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Project Manager (Data&AI) Jobs

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Senior Account Executive
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United Kingdom , Home based, UK (with occasional travel to London)
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Cambridge Spark
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AI Product Manager
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Singapore , Singapore
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Hewlett Packard Enterprise
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Intern Business Development
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Germany , Munich
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Westwing Group SE
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Dcommerce content
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Mexico , Mexico City
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Unilever
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Middle Business Analyst
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Inoxoft
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Scrum Master Generative AI
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United Arab Emirates , Abu Dhabi
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NorthBay
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Director, Product Management Credit Risk (Issuing)
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Ireland , Dublin 18
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Mastercard
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Senior Customer Success Manager
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United Kingdom , London
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66300.00 - 78000.00 GBP / Year
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Fullstory
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Associate Managing Consultant, Advisors – Growth Marketing
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Hungary , Budapest
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Mastercard
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Product manager
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Greece , Athens
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Randstad
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Staff Architect, PLM
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United States , San Jose
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Archer Aviation
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GTM Systems Architect
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United States
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152000.00 - 198000.00 USD / Year
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Anaconda
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Associate - Commercial Forecasting
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India , Hyderabad
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Amgen
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Senior Principal, Internal Audit and Advisory
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United States
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188000.00 - 235000.00 USD / Year
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Airbnb
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Graphic Designer Independent Contractor
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United States
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50.00 - 70.00 USD / Hour
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EnergyHub
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GenAI Solution Architect
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United States , Edison
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Bright Vision Technologies
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R&D Scientist/Engineer
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United States , Madison; Alexandria; Seattle
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Applied Research in Acoustics
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Lead Go To Market Systems Engineer
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United States; Canada
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135000.00 - 162000.00 USD / Year
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Apollo GraphQL
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Senior Director of Renewables, Campaigns
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United States
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140000.00 - 155000.00 USD / Year
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Action for the Climate Emergency
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Principal AI/ML & Innovation Engineer
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Puerto Rico , Aguadilla
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Hewlett Packard Enterprise
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Explore the dynamic world of Project Manager (Data & AI) jobs, a critical and rapidly evolving career path at the intersection of cutting-edge technology and strategic business leadership. These professionals are the essential bridge between complex technical teams and business stakeholders, ensuring that data and artificial intelligence initiatives deliver tangible value and achieve strategic objectives. They are responsible for guiding projects from a nascent idea through to successful implementation, navigating the unique challenges presented by data-centric work. A Project Manager in the Data & AI sphere typically oversees the entire project lifecycle. This begins with defining the project scope, objectives, and deliverables in collaboration with both technical teams and business units. They are responsible for creating detailed project plans, managing budgets, allocating resources, and establishing realistic timelines. A core part of their role involves risk management, proactively identifying potential roadblocks related to data quality, model accuracy, or ethical considerations and developing mitigation strategies. They facilitate communication across diverse teams, including data scientists, data engineers, ML engineers, business analysts, and executive sponsors, ensuring everyone is aligned and working towards a common goal. Common responsibilities for professionals in these jobs include managing the development and deployment of machine learning models, data pipelines, and analytics platforms. They oversee data governance and compliance initiatives, ensuring that data is handled securely and ethically, adhering to regulations like GDPR. They also manage projects related to data migration, data warehousing, business intelligence dashboards, and the implementation of AI-driven solutions. Their day-to-day involves tracking progress against key performance indicators (KPIs), managing stakeholder expectations, and reporting on project status, budget, and risks to leadership. Typical skills and requirements for Project Manager (Data & AI) jobs are a blend of strong foundational project management expertise and a solid understanding of data and AI concepts. Most positions require a proven track record in project management, often with certifications like PMP (Project Management Professional) or PRINCE2 being highly desirable. Crucially, they must possess enough technical literacy to understand the work of their teams, including familiarity with data science workflows, machine learning concepts, data architecture, and cloud platforms (like AWS, Azure, or GCP). Strong leadership, exceptional communication, and stakeholder management skills are non-negotiable. They must be adept at problem-solving, be highly organized, and be result-oriented, capable of navigating ambiguity and driving projects to completion in a fast-paced environment. For those seeking a career that combines strategic oversight with technological innovation, Project Manager (Data & AI) jobs offer a challenging and highly rewarding opportunity to shape the future of business.

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