Manager, AI Program
DP World · Charlotte, NC · 2 wk ago
On-siteProject ManagementFull-time
Key Accountabilities
- Manage end-to-end AI programs, from opportunity identification to production deployment and scaling
- Translate strategic objectives into a structured AI roadmap with clear milestones, budgets, and success metrics
- Prioritize AI use cases based on feasibility, impact, risk, and ROI
- Manage program budgets, resources, timelines, and dependencies
- Cross-functional Leadership
- Coordinate across Data Science, Engineering, IT, Security, Legal, Risk, Operations, and Business Units
- Serve as the primary point of accountability for AI program delivery
- AI DELIVERY & LIFECYCLE MANAGEMENT
- Support governance, milestones, budget discipline, and executive reporting
- Ensure AI initiatives move through defined lifecycle stages in coordination with Data & AI and domain Technology teams
- Value tracking, transformation alignment, and benefit realization
- RESPONSIBLE AI & RISK MANAGEMENT
- Ensure AI programs adhere to ethical standards, regulatory requirements, and internal governance policies
- Support integration of model risk management, bias mitigation, explainability, and auditability into program design
- Partner with Risk and Compliance to proactively address AI-related risks
- VALUE REALIZATION & PERFORMANCE TRACKING
- Track KPIs for AI initiatives aligned to business outcomes (efficiency, cost savings, revenue growth, risk reduction)
- Monitor and report program performance to executive leadership
- Identify continuous improvement opportunities and optimization of AI solutions
- CHANGE MANAGEMENT & ADOPTION
- Manage stakeholder engagement and communications to drive AI adoption
- Develop training and enablement strategies to embed AI capabilities into operations
- Foster a culture of data-driven decision-making and innovation
- Bachelor’s degree in Business, Technology, Computer Science, Data Science, or related field
- 5-7 years of experience in program or project management within technology-driven environments
- Experience leading data, analytics, AI, or digital transformation initiatives
- Strong understanding of AI/ML concepts and data ecosystems
- Demonstrated ability to manage cross-functional enterprise programs
- Experience with Agile, Scrum, or hybrid delivery methodologies
- Preferred Experience working with AI/ML development teams or MLOps environments
- Familiarity with cloud platforms (Azure, AWS, GCP) and AI tooling ecosystems
- Knowledge of responsible AI frameworks and model governance practices
- PMP, PgMP, Agile, or equivalent certifications