• Spearhead Data Engineering and Data Management efforts in support of new retailer network that addresses the decline in physical retail. Liaise with data science and product teams to build next generation Venue and Retailer data products.• Oversee the design, engineering and rollout of stand-alone micro-services that can be consumed internally and externally (from the outside world). These include Identity Resolution and a bi-lateral retailer product taxonomy. How do you accomplish this?• Govern the design, engineering and rollout of 4 data products. These include a Personalization product, a Recommendations Product, a Shopper Profile Product and a Shopper Predict product. • Submit provisional patents related to the above within the US and Canada.• Function as executive stakeholder for EU and US based data privacy controls (GDPR).KEY ACHIEVEMENTS• Constructed several capabilities that “digitize” the physical shopping experience and combine it with the online experience of the same customer. This capability, known as the “Everywhere I Shop Profile” (EWISP™), enables a differentiated experience for all customers through machine learned insights and recommendations. The platform resides within the cloud and is composed of a scalable Big Data execution architecture that supports high volume ingestion, near real-time machine learning execution, and delivery mechanisms through a common portal or through real-time APIs. The technology is built on an open-source stack within a cloud provider.

• Steered data related efforts to support Technology Platforms, Engineering, Governance and Second/Third Party Data Acquisition for shopper focused retail operations. Key constituent supported was data science and product teams to build next generation monetizable physical shopper experiences. • Cooperated with leading IoT (Internet of Things) companies to deploy GeoTracking and GeoSensing technologies in large 1M sq.ft. venue spaces.• Introduced a shopper-focused machine learning platform leveraging open source technologies.• Facilitated a change to existing omni-channel strategy leading to a new framework to support real-time marketplace between Retailers, Brands and Shoppers.• Performed as executive stakeholder for new Data Governance program designed to support sales channels (CRM & MDM).• Served as owner for all Business Intelligence dashboards.

• Drove an organizational effort for a year over year transformation with the retail banking functions to allow a customer-focused front, middle, and back-office operation. Aligned with business partners to execute efficient use cases to facilitate enhanced customer relations and satisfaction, profit generation, and operational stability. • Utilized focus, attention to detail, and reliability to optimize the BAC Retail Bank through an active omni-channel application of customer behaviors and cutting-edge analytics to support marketing, operations, and digital banking. • Filed 4 pending patent applications based on the initiative: High Ingestion Event Framework (Patent# 014033-002528), Data Collection Process (Patent# 014033-002529), MicroServices/Widgets (Patent# 014033-02530), and Light Analytics Framework (Patent# 014033-002531).• Administered and applied dynamic open source technologies (NoSQL, Pub/Sub, Streaming and Hadoop) to manifest a cost reduction of $3.2M in TCOA. • Guided a united group of stakeholders (DBA, business analysts, PMO Team, infrastructure engineers, application architects, JAVA developers, UI developers, deployment teams, and production support teams) across multiple international locations. • Implemented agile methodologies to compress development lifecycle times by 50%. • Negotiated pricing and fees to reduce vendor expenses by 70%.

• Designed four patented technology protocols to support data governance and regulatory risk: Data Lineage Transformation Analysis (Patent# 20150012478), Data Lineage Role Based Security Tools (Patent# 20150012315), Data Lineage Notification Tools (Patent# 20150012477), and Data Discovery & Analysis Tool (Patent# 20150012314).• Pioneered a first-generation Payments and E-Commerce platform.

• Responsible for execution of Enterprise mandates of data management into the Consumer Bank. By reducing risk, this has freed up >$200MM in capital reserve and mitigated against federal regulation. • Created an internal services organization to support internal businesses in the adoption of policies for working with data and reducing risk by driving a consistent approach to how the enterprise used and represented information. • Developed a top-class technology for movement of the Bank’s information for reporting purposes which provided an increased time to market value proposition and sustainable competitive advantage to the Company. • Led financial planning, development of a chargeback model and resource management for 150 total resources and budget in excess of $20M.

• Responsible for the creation and management of a world-class Data Movement Center of Excellence (COE).• Recruited, developed and managed a team of 22 technologists.• Managed a portfolio of 90 business applications and worked with partners to ensure successful implementation and adoption of the COE services which resulted in a cost savings in excess of $10MM.• Coordinated and led company-wide Proof of Concepts with 25 senior leaders. Expected license costs (capital outlay) in excess of $8MM and expected cost savings in excess of $100MM.• Prepared and delivered executive level presentations to both internal and external audiences.

• Responsible for strategic rollout of an enterprise-wide relationship with Bank of America worth in excess of $10M.• Managed strategic relationship with Bank of America by being key liason between Bank of America executives and Informatica executives.• Provided management coaching & training to senior and middle managers. This helped create adoption of the suite of tools within the organization. • Organized use cases and designed technical rollout programs. Supported client adoption and successfully deployed 22 bank critical applications into production.

• Created a premium, loss and reinsurance exposure system that identified adverse selection by customers. This information, after being shown to senior management, facilitated in decommissioning and exiting of the business in the US Market. • Responsible for management of a technology team and development of an Enterprise Management and Information System (EMIS) to track analytics for Royal and Sun Alliance (a FTSE 100 company).