6 enterprise data platforms manager jobs at 5 companies in Jeffersonville, IN
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AI Governance, Lead Product Manager
Louisville or Kentucky
HybridFull Time
UPSNYSE: UPS: Global package delivery and supply chain management provider.
3+ YOEBachelor's degree and 3–5 years in AI or data governance, platform product management, risk, or technology strategy; enterprise governance, roadmap, AI lifecycle, and stakeholder leadership experience required.
IBM watsonx.governance, NIST AI RMF, ISO/IEC 42001, EU AI Act, Agile
UPSNYSE: UPS: Global package delivery and supply chain management provider.
Bachelor's degree and experience in AI or data governance, enterprise platforms, automation, product delivery, risk, or related technology roles; requires cross-functional delivery and understanding of AI lifecycle.
IBM watsonx.governance, NIST AI RMF, ISO/IEC 42001, EU AI Act, Agile
Yum! BrandsNYSE: YUM: Global franchisor of iconic restaurant brands.
12+ YOE12+ years in governance, cyber, AI/ML, or technology leadership; experience building enterprise governance programs; strong knowledge of ML, GenAI, data platforms, MLOps, and regulatory/privacy frameworks.
PPL CorporationNYSE: PPL: Energy utility holding providing electricity and natural gas.
15+ YOEBachelor's degree and 15+ years experience in enterprise AI/ML and platform architecture; expertise in Generative AI, LLMs, multi-agent systems, cloud platforms, data governance, and regulated industries.
Dallas or Charlotte or Louisville or Tampa or Fort Lauderdale or Washington or Chicago or Atlanta or New York City or Nashville or Boston
$172k-$237k/yrRemoteFull Time
HumanaNYSE: HUM: Health insurance and care services provider.
10+ MgmtRequires 10+ years of engineering leadership, AI-assisted transformation, enterprise integration and interoperability, modern cloud data platforms, multi-vendor delivery, and executive-level communication.
Yum! BrandsNYSE: YUM: Global franchisor of iconic restaurant brands.
12+ YOE12+ years in governance, cyber, AI/ML or technology leadership; experience building enterprise governance programs; strong understanding of ML, GenAI, data platforms and MLOps; familiarity with regulatory and data privacy frameworks; executive influence.