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- Lead Cross-Functional Teams: Oversee and coordinate AI/ML projects, ensuring they align with business objectives and are delivered on time and within budget.
- Develop Program Plans: Create and manage comprehensive program plans, including budgets, timelines, and resource allocation.
- Stakeholder Management: Collaborate with stakeholders, including data scientists, engineers, business analysts, and executives, to define project goals and scope.
- Performance Tracking: Monitor program progress, track performance metrics, and address potential roadblocks.
- Innovation and Strategy: Drive innovation by staying updated with the latest AI/ML trends and integrating them into the program strategy.
Mandatory Skillsets
- 15 years of extensive experience in program management, adept at leading diverse teams and managing complex projects.
- Technical Expertise: Deep understanding of AI/ML technologies, including machine learning algorithms, tools (e.g., TensorFlow, PyTorch), and frameworks.
- Program Management: Proven experience in managing large-scale AI/ML projects, with strong skills in project planning, execution, and delivery.
- Leadership: Strong leadership skills with the ability to lead cross-functional teams and manage multiple projects simultaneously.
- Communication: Excellent communication skills to effectively convey technical concepts to non-technical stakeholders and executives.
- Analytical Skills: Proficiency in quantitative analysis, cost-effectiveness assessment techniques, and data quality metrics for AI products.
- Experience: Approximately 15 years of experience in program management, with a significant portion in AI/ML projects.
Good to Have Skillsets
- Cloud Computing: Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI/ML services.
- Business Acumen: Understanding of business processes and the ability to align AI/ML projects with business goals.
Seniority level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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