Why This Role Stands Out
This hybrid Delivery Manager role at Fint Solutions Inc. offers a dynamic opportunity to lead impactful AI and Data Science initiatives, driving innovation in a reputable tech company. You'll thrive here if you possess strong technical expertise, leadership skills, and a passion for guiding cross-functional teams to deliver cutting-edge solutions.
Quick Overview
Job Description
Position Overview
The Delivery Manager will oversee end-to-end delivery of AI and Data Science initiatives, ensuring projects are executed on time, within scope, and aligned with business objectives. This role requires a blend of technical expertise, project management skills, and stakeholder engagement to drive successful outcomes in advanced analytics, machine learning, and AI solutions.
Key Responsibilities:
- Project Delivery: Lead planning, execution, and delivery of AI and Data Science projects, ensuring adherence to timelines, budgets, and quality standards.
- Stakeholder Management: Collaborate with business leaders, product owners, and technical teams to align project goals with organizational strategy.
- Technical Oversight: Provide guidance on AI/ML model development, data pipelines, and deployment strategies.
- Team Leadership: Manage cross-functional teams of data scientists, engineers, and analysts, fostering collaboration and innovation.
- Risk Management: Identify potential risks, develop mitigation strategies, and ensure compliance with data governance and ethical AI practices.
- Continuous Improvement: Implement best practices in agile delivery, DevOps, and MLOps to enhance efficiency and scalability.
Required Skills & Qualifications:
- Educational Background: Bachelor s/Master s in Computer Science, Data Science, Engineering, or related field.
- Experience: 8+ years in project delivery, with at least 3 years in AI/Data Science domains.
- Technical Knowledge: Strong understanding of ML frameworks (TensorFlow, PyTorch), data platforms (Azure, AWS, Google Cloud Platform), and MLOps practices.
- Leadership Skills: Proven ability to lead diverse teams and manage complex projects.
- Communication: Excellent verbal and written communication skills for engaging technical and non-technical stakeholders.
Preferred Attributes
- Experience with AI product lifecycle from ideation to deployment.
- Familiarity with data governance, privacy regulations, and ethical AI frameworks.
- Certifications in Agile, Scrum, or Project Management.
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