
1001 - 5000 employees
Founded 1996
đ¤ B2B
B2B ⢠Data Analytics ⢠Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
đ December 17, 2025
đşđ¸ United States â Remote
â° Full Time
đ Senior
đˇââď¸ Project Manager
đŚ H1B Visa Sponsor
đŁď¸đ§đˇđľđš Portuguese Required
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1001 - 5000 employees
Founded 1996
đ¤ B2B
B2B ⢠Data Analytics ⢠Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
⢠Full lifecycle management of Analytics and AI projects, from conception and planning through execution and monitoring to final delivery. ⢠Define scope, schedule, budget, and KPIs, ensuring projects meet quality requirements and deadlines. ⢠Lead multidisciplinary teams (data engineers, data scientists, developers, AI specialists), fostering collaboration and high performance. ⢠Manage risks and changes, anticipating impacts and proposing effective mitigation plans. ⢠Act as a strategic bridge between business and technology, translating needs into data- and AI-driven solutions. ⢠Ensure governance and compliance, including LGPD (Brazilian data protection law) and ethical principles for the use of data and algorithms. ⢠Oversee implementation of Machine Learning models and AI solutions, ensuring scalability, security, and integration with existing systems. ⢠Promote continuous innovation by identifying opportunities to apply AI and Analytics to critical processes and new products. ⢠Monitor market trends and best practices to incorporate emerging technologies and agile/hybrid methodologies. ⢠Manage stakeholder communication, preparing executive reports and presentations for strategic audiences.
⢠Proven experience (8+ years) managing complex projects, preferably in Analytics, Big Data, and AI. ⢠Advanced knowledge of management methodologies (PMI, Agile, Scrum, Kanban) and PMO tools. ⢠Strong command of Analytics and AI concepts, including predictive modeling, machine learning, data engineering, and visualization. ⢠Ability to translate technical insights into business value, with strategic vision and results orientation. ⢠Excellent leadership, communication, and negotiation skills, with the ability to influence stakeholders at all levels. ⢠Advanced English for communication with global teams.
⢠Flexible work environment ⢠Opportunities for professional development ⢠Diversity and inclusion
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