Matter and Energy · 5 hours ago
Project Manager – Data and AI Solution
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Responsibilities
Define project scope, objectives, and deliverables in collaboration with stakeholders.
Develop detailed project plans, including timelines, milestones, and resource allocation.
Monitor project progress, manage risks, and ensure timely delivery of project outcomes.
Lead cross-functional teams of data scientists, software engineers, and analysts to achieve project goals.
Foster a collaborative and high-performance team environment, providing guidance and support as needed.
Coordinate and communicate effectively with team members and stakeholders to ensure alignment and transparency.
Oversee the design, development, and deployment of data, AI, and software solutions.
Ensure the implementation of best practices in data management, machine learning, AI, and software engineering.
Collaborate with technical teams to address challenges and optimize solution performance.
Act as the primary point of contact for project stakeholders, providing regular updates and addressing concerns.
Gather and analyze feedback to ensure solutions meet stakeholder needs and expectations.
Facilitate stakeholder engagement throughout the project lifecycle.
Ensure all project deliverables meet quality standards and comply with regulatory requirements.
Implement and monitor processes for data integrity, security, and privacy.
Conduct regular reviews and assessments to identify areas for improvement.
Develop and manage project budgets, ensuring efficient use of resources.
Identify and secure necessary resources, including personnel, technology, and tools.
Monitor expenses and make adjustments to keep projects within budget constraints.
Prepare and lead webinars, briefings, and presentations to stakeholders, clients, and team members.
Develop clear and compelling presentation materials to communicate project progress, findings, and outcomes.
Effectively convey complex technical concepts to a non-technical audience.
Perform relevant job duties as required by specific projects.
Qualification
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Required
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s degree preferred).
Proven experience in managing data, AI, and software engineering projects, with a strong track record of successful delivery.
In-depth knowledge of data management, machine learning, AI technologies, and software engineering principles.
Proficiency in project management methodologies and tools (e.g., Agile, Scrum, MS Project).
Excellent leadership, communication, and interpersonal skills.
Ability to manage multiple projects simultaneously and prioritize tasks effectively.
Strong problem-solving skills and attention to detail.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data engineering tools (e.g., Apache Spark, Hadoop).
Self-starter with a hands-on approach to managing projects and solving problems.
Experience preparing and leading webinars, briefings, and presentations to stakeholders.
Preferred
Certifications in project management (e.g., PMP, PRINCE2) and AI/ML technologies.
Experience with big data technologies and real-time data processing.
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI).
Company
Matter and Energy
As a women-owned, minority-owned company, we pride ourselves on building a community of diversity and empowering women.
Funding
Current Stage
Early StageCompany data provided by crunchbase