Job Title - Technology Project Manager - Data Science Evaluation Project
Job Location -Remote - West Coast candidates are highy prefferd
Duration -6 Months+
Visa- Any Visa
Mode Of Interview – Phone/Skype
Note -Need LinkedIn
Job Description –
Title: Technology Project Manager - Data Science Evaluation Project
This is a multifaceted role that encompasses project management, data science understanding, and technical expertise.
Key Responsibilities
Project Planning and Management: Develop and manage a detailed project schedule and work plan. Run Standups and manage a Kanban board for a team of several engineers. Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
Team Leadership and Coordination: Lead, coordinate, and support internal teams and external partners. Ensure resources and team members are aligned to meet project deadlines and objectives.
Data Science Understanding: Possess a strong understanding of data science concepts to effectively communicate with data scientists and understand project needs. Facilitate the integration of data science methodologies and tools into the project.
Technical Expertise: Oversee and guide the technological aspects of the project. Ensure the project aligns with the latest technological trends and data science best practices.
Budgeting and Resource Allocation: Manage project finances, including budgeting and resource allocation. Monitor and report on financial performance of the project.
Stakeholder Engagement: Maintain relationships with stakeholders, including clients, management, and team members. Regularly update them on project status and take feedback to incorporate into project planning.
Risk Management: Identify and mitigate potential risks throughout the project lifecycle. Implement risk management strategies to minimize project delays and cost overruns.
Quality Assurance: Ensure the project’s deliverables meet quality standards and client expectations. Implement continuous improvement practices throughout the project lifecycle.
Documentation and Reporting: Maintain comprehensive project documentation, reports, and plans. Ensure all project documents are complete, current, and stored appropriately.
Compliance and Standards: Adhere to and enforce all applicable laws, regulations, policies, and standards relevant to data science and technology projects.
Ability to speak to and engage in a highly effective way with users/customers who are data scientists, health researchers
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Project Management and Information Technology
Industries
Staffing and Recruiting
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