Technical Project Manager
2 months ago
Who Are We :
Founded in 2016 and headquartered in New York, Kloud9 is one of the leading technology services and solutions providers specializing in Data Science, Artificial Intelligence (AI) and Machine Learning (ML). At Kloud9, we work closely with our customers across Retail, Consumer Goods, Healthcare & Manufacturing to achieve a satisfying customer experience using modern technologies in AI, ML, Cloud and Automation, that transform Data into action-driven insights. As a leading provider of cutting-edge cloud solutions, Kloud9 empowers businesses to harness the full potential of cloud technology, enabling them to scale, innovate, and thrive in the digital era. With a strong commitment to excellence and a customer-centric approach, Kloud9 is redefining the way organizations leverage the power of the cloud to drive growth and efficiency.
Through our customer-centric approach and relentless commitment to excellence, we have helped numerous organizations achieve remarkable results in their cloud journey. Our success stories highlight the transformative impact of our cloud solutions, including cost savings, increased productivity, improved scalability, and enhanced business agility. With our strong technology expertise, we understand & visualize a new world with an AI-First Approach. Kloud9 is constantly on the lookout for top-tier talent to join us in this exciting journey
Position Summary :
Strong on program and project management, partner with business owners, technical and non-technical stakeholders, and leading cross functional development teams to drive complex program(s) from initiation through delivery in a distributed delivery model. As a Project Manager, you will be responsible for overseeing and coordinating all aspects of projects, including planning, organizing, and controlling project activities. You will collaborate with stakeholders to define project objectives, develop project plans, monitor project progress, and ensure successful project completion.
This role requires excellent communication and leadership skills, as well as the ability to manage resources, resolve conflicts, and meet project deadlines.
Key Responsibilities :
- Project Planning : Develop comprehensive project plans outlining scope, objectives, timelines, resources, and deliverables for Cognitive tool implementation projects.
- Stakeholder Management : Engage with stakeholders at various levels to gather requirements, communicate project progress, manage expectations, and address concerns effectively.
- Resource Allocation : Coordinate resources, both internal and external, to ensure alignment with project requirements and timelines.
- Risk Management : Identify potential risks and issues associated with Cognitive tool implementation projects and develop mitigation strategies to minimize impact and ensure successful project delivery.
- Vendor Management : Collaborate with vendors and third-party service providers to evaluate, select, and implement Cognitive tools that best fit the organization's needs and requirements.
- Quality Assurance : Establish quality standards and protocols to ensure the successful deployment and functionality of Cognitive tools, conducting regular evaluations and reviews to maintain high standards of performance.
- Change Management : Facilitate organizational change by promoting awareness, providing training, and fostering adoption of Cognitive tools among end-users and stakeholders.
- Performance Monitoring : Monitor project progress, track key performance indicators (KPIs), and generate reports to evaluate project success and identify areas for improvement.
- Documentation : Maintain accurate project documentation, including project plans, meeting minutes, status reports, and other relevant artifacts.
- Continuous Improvement : Drive continuous improvement initiatives by capturing lessons learned from previous projects, implementing best practices, and incorporating feedback to enhance project management processes and methodologies.
Skills :
- Overseeing the development and maintenance of data pipelines.
- Collaborating with data scientists and analysts to understand data needs.
- Managing the workload of data engineering teams to meet project deadlines.
- Ensuring data quality and pipeline reliability
- Implementing best practices for data management and engineering
- Experience : 8-10 + Years into Project Management
- Understanding with Agile Principles
- Understanding of Data Pipeline, Data Engineering, GCP Cloud environment
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