Taka Ariga Email and Phone Number
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As the Chief Data Officer and Director of Enterprise Data and Artificial Intelligence, Taka is responsible for achieving a data-centric vision at the Office of Personnel Management. He leads teams of extraordinary engineers, data scientists, and technology specialists to transform OPM into a premier authority for trusted federal human capital insights and foresights. Taka was previously the first Chief Data Scientist appointed by the Comptroller General of United States. He built the Innovation Lab at the Government Accountability Office and led the development of novel solutions that strengthened GAO’s oversight capacity through data science, AI, and other emerging technology.Taka is a member of the federal Senior Executive Services and has over 25 years of consistent track record on delivering technology innovations at scale by combining data science with technology competencies. He is passionate about developing digital-ready workforce with data-driven mindset to address complex policy, regulatory, risk, legislative, and operational challenges.He is natively fluent in both Japanese and Mandarin Chinese. In his spare time, Taka is also a serious classical chamber musician and a competitive tennis player.
U.S. Office Of Personnel Management (Opm)
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Acting Chief Artificial Intelligence OfficerU.S. Office Of Personnel Management (Opm) Oct 2024 - PresentWashington, Dc, Us -
Chief Data Officer And Director Of Enterprise Data And Artificial IntelligenceU.S. Office Of Personnel Management (Opm) Sep 2024 - PresentWashington, Dc, Us -
MemberFederal Chief Data Officers Council Sep 2024 - PresentWashington, District Of Columbia, Us -
Chief Data Scientist And Director Of Innovation LabUs Government Accountability Office Oct 2019 - Sep 2024Washington, Dc, UsTaka was the first Chief Data Scientist and the Director of Innovation Lab appointed by the Comptroller General of the United States for the Government Accountability Office. He was responsible for driving adoption of emerging technologies (AI, blockchains, and other cyber-physical systems) to transform and strengthen GAO's oversight capacity. He was also the lead author of GAO's AI Accountability Framework (https://www.gao.gov/products/gao-21-519sp), a blueprint for evidence-based oversight of AI implementations. -
Assurance Services Executive Committee Ai Working GroupAicpa Apr 2024 - Aug 2024Durham, Nc, Us -
Technology Innovation Alliance Working Group MemberPublic Company Accounting Oversight Board (Pcaob) Nov 2022 - Aug 2024Washington, Dc, Us -
Member Board Of DirectorsCapitol Hill Arts Workshop Aug 2021 - Feb 2022Washington, Dc, Us -
Global Ethics And Compliance Principal Data ScientistAlbemarle Corporation Jun 2019 - Sep 2019Charlotte, Nc, Us -
Chief Data ScientistBooz Allen Hamilton Dec 2017 - Apr 2019Mclean, Va, Us -
Senior Manager - Forensic Data AnalyticsEy Sep 2012 - Dec 2017London, Gb -
Senior Manager - Analytics & Forensic TechnologyDeloitte Financial Advisory Services Llp Aug 2006 - Sep 2012Worldwide, Oo -
Senior Systems EngineerElectronic Data Systems Oct 2005 - Jul 2006West Hartford, Us -
ConsultantCaci Jun 2000 - Sep 2005Reston, Virginia, Us
Taka Ariga Skills
Taka Ariga Education Details
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School Of Public Affairs, American UniversityKey Executive Certificate Program -
Indiana University - Kelley School Of BusinessBusiness Analytic Certificate -
The Johns Hopkins UniversityComputer Engineering
Frequently Asked Questions about Taka Ariga
What company does Taka Ariga work for?
Taka Ariga works for U.s. Office Of Personnel Management (Opm)
What is Taka Ariga's role at the current company?
Taka Ariga's current role is Chief Data Officer | Chief AI Officer | Technologist | Board Member.
What is Taka Ariga's email address?
Taka Ariga's email address is ta****@****hoo.com
What schools did Taka Ariga attend?
Taka Ariga attended School Of Public Affairs, American University, Indiana University - Kelley School Of Business, The Johns Hopkins University.
What skills is Taka Ariga known for?
Taka Ariga has skills like Analytics, Forensic Analysis, Data Analysis, Data Mining, Fraud, Management Consulting, Business Process Improvement, Enterprise Risk Management, Data Analytics, Business Intelligence, Internal Audit, Fraud Detection.
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