to learn about the benefits and perks we offer at YETI.

About the Company

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary.
When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side.
Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures.
We are BUILT FOR THE WILD™.

Equal Opportunity

YETI is proud to be an Equal Opportunity Employer.
Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees.
We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD.
Find out more about our commitment to DE&I at yeti.com/esg.html.
All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
YETI Applicant Privacy Notice
YETI welcomes and encourages applications from people with disabilities.
Accommodations are available upon request for candidates taking part in all aspects of the selection process.
If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com.