Senior Manager, Digital Quality Engineering - Data Analytics

JOB SUMMARY

The Quality Assurance team within Digital is responsible for the delivery of large, high-impact initiatives, projects, enhancements, and hotfixes/maintenance for branded digital assets on the web, mobile app, and API platforms. The Senior Manager, QE – Data Analytics leads Data needs within the Digital QA organization. Primarily, the role will use business intelligence analytics embedded within the Digital Products to build and maintain a data analytics driven strategy to identify trends and patterns that will guide the Automation and Manual QA testing strategy for maximizing test coverage based on commonly used end-user interactions. In addition, defines, leads, and delivers the Test Data Management strategy and solutions for the QA team’s test data needs.

 

This position manages change throughout the Software Development Lifecycle (SDLC) to address immediate and unexpected needs. The Senior Manager, QE – Data Analytics will manage to the roadmaps for enterprise work, creating robust reporting of initiatives status & strategies, releases and providing key business stakeholders with initiative, release and workflow communication tools for executive management and will work closely with Product Owners, QA disciplines and IT to ensure synergy between Digital and dependent channel teams. This role will communicate with channel partners to ensure alignment, initiative status and exposure of release information. This role manages the workload of others.

 

CANDIDATE PROFILE 

Education and Experience 

• 4-year degree from an accredited university in Computer Sciences, Data Science, Statistics, related field.
• 6+ years’ experience in a Data Science/Analyst role in a Software Quality Engineering environment with experience defining and delivering Use cases, user profiles and Test Data Management strategy for large scale business transformational initiatives.
• Experience constructing data sets to analyze, inform, identify trends, and support Testing and Stakeholder needs.
• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) 
• Experience leading and supporting relevant governance reviews and audits across product squads.
• Experience with software development and management tools like JIRA, CA Agile, Zephyr 
• Subject matter expert for enterprise-wide Data and Use Case Strategy and Development efforts using various tools and technologies.
• Strong analytical skills with experience in data analysis tools (e.g., SQL, Python, etc.).
• Proven hands-on experience in designing and developing large scale test data management strategy User Profile strategy to support multiple product teams for Web, Mobile (iOS and Android) and API products. 
• Proven hands-on experience in implementing best practices using GenRocket, LambdaTest, K2View or similar enterprise TDM tools. 
• Demonstrated ability to deliver results under challenging conditions, particularly when faced with complexity and ambiguity, both from project and technology perspectives. 
• Demonstrated ability to deliver results under challenging conditions, particularly when faced with complexity and ambiguity.
• Proficiency in AI/Gen AI tools and techniques (e.g., machine learning, natural language processing).
• SAFe Agile experience with ability to understand business requirements and derive test strategy with Automation First mindset.
• Must possess excellent communication skills.
• Experience managing a distributed team including FTEs and External Partner resources.

Preferred

• Experience championing Test Data Management and User Profile modeling for Test Driven development, BDD practices to champion test automation, DevOps and TestOps at all levels
• Certification in AI/Gen AI or related technologies
• Knowledge of React, AWS basics, HTML, CSS, JavaScript 
• Knowledge of CI/CD tools like Jenkins, Harness.io, Kafka 
• Experience with virtualized products/services/solutions
• Knowledge of test automation concepts such as keyword and autonomous driven framework.

 

 

CORE WORK ACTIVITIES 

Maintaining Goals

• Consistently work with the business, QE, Product Owners, and Developers to understand testing requirements, defect data collection processes and objectives in order to drive the Test Data Management/Use Case/User Profile [TDM/UC/UP] strategy.
• Optimize the TDM/UC/UP models to maximize the efficiency and quality of Digital’s test strategy in support of Digital revenue and room night goals.
• Utilize GenAI tools and techniques to analyze historical defect data and identify patterns, trends, and insights.
• Use GenAI tools to perform predictive analysis and share real time trends and metrics with QE and stakeho