Senior Technical Software Delivery Manager (PaaS)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Technical Software Delivery Manager (PaaS): Driving strategic software delivery initiatives and end-to-end Platform as a Service (PaaS) delivery with an accent on release management operations and agile methodologies. Focus on managing complex dependencies across multiple technology teams and implementing risk mitigation strategies to ensure on-time delivery.
Location: Remote (United States)
Salary: $114,800 – $180,400
Company
is a leading global analytics software company helping businesses in 100+ countries make better decisions using big data and AI.
What you will do
- Oversee the end-to-end product delivery lifecycle and release management operations for the Product organization.
- Align scope and release planning with strategic business objectives in a senior leadership capacity.
- Drive teams toward quality and on-time delivery using agile standards and company-defined best practices.
- Proactively identify and develop mitigation strategies for risks and dependencies impacting the product roadmap.
- Establish and monitor KPIs to measure product delivery effectiveness, quality, and overall success.
- Facilitate a culture of continuous learning by conducting regular product retrospectives.
Requirements
- Bachelor’s or Master’s degree in computer science or a related discipline.
- Strong professional background in full lifecycle delivery for PaaS products and operations.
- Experience delivering commercial software utilizing agile processes for public cloud technologies (AWS, Google, Azure).
- Practical understanding of technical product delivery management and agile development lifecycles.
- Proficiency in managing complex dependencies between diverse cross-functional teams.
- Must be based in the United States.
Nice to have
- Internal knowledge of organizational makeup and products.
- Scaled Agile Certification.
Culture & Benefits
- Inclusive culture reflecting core values of ownership, customer delight, and mutual respect.
- Highly competitive compensation, benefits, and rewards programs.
- People-first work environment emphasizing work-life balance and camaraderie.
- Access to employee resource groups and various social events.
- Opportunity to work with cutting-edge technologies in Big Data, AI, and Machine Learning.
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