VP of Analytic Solutions and Data Engineering
WWE
Stamford, CTThis was removed by the employer on 12/11/2015 2:20:00 PM PST
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Full Time Job
Key Responsibilities:
• Create data infrastructure through proactive engagement of key stakeholders to understand business requirements; work with cross-functional data and technology teams; and build efficient and scalable data solutions
• Drive the strategy to improve automated prospect acquisition, data enrichment, consumer programs and measurement
• Connect disparate analytic and technology teams to implement ''best-in-class'' data tools that support company-wide initiatives and growth
• Partner with VP, Data Analytics to execute data strategy and build multi-year roadmap focusing on improving analytic capabilities
• Streamline business analytics across various platforms by standardizing key metrics and developing dashboards to measure business improvements
• Design, build, optimize, launch and support new and existing data models and processes
• Optimize data processes through continued evaluation and assessment of tools that support WWE's fast-paced environment
• Influence a broader data culture, with the integration of data across all company initiatives for comprehensive business analytics
• Manage data engineering solutions with thousands of data flows, reports, and data visualizations
• Build data expertise and own data quality to effectively manage data warehouse plans for various cross-functional teams
• Oversee and conduct design and code reviews
• Define and manage SLA for all data sets
Qualifications:
• Advanced degree in a technical field (Math, Computer Science, Engineering); or Bachelor's degree with relevant work experience
• Strong data architecture, data modeling, schema design and effective project management skills
• Must have experience developing big data strategies (including selection/implementation of technologies) within a traditional Microsoft/SQL Server database environment
• Extensive hands-on experience within data warehousing/business intelligence (BI)
• Experience within a heavy transactional, large data set environment
• Previous selection and implementation of data visualization tools and best practices
• Experience with building a team in addition to leveraging off-shore resources
• Certified ScrumMaster preferred
• Technologies/skills of interest: SQL Server, Microsoft BI Stack (SSAS, SSRS, SSIS), Hadoop, Tableau, Real-Time Stream Analytics, Machine Learning, Artificial Intelligence, Natural Language Processing (NLP) Multidimensional Modeling/Master Data Modeling (MDM), SAS, Amazon Web Services (AWS)
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WWE is an Equal Opportunity Affirmative Action employer and is subject to federal regulations pertaining to employment. WWE does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. WWE also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws.