Overview
On Site
60/hr} - 70/hr}
Full Time
Skills
Pivotal
Project management
Effective communication
Project lifecycle management
UPS
Sprint
Planning
Project scoping
Resource allocation
Organizational skills
Accountability
Incident management
Continuous improvement
Stakeholder engagement
User stories
Data flow
Quality assurance
Testing
Collaboration
Change management
Adaptability
Agile coaching
Mentorship
Oracle Linux
Computer science
Information Technology
PMP
PMBOK
Data migration
Data
Decision-making
Analytics
Data engineering
Soft skills
Scrum
Kanban
Agile management
Team management
Leadership
Communication
Negotiations
Management
Agile
Budget
Job Details
Seeking a Senior Technical Project Manager with experience managing Data-related projects from inception to delivery.
This role is slated to be a long-term contract with extensions.
Seeking an experienced Technical Project Manager with a background supporting data projects and proven experience partnering with Product. The Project Manager will play a pivotal role in leading and executing complex technical projects, ensuring their successful delivery within scope, schedule, and budget. This role requires a deep understanding of Agile principles, exceptional project management skills, leadership capabilities, and effective communication to collaborate with cross-functional teams and stakeholders. Day to day involvement in designing, building, and maintaining data pipelines, systems, and platforms that enable data-driven decision making and analytics. As a data engineering project manager, you need to have a combination of technical, business, and soft skills to ensure the success of your project.
Responsibilities:
Qualifications:
This role is slated to be a long-term contract with extensions.
Seeking an experienced Technical Project Manager with a background supporting data projects and proven experience partnering with Product. The Project Manager will play a pivotal role in leading and executing complex technical projects, ensuring their successful delivery within scope, schedule, and budget. This role requires a deep understanding of Agile principles, exceptional project management skills, leadership capabilities, and effective communication to collaborate with cross-functional teams and stakeholders. Day to day involvement in designing, building, and maintaining data pipelines, systems, and platforms that enable data-driven decision making and analytics. As a data engineering project manager, you need to have a combination of technical, business, and soft skills to ensure the success of your project.
Responsibilities:
- Agile Leadership: Champion Agile principles and practices throughout the project lifecycle. Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives. Guide the team in adopting and adhering to Agile methodologies.
- Scope and Iteration Management: Define project scope, objectives, and deliverables in collaboration with stakeholders, breaking them down into manageable iterations. Develop and maintain a well-defined product backlog and ensure Timely delivery of prioritized features
- Resource Allocation: Identify and allocate necessary resources, both internal and external, required for project success. Foster a collaborative and self-organizing team environment that encourages ownership and accountability
- Risk and Issue Management: Proactively identify potential risks and issues within the Agile framework. Work closely with the team to address challenges and impediments promptly, fostering a culture of continuous improvement.
- Communication and Stakeholder Engagement: Facilitate open and transparent communication with stakeholders, providing regular project updates, progress reports, and demos. Ensure alignment between project goals, user stories, and business objectives.
- Technical Proficiency: Possess a strong understanding of the technical aspects of the projects being managed within an Agile context and possess an understanding of data flows in an enterprise.
- Quality Assurance: Drive a culture of quality and continuous testing within Agile iterations. Collaborate with the team to ensure the delivery of high-quality, functional increments in each iteration.
- Change Management and Adaptability: Embrace change and uncertainty inherent in Agile projects. Guide the team and stakeholders through iterations, ensuring a smooth transition to new features and updates.
- Agile Coaching and Mentorship: Mentor and guide junior project managers and team members on Agile practices, fostering skill development and Agile maturity.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. (Equivalent experience acceptable).
- PMP, PMI-ACP, Certified ScrumMaster, or other relevant Agile certifications are a plus.
- 5+ years of proven experience as a Technical Project Manager successfully delivering complex technical projects in iterative and incremental cycles.
- Data Focused aptitude and experience
- Develop and maintain relationships with data migration project stakeholders
- Day to day involvement in designing, building, and maintaining data pipelines, systems, and platforms that enable data-driven decision making and analytics. As a data engineering project manager, you need to have a combination of technical, business, and soft skills to ensure the success of your project.
- Understanding of Agile principles, values, and frameworks (Scrum, Kanban, etc.).
- Proficiency in Agile project management tools and software.
- Exceptional leadership, team management, and servant leadership skills.
- Excellent communication, negotiation, and interpersonal abilities.
- Track record of effectively managing Agile project budgets, resources, risks, and timelines.
- Ability to thrive in a fast-paced, collaborative environment and adapt to changing priorities
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