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AI & Data Lead Jobs (Remote work)

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Lead Technical Program Manager – AI and Data, People Team
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Lead the AI-First and Data Governance strategy for the People Team in Sydney. Drive large-scale transformations, develop roadmaps, and build a robust data governance framework. Leverage 10+ years of technical program management experience in AI, ML, and automation to empower Atlassian's most impo...
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Australia , Sydney
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Not provided
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Atlassian
Expiration Date
Until further notice
Lead Project Manager - Data & AI
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Lead Project Manager role for Data & AI initiatives, requiring 7+ years of IT Data/Analytics experience. You will manage complex projects using Agile/Waterfall, budgets, and tools like Jira. Enjoy a virtual-first U.S. workplace with strong benefits like 401(k) match and generous PTO.
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United States
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117500.00 - 176300.00 USD / Year
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3Cloud
Expiration Date
Until further notice
Explore the forefront of business innovation with AI & Data Lead jobs. This senior leadership position sits at the critical intersection of technology, strategy, and business transformation. Professionals in this role are the architects of an organization's data-driven future, responsible for defining and executing the vision that turns raw data and artificial intelligence into a core competitive advantage. They move beyond traditional analytics to build and govern a modern data ecosystem that empowers intelligent decision-making at every level. An AI & Data Lead typically shoulders a broad spectrum of strategic and hands-on responsibilities. Their core mandate is to develop and own the overarching AI and data strategy, creating a roadmap that evolves business intelligence into proactive, AI-augmented insights. They act as a trusted advisor to executive leadership, translating complex technical concepts into clear business value and identifying high-impact opportunities for machine learning, automation, and predictive analytics. A key part of their role involves establishing robust data governance, quality frameworks, and security protocols to ensure reliability and compliance. They often lead cross-functional teams, fostering collaboration between business units, data engineering, and data science to deliver end-to-end projects, from prototyping to production deployment of AI solutions like predictive models or intelligent automation workflows. The typical profile for these leadership jobs requires a unique blend of deep technical expertise and strategic business acumen. Candidates generally possess extensive experience in data analytics, data science, or engineering, with proven hands-on skills in cloud platforms, data modeling, and ETL/ELT processes. Proficiency in programming languages like Python or SQL is standard, as is experience with business intelligence tools and modern AI/ML frameworks. However, what truly defines success in these roles is the ability to drive organizational change. This requires exceptional stakeholder management, communication, and the vision to mentor teams and embed a data-centric culture. For those seeking to shape how enterprises leverage their most valuable asset, AI & Data Lead jobs represent a pinnacle career path, offering the chance to lead transformative initiatives that redefine industry standards and fuel sustainable growth.

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