Project/Program Management at Fortive

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Project/Program Management at Fortive. Location Information: India. The incumbent will be responsible for: Plan, execute, and oversee AI/ML projects across their lifecycle, from ideation to deployment. Manage and influence stakeholders, including- business, product, development team members on solution delivery and scope. Serve as the project manager for their delivery teams by enabling the team to self-organize, remove impediments, and nurture an environment for high-performing team dynamics. Work closely and use best practices with the delivery team to support daily standup, backlog refinement, sprint planning, retrospectives, and long-term release planning. Manage project budget and resources efficiently, optimizing workload and resource allocation. Drive improvements in the product development processes to increase product quality, program cycle time, and development costs. Source issues, problems, and ideas from developers and other teams to find solutions for problems. Ensure development programs have robust plans and resource alignment for execution Escalate resource conflicts and drive resolution with engineering leadership. Collaborate with internal and external stakeholders and partner with vendors as required by the program. Track project progress and generate comprehensive reports using reporting tools and dashboards. Drive team accountability and coordinate efforts to meet project milestones Stay up to date on AI and Agile trends and best practices, continuously seeking opportunities to improve processes and team productivity. Manager - Agile and R&D Operations Deliver quality software early and often, better technical practices, eliminate waste, improve lead/cycle time for throughput, and reduce project risks. 4+ years Project Management experience Bachelor's degree in computer science or electrical/ Electronic engineering. Experience with managing scope, schedule, budget and quality of projects. Implementation history of complex engineering release. Solid understanding of both the theory and application of AI/ML concepts, tools, Agile practices, including Scrum, Kanban, SAFe and XP. Analytical, relationship building, problem-solving abilities, and collaboration across team boundaries Excellent verbal and written communications. Good understanding of SW architecture. PMP Certification desired. Scrum Master (CSM), PMI-ACP and (CSP) certification would be an asset. Change agent who is a positive organizational influence. Professional experience within a SaaS organization preferred.