Define enterprise data architecture to meet overall needs of business and set technical vision for data architecture
Assess and determine governance, stewardship, and frameworks for managing data across the organization
Create and implement analytics roadmap to build long-term excellence in advanced analytics (e.g., machine learning, predictive analytics)
Develops analysis models using statistical analysis tools, data mining, and other tools
Maintain business information model and data flow architecture
Present insights and recommendations to senior business stakeholders
Understand drivers for performance trends across the business through research and analysis
Apply expertise in quantitative analysis and data mining; presentation of data with a focus on actionable analytics
Evaluate and identify specifications, best practices, integration and proper use of emerging technology as they relate to overall data architecture
Requirements:
Minimum of 5 years of data management systems, data warehousing methodology, data quality, data modeling, data governance, analytics and predictive modeling
Extensive background and expertise in developing and managing data technologies, technical operations, and related tools and technologies
Expert knowledge of data modeling and understanding of different data structures
Strong background in advanced statistical and data science, as well as management of business-focused analytics teams
Experience with at least one statistical software solution (e.g., SAS)
Ability to conceptualize and deliver a strategic agenda for building analytics capabilities
Knowledge of SQL, JavaScript, HTML
Excellent problem solving, critical thinking, and communication skills
Demonstrated experience with agile or other rapid development methods