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DL

Product Owner/Forward Deployment Engineer

Diverse Lynx India
Location not stated
3 months ago
  • AI
  • User Research
  • Change Management
  • AI/ML
  • Python
  • JavaScript
  • AWS
  • Azure
  • GCP
  • Agile
  • Scrum
  • Machine Learning
  • CSPO
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Role Overview
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 new 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 improvements based on usage data and feedback
  • Maintain quality standards throughout the development and deployment lifecycle
Required Qualifications
Technical Skills
  • 10+ years of experience in product management, software engineering, or technical implementation roles
  • Hands-on experience with AI/ML tools, automation platforms, or enterprise software deployment
  • Proficiency in at least one programming language (Python, JavaScript, or similar)
  • Understanding of APIs, system integrations, and data workflows
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
Business & Domain Knowledge
  • Understanding of commercial real estate operations, particularly Portfolio Services functions (Transaction Management, Lease Administration)
  • Experience translating business requirements into technical solutions
  • Ability to understand complex workflows and identify automation opportunities
  • Strong grasp of change management principles and user adoption strategies
Core Competencies
  • Excellent communication skills with ability to engage technical and non-technical audiences
  • Problem-solving mindset with hands-on, roll-up-your-sleeves approach
  • Comfortable working in ambiguous, fast-paced environments
  • Strong project management skills with ability to manage multiple priorities
  • Collaborative team player who can also work independently
Preferred Qualifications
  • Experience with Agile/Scrum methodologies and product management frameworks
  • Background in real estate technology, PropTech, or enterprise SaaS solutions
  • Familiarity with AI agents, LLMs, or generative AI applications
  • Prior experience in client-facing or consulting roles
  • Certifications in Product Management (CSPO, CPO) or relevant technical certifications
What Success Looks Like
  • AI solutions deployed successfully with measurable business impact (time savings, accuracy improvements, cost reduction)
  • High user adoption rates and positive feedback from Portfolio Services teams
  • Strong partnership with technology teams and business stakeholders
  • Clear product roadmap aligned with strategic priorities
Solutions that scale across geographies and client accounts

Product Owner/Forward Deployment Engineer · Diverse Lynx India

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