Chief Marketing Officer Resume MIAMI, FL - Hire IT People

SUMMARY

Analytic expert with 25+ years of experience designing, developing and implementing reporting and analytic solutions. Worked for SAS Institute directly for 13 years
Collaborative Project Director with extensive experience working with executives and leading analytic teams on large scale projects
Experience with professional development programs such as: Krauthammer, presenting for success, effective presentations, effective meetings, effective negotiations, basic principles, diversity training, facilitative leadership. Trained in solution selling, customer centric selling, and value based selling.
Published the book “Understanding the Predictive Analytics Life Cycle”. Wiley and SAS Business Series.

PROFESSIONAL EXPERIENCE

Confidential, MIAMI, FL

Chief Marketing Officer

Responsibilities:

Rejoined firm reporting to the CEO to lead team assessments on analytic solutions from scope definition through to execution and implementation
Understand business needs, create business cases, strategies and prepare models for data governance
Provide hands on leadership to the daily operations for data processing and data quality management
Make recommendations for the improvement of processes and technology for predictive analytics
Interface with business users and data architects to translate user requirements into data requirements
Work with Information Technology on projects relating to formulating and analyzing core data

Confidential, FORT LAUDERDALE, FL director, ANALYTICS

Responsibilities:

Worked on CMS Star Rating performance and HEDIS measures. Developed analytics architecture and advanced analytic models for reporting on healthcare analytic measures trends and especially factors that impact the ability of healthcare plans run more efficiently. Effort centered around leveraging technology, improving processes, and assessing, designing and implementing effective healthcare analytics systems
EMIDS - - Researched analytic efforts and governance at the top Health Plans, Employers, ACO/Care Management, Pharmacy Benefit Managers, Life Sciences, and Medicare/Medicaid organizations

Confidential director

Responsibilities:

Reporting to the Sr. Vice President of Research, promoted to create the SAS Center of Excellence and the SAS Alliance Lab to guide 200 programmers and test the latest software analytic tools for big data
Participated in the design of High Performance Analytic architectures for State proposals using Oracle Exadata Database Machine, the Infiniband network, the Exalogic Appliance, and the SAS Fraud Framework. Provided onsite technical support and helped won two large scale big data DHHS State projects of 75 to 400 TB each, supporting 4,000+ users. Systems will be used to develop analytical models (primarily forecast/predictive) using a variety of data sources. Models will help identify trends that lead to improper payments
Developed and enforced new standard operating procedures and guidelines for high-quality statistical programming and architectures
Worked directly with State of North Carolina MMIS executives for FWA project
Provided and coordinated SAS technical product support beyond the initial level, and helped evaluate new analytic products and associated hardware
Validated all analytic implementations with the Data Warehouse group, IT, and consulting services delivery teams; advised analysts on performance and optimization of reporting and analysis software
Provided technical leadership for analytic modeling, solution installation and maintenance, and was the coordination point between top SAS experts, Truven Health’s SAS experts, and clients
Supported reporting and advanced analytic projects company-wide, promoting collaboration and best practices on analytics. Familiar with the Capability Maturity Model Integration (CMMI)
Co-authored and presented paper at the SAS Global Forum on pharmaceutical data visualization. Data from MarketScan database, for one million diabetes patients on protocol adherence to medication, was stored in a Hadoop cluster and visualized with in-memory SAS Visual Analytics
Responsible for producing reliable and trusted information, and for setting and driving high levels of data governance, best practices and customer satisfaction

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