Setting vision, strategy, and long-term roadmap for the analytics and the product and technology teams for Banking and Financial Services customers.Spearheaded several large analytics transformation projects as Program Manager in partnership with business stakeholdersDevelop data driven products and services portfolio for Insurance brokerage customersDevelop and coordinate data management programs that span data quality initiatives, metadata management, master data management, as well as the creation of data governance processesAchieve key revenue targets and team goals.Implement large scale enterprise wide Data Governance programs.

Partner with Clients from diverse domains to execute Data Driven transformation initiatives Advise clients in optimizing technology , people and process investments.Implement Solutions in :* Machine Learning - Predictive Modeling* IBM Watson Cognitive AI - Logistics | Supply Chain | Chemical Industry | HR* Cloud Technologies - Roadmaps to Cloud Based DataWarehouses* Data Engineering* Data Products* Analytics Roadmaps

Act as a trusted advisor to our clients for Ironside’s suite of Analytics products and services. Take responsibility and ownership of the client relationship, and look to actively develop deep linkages with key personnel, and deliver service that is personalized, high quality, and strongly valued by the client. Act as a thought engagement management, solution crafting, mentoring, customer analytics, industry knowledge, and overall business value.Supporting sales process to ensure project is positioned for success through sales and marketing plans and continuous interactions with the sales team to drive expansion and growth for the consulting practice.

Provide strategic and executive leadership for a global analytics program that enables to accelerate the speed and accuracy of risk based decisions. Establish a Predictive Modeling Center-of-Excellence focused on placement and claims-based models grounded in sophisticated analysis of market movements and loss drivers.Create simulation models for on historical loss data – severity and frequency of claims - to generate a distribution oflosses for a particular year. The models drive the client advice on risk management.• Lead the design and architecture of the new SAS ecosystem tailored to current modeling needs.• Establish a road map for the predictive analytics practice.• Lead the UX team for customized visualizations for detailed risk assessments.• Lead the IT Controls and IT Quality and Performance programs• Help establish an onshore/offshore model support structure for global base of 50+ risk analysts.

Lead the implementation, enhancement and application of planning, optimization and business intelligence systems to enable and support WWL decision makers as well as improve and optimize business processes.Define and drive the systems strategy and roadmap for the analytics portfolio in support of WWL’s long term strategy and business plans.

Hands-on data warehouse technology lead for an international insurance provider building 4 Terabyte enterprise institutional data warehouse (IDW) providing in depth analytical tools to analyze profitability, growth, risk factors and compliance needs.

Assessed Business Intelligence and information management requirements for a Boston PD in support of their ‘Research and Evaluation’ program. Evaluated the capabilities of the leading commercial tools and technologies; prepared IT strategy recommendations including the acquisition and implementation of the appropriate technology and implementation consulting services with one, three, and five year horizons.

Developed C++ and Delphi components for a law enforcement records management system designed specifically to meet the needs of the public law enforcement agencies. The system tracks activity from the point of call through clearance, and addresses the investigative by to cross-referencing the information collected through field Interviews and investigations

Interfaces development in VC++ to generate cellular phone customer invoices using call tracing data. Algorithms created were used for billing operations for a major European telecom company to generate smart invoices.