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By partnering with various stakeholders, including Product Owners, Business Control Managers, and Regulators, you will contribute to the reporting of a comprehensive view of technology risk posture and its impact on the business. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.

JPMorgan Chase & Co

Tech Risk and Controls Lead

Successful experience in roles such as CEO, General Manager, experience bringing new technology products and services to market, Chief Technology Officer (CTO), Chief Innovation Officer, Chief Technologist, Chief Strategist, Head of Innovation Lab. A typical day might look like: University graduate (Masters preferred) with a 10+ years' working experience; working in a senior Sourcing, VM, Procurement or IT Finance role for 5+ years or with 5+ years in other SVM or Procurement area (e.g.

YEAR

Gartner Inc

GE EITL, Executive Partner, AI

Physical and Mental Requirements: The normal performance of duties may require lifting and carrying objects: Objects 1 to 10 pounds are lifted and carried frequently; objects 11 to 25 pounds are lifted and carried occasionally; objects 36 to 50 pounds are seldom lifted or carried and objects over 50 pounds are not to be lifted or carried without assistance. Pay range: $23.10 - $38.12 / hour; employee may be eligible to receive shift differential of 10% for some or all hours worked on second shift and 15% for some or all hours worked on third shift.

HOUR

Quest Diagnostics Inc

Medical Laboratory Technician I

Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain). Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP).

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