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You will be the Manager, Data Operations of the Kinesso Audience – Data & Product team, you will oversee the day-to-day management of our Kinesso Audience Solutions (KAS) data warehouse and ensure its integrity, scalability, and efficiency in collaboration with the data engineering team.
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Basic Qualifications:Minimum of 5+ years of product management experience with strong focus on building and delivering successful data products, services and capabilitiesBachelor’s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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You have a Bachelor's Degree in a technical discipline (engineering or science), 5+ years of experience in roles related to Product Management, and have helped build and launch hardware products.
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The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Procurement group, you will be responsible for establishing and executing sourcing strategies and plans for our Cyber Defense & Engineering + Information Technology department.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. In addition, the thermal engineer provides regular Q&A and on-site support to ZT Systems’ manufacturing engineering group as well as technical support for customers.
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Serve as the Technical Product Owner for the Data Governance & Master Data Management (MDM) technical products & implementations. Responsible to build strategic and technical capabilities to enable an end-to-end data governance, data quality, and master data management strategies, including solutions for integrating the data governance and MDM solutions with all consumers & consuming functions/platforms.
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4+ years of data analytics in the field of Business Intelligence or Information Management. Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Reporting directly to the Deputy Commissioner for Support Services, the Assistant Commissioner for Solid Waste Management Engineering will oversee the planning, design, operations, and financial administration of the City’s landfill care program under the jurisdiction of the Department.
$170,000 - $195,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Wealth and Investment Management Technology (WIMT) DevSecOps Engineering Enablement team provides support for Wealth and Investment Management (WIM) line of business applications.
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PREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvement- Experience owning data-centric products.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvote
Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities.
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Minimum 5 years’ experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Minimum 5 years’ experience with Data Modeling, ETL, and Data WarehousingMinimum 3 years’ hands on experience with Azure Services.
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data engineering product management jobs Title: intelligence technical program manager in New York, NY
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