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Data Technology Execution Program Manager Jobs

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Technical Architect (WMS)
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Poland , Warsaw
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Blue Yonder
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Liq - Qa Test Engineer
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India , Chennai; Pune
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United States , Bristol
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Software Eng Lead Analyst
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Citi
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Associate User Experience (UX) Designer
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India , Bengaluru
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Associate User Experience (UX) Designer
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Consultant - SAP ABAP HANA
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YASH TECHNOLOGIES CONSULTING INC.
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Senior Cloud Scale Test Engineer
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United States , San Jose
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155500.00 - 315000.00 USD / Year
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Hewlett Packard Enterprise
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Corporate Communications Associate
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61000.00 - 91000.00 USD / Year
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Cloud Security Assessor
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United States , Ft. Meade
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131000.00 - 155000.00 USD / Year
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Account Executive Advertisers
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Spain , Madrid
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Awin Global
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Director of Operational Transformation
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United States , Portsmouth
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Bottomline
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Partner Sales Manager
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Aiven Deutschland GmbH
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Abercrombie & Fitch Co.
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Director of Digital Demand
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India
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Egnyte
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Cloud Security Assessor
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Senior Cloud Scale Test Engineer
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Senior Cloud Developer
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Application Architect - Risk Technology
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Citi
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Explore a world of opportunity in Data Technology Execution Program Manager jobs, a critical leadership nexus where data strategy, technology implementation, and business objectives converge. Professionals in this high-impact role are the master architects and conductors of complex, data-centric technology initiatives. They do not merely manage single projects; they govern entire portfolios or programs, ensuring that the strategic vision for an organization's data infrastructure is translated into tangible, operational reality. This position sits at the intersection of business leadership, IT teams, and data science units, requiring a unique blend of deep technical understanding and exceptional managerial acumen. A Data Technology Execution Program Manager is fundamentally responsible for bridging the gap between high-level strategy and on-the-ground execution. Their typical day involves orchestrating multiple teams, often through other managers, to deliver programs that may encompass data warehousing, advanced analytics platforms, data governance frameworks, or AI and machine learning pipelines. Common responsibilities include defining program scope, establishing key performance indicators, and creating robust tracking and communication mechanisms to keep all stakeholders, including senior leadership, informed. They are accountable for the end-to-end success of their programs, which includes rigorous budgeting, resource planning, risk assessment, and timeline management. A significant part of their role involves negotiating for resources, influencing cross-functional partners, and removing impediments that could derail critical data technology initiatives. The typical skill set for this profession is both broad and deep. A thorough understanding of data architecture, data governance principles, and modern technology stacks is a fundamental requirement. However, technical knowledge must be paired with superior leadership skills, including the ability to manage large teams, mentor other managers, and make decisive personnel decisions. Excellent communication and negotiation skills are paramount, as these professionals must articulate complex technical concepts to non-technical executives and align diverse teams toward a common goal. They must possess a strategic mindset, with the ability to understand industry trends, competitive landscapes, and how data technology directly contributes to commercial success. Typical requirements for these senior roles often include 10-15 years of progressive experience in technology, with a substantial portion dedicated to data-focused initiatives and people management. A bachelor's degree in computer science, information systems, or a related field is common, with many professionals also holding a master's degree or an MBA to bolster their business leadership capabilities. If you are a strategic thinker with a passion for harnessing the power of data and leading large-scale technological change, exploring Data Technology Execution Program Manager jobs could be the next pivotal step in your career. This is a profession dedicated to turning data potential into competitive advantage.

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