Joel Hines Email & Phone Number

Columbus, Ohio, Us

➥ Recruited to help guide the company through the cloud journey, modernization of legacy platforms, and automation of high-volume repeatable tasks. Leverage Azure Databricks, Azure Machine Learning, Azure Cognitive Services, Dataiku, Snowflake, DataRobot, UiPath Robotic Process Automation, Azure and AWS.➥ Leveraged expertise with Artificial Intelligence, Machine Learning, Deep Learning, Decision Management, and Robotics Process Automation to build cloud-based solutions for multimillion-dollar Loyalty Modernization program, Transformative Analytics program, and multiple Robotic Process Automation initiatives.➥ Served as the Primary Architect for the Transformative Analytics program to enhance the capability of Data Scientists and Data Engineers to create data models, data pipelines, and predictive models. Defined the architecture for new Azure Data Lake and Data Science Toolkit to support massive amount of structure and unstructured loyalty, financial, and card processing data that have enabled the Analytics and Data Science teams to rapidly deliver high-quality solutions and insights focused on improving profitability while reducing risk.➥ Architected various automation capabilities leveraging Robotic Process Automation, Speech Analytics, Natural Language Processing, and Natural Language Generation that deflected more than 1 million human hours within 3 years through the automation of business processes and decisioning services across the enterprise.➥ Held role as Solutions Architect to replace an on-premises batch-oriented legacy Loyalty and Marketing program with a real-time cloud-capable platform to increase competitive advantage and enable the implementation of clients’ loyalty programs. Designed modern cloud API-driven platform to provide real-time transaction capabilities and enable customization.

Armonk, New York, Ny, Us

➥ Chosen to introduce, advocate value, and guide the adoption of Watson cognitive business solutions by Fortune 500 clients. Conducted workshops, designed proofs-of-concept, and implemented solutions on the Cloud Foundry Platform as a Service (PaaS).➥ Provided the architectural expertise for the build-out of a SaaS-based Advanced Analytics / Big Data Healthcare solution. Fueled data analytics and business and clinical intelligence to support value-based care and population health management, leveraging Python, Ruby, Kafka, Hortonworks, Docker, and Kubernetes.➥ Architected and built an Advanced Analytics / Cognitive solution for a large media and enterprise company to drive the identification of new prospects; grow sales and margins; and maximize conversion rates leveraging Elastic Search, Watson Explorer, Watson Content Analytics, HTML5, CSS3, jQuery, D3, Dojo, Java, JEE, and DB2 technologies.➥ Designed a Predictive Maintenance & Quality Analytics proof of concept to enable largest steel producer in the United States to identify and mitigate quality issues across the manufacturing lifecycle leveraging Watson IoT, SPSS Modeler, PureData Systems for Analytics, Integration Bus, Cast Iron, and DashDB technologies.

Armonk, New York, Ny, Us

➥ Chosen to design, deliver, and lead an innovative program for large media and entertainment company. Drove the design out of Proof-of-Concepts leveraging SPSS Modeler, PureData Systems for Analytics, SAS, Teradata, and Cloudera technologies to enable client to increase revenue generation and improve customer experience. ➥ Led the architectural design of 2 Predictive Analytics Proof-of-Concepts forecasted to realize more than $200M in business value by growing subscriber base, improving programming decisions, increasing sales, strengthening personalized communications, and enhancing service reliability. ➥ Contributed to building insights to monetize viewership, achieving $140M in revenue and $10M in savings. Recommended the build-out of viewership recommendation engine model based on watch content, weather conditions, and social buzz to enhance upsell opportunities, improve customer experience, reduce call volume and complaints, increase accuracy of churn model, and strengthen buy rates.➥ Oversaw the design of the Service Reliability Improvement insights forecasted to achieve $34M in savings by proactively replacing set top boxes, creating a customer-level data scorecard for customer service, and reducing overheating events and signal events.

Us

➥ Recruited into new Integration Architect role to design framework to integrate 6 disparate systems in response to acquisitions within the Property & Casualty (P&C) business. Following success, chosen to lead the creation and adoption of the Enterprise Decision Management Practice.➥ Instrumental in the creation and adoption of the Enterprise Decision Management Practice and strategy that resulted in an ROI of $15M by increasing business agility to regulatory requirements, internal policies, and underwriting guidelines.➥ Served as Lead Architect for the build-out of a Decision Management System for underwriting that improved operational efficiency by 20%-30%, reduced error rates by 15%-35%, and minimized fraud by 20%-30%, leveraging the IBM Operational Decision Management Platform.➥ Partnered with Infrastructure team to define the Private Cloud strategy. Contributed to evaluating the effectiveness of ODM Hypervisor Edition on Workload Deployer and PureApplication System with SmartCloud Orchestrator.

In

➥ Drove the build-out of a data mart and OLAP reporting framework for Qwest client that integrated key business drivers from 14 sources for advanced analytics.➥ Brought in to guide the architectural design and on-time delivery of technology solutions to clients. Led cross-functional teams of up to 30, and projects valued up to $30 million.➥ Pivotal role in defining architecture for the delivery of web-based Employee Tax Tracking system to Ohio Department of Job and Family Services.➥ Chosen as Senior Technical Architect and Principal Director for the creation of next generation of Covansys’ retirement product, Clarety.➥ Team member of 3 charged with evaluating and recommending framework to deliver an n-tiered, web-based Retirement Pension system to allow Oregon Public Retirement System to provide self-service capability.➥ Managed all efforts to develop the overall architecture for rollout of a fully integrated document management, workflow, and work collaboration system to Qwest’s sales staff.

New York, New York, Us

➥ Drove the architectural design, development, and launch of Chapter 7 and Chapter 13 bankruptcy account management systems, accounting for 90% of overall revenue.➥ Championed the introduction of client-server technologies into the environment; negotiated favorable agreements with Powerbuilder and Oracle vendors, delivering Chapter 13 system at minimal cost.➥ Spearheaded the design of Chapter 13 bankruptcy account management system from AS/400 to client-server framework, utilizing Powerbuilder and Oracle RDBMS technologies.