James Lee, Csm Email & Phone Number
@cox.net
3 phones found area 563 and 952
LinkedIn matched
Who is James Lee, Csm? Overview
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James Lee, Csm is listed as Director Of Analytics and Data Science at Data Recognition Corporation, a company with 1801 employees, based in Greater Minneapolis-St. Paul Area, United States, United States. AeroLeads shows a work email signal at cox.net, phone signal with area code 563, 952, and a matched LinkedIn profile for James Lee, Csm.
James Lee, Csm previously worked as Director Of Analytics & Data Science at Data Recognition Corporation and Director Business Intelligence, Enterprise at Protolabs. James Lee, Csm holds M.S., Computer Science from University Of Iowa.
Email format at Data Recognition Corporation
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AeroLeads found 1 current-domain work email signal for James Lee, Csm. Compare company email patterns before reaching out.
About James Lee, Csm
A results-focused IT Director and business partner with a deep background in scaling corporate analytics and successful enterprise system implementations. Contact jcluser@gmail.com.As the Director of Analytics and Data Science at Data Recognition Corporation, I lead development of strategic enterprise and cloud-enabled reporting, analytics and AI solutions to enable the Company's growth. As the Director of Enterprise Business Intelligence at ProtoLabs, I led re-engineering of the data warehouse and modernization of the BI platform resulting in improved visibility and actionable insights for decision making and product delivery.Previously as the Director of Enterprise Analytics at Seagate, I led large-scale data engineering, pattern recognition and machine learning for users world-wide, improving scale on product performance optimization and factory automation support. As the Manager of Software Engineering for VirtualFund, I led development of a SaaS platform for B2B e-commerce with e-trading communities across multiple industries. Known for leading and implementing data engineering and governance across all aspects of company operations. Broad experiences leading high-performing teams thru front to back full-stack software engineering solutions spanning Linux, Microsoft, Amazon, Oracle, Big Data MPP, and AWS/Azure/Google/Cloud hybrid computing. Consistently deliver improved data management, business efficiencies, enterprise scalability, time-to-market, time-to-volume, and sustainable growths for the business. Specialties:Digital Transformation ♦ Enterprise Strategy & Governance ♦ Software Engineering ♦ Data Architecture & Warehousing ♦ Data Engineering & Big Data MPP ♦ Master Data Management ♦ Business Intelligence & Advanced Analytics ♦ Pattern Recognition & Machine Learning ♦ Global Service Delivery ♦ Mission Critical Operations Support ♦ Team Leadership ♦ Program Management ♦ SDLC Waterfall & Agile ♦ Vendor Management ♦ Linux, Microsoft, Amazon, Oracle, AWS/Azure/Google/Cloud & Hybrid Computing
Listed skills include Software Engineering, Business Intelligence, Embedded Software, Embedded Systems, and 21 others.
James Lee, Csm's current company
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James Lee, Csm work experience
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Director Of Analytics & Data Science
CurrentResponsible for strategy, architecture and delivery of value-differentiated analytic products and innovations in reporting, data science and insight discovery.Lead teams through design, development and operations of business and mission-critical analytic enterprise and cloud solutions for Company's diverse internal and external client base.
Director Business Intelligence, Enterprise
Responsible for management of enterprise data including architecture, modeling, ingestion, harmonizing, quality, security and delivery of data.Led development team's re-engineering, modernization and service support of company's enterprise data warehouse and BI ground-to-cloud hybrid platform.Delivered data mining/exploratory analysis tools and a.
Director Of Analytics, Enterprise Solutions, Development
Led onshore/offshore multi-disciplinary team of managers, architects, leads, and developers building an innovative, extensible, large-scale data engineering platform with advanced analytic solutions for global product/quality performance management and operational support.Responsible for strategy, project portfolio, architecture, resource planning, key.
Sr Manager, Analysis Systems Engineering
Led team of architects and developers building scalable BI analytic systems and solutions to support company's product integration.Managed projects, system designs, development, and SLA execution targeting business-critical decision support for multi-site users.
Manager, Analysis Data Systems
Led team of developers building BI systems and solutions to support recording head product performance engineering.Managed projects, system designs, development, SLA execution, and service support for dept & site users.
Manager, Software Engineering, Internet Commerce
Led team of developers building company's SaaS platform, B2Bxchange, i.e. a distributed, multi-tier B2B e-commerce framework of outsourced IT solutions for small to medium enterprises, combined with membership access to vertical industry portals as business and trading e-communities. Enhanced web hosting with directory services, personalized news feeds.
Colleagues at Data Recognition Corporation
Other employees you can reach at datarecognitioncorp.com. View company contacts for 1801 employees →
Dan Bellandi
Colleague at Data Recognition CorporationSt Paul, Minnesota, United States, United States
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Shawn Glisson
Colleague at Data Recognition CorporationBurnsville, Minnesota, United States, United States
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Kelton Welch
Colleague at Data Recognition CorporationSt Paul, Minnesota, United States, United States
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Jazmine Smith
Colleague at Data Recognition CorporationOrlando, Florida, United States, United States
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Dylan Childers
Colleague at Data Recognition CorporationJasper, Georgia, United States, United States
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Megan Stanley
Colleague at Data Recognition CorporationLivingston, New Jersey, United States, United States
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Nayana G Hegde
Colleague at Data Recognition CorporationEden Prairie, Minnesota, United States, United States
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Steve Goldberg
Colleague at Data Recognition CorporationHopkins, Minnesota, United States, United States
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Dawn Nelson
Colleague at Data Recognition CorporationMinnetonka, Minnesota, United States, United States
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Eric Essert
Colleague at Data Recognition CorporationSt Joseph, Minnesota, United States, United States
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James Lee, Csm education
M.S., Computer Science
Cum Laude, B.A., Business Administration & Computer Science
Valedictorian, H.S. Diploma
Frequently asked questions about James Lee, Csm
Quick answers generated from the profile data available on this page.
What company does James Lee, Csm work for?
James Lee, Csm works for Data Recognition Corporation.
What is James Lee, Csm's role at Data Recognition Corporation?
James Lee, Csm is listed as Director Of Analytics and Data Science at Data Recognition Corporation.
What is James Lee, Csm's email address?
AeroLeads has found 1 work email signal at @cox.net for James Lee, Csm at Data Recognition Corporation.
What is James Lee, Csm's phone number?
AeroLeads has found 3 phone signal(s) with area code 563, 952 for James Lee, Csm at Data Recognition Corporation.
Where is James Lee, Csm based?
James Lee, Csm is based in Greater Minneapolis-St. Paul Area, United States, United States while working with Data Recognition Corporation.
What companies has James Lee, Csm worked for?
James Lee, Csm has worked for Data Recognition Corporation, Protolabs, Seagate Technology, and Virtualfund.Com.
Who are James Lee, Csm's colleagues at Data Recognition Corporation?
James Lee, Csm's colleagues at Data Recognition Corporation include Dan Bellandi, Shawn Glisson, Kelton Welch, Jazmine Smith, and Dylan Childers.
How can I contact James Lee, Csm?
You can use AeroLeads to view verified contact signals for James Lee, Csm at Data Recognition Corporation, including work email, phone, and LinkedIn data when available.
What schools did James Lee, Csm attend?
James Lee, Csm holds M.S., Computer Science from University Of Iowa.
What skills is James Lee, Csm known for?
James Lee, Csm is listed with skills including Software Engineering, Business Intelligence, Embedded Software, Embedded Systems, C, Enterprise Data Warehousing, Advanced Analytics, and Data Warehousing.
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