The Product Owner/Forward Deployment Engineer bridges product strategy and technical execution within Portfolio Services, owning the development and deployment of AI-powered solutions that transform how we deliver client value. This role combines product ownership, technical implementation, and client-facing deployment to ensure solutions are built right and adopted successfully.
Key Responsibilities
Product Ownership & Strategy
- Define and prioritize product roadmap for AI agents and automation tools within Portfolio Services, aligning with business objectives and client needs
- Develop user stories, acceptance criteria, and success metrics in collaboration with stakeholders
- Own the product backlog, balancing immediate business needs with long-term strategic goals
- Conduct user research and gather requirements from Portfolio Services teams and clients to inform product development
Technical Deployment & Implementation
- Lead end-to-end deployment of AI solutions into live Portfolio Services environments
- Configure, customize,
and integrate AI agents with existing systems and workflows
- Troubleshoot technical issues during implementation and provide hands-on problem resolution
- Build proof-of-concepts and MVPs to validate solution feasibility and business value
Stakeholder Engagement & Change Management
- Partner with Transaction Management, Lease Administration, and Consulting teams to understand pain points and solution requirements
- Train end-users on recent AI tools and capabilities, ensuring successful adoption
- Gather feedback post-deployment and iterate solutions based on real-world performance
- Communicate progress, challenges, and outcomes to leadership and cross-functional teams
Governance & Quality Assurance
- Ensure AI solutions comply with governance frameworks, security standards, and ethical guidelines
- Document technical specifications, user guides, and deployment processes
- Monitor solution performance and implement impr