Donnard Christian
Product Manager @ Lowe’s Companies, Inc | CSPO, POPM | Affinity Business Group Leader | Inclusion Advocate |
- Role
- Associate Product Manager, Generative Ai Analytics at Lowe's Companies, Inc.
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Donnard Christian
Product Manager experienced in driving Generative AI enhancements throughcustomer insights, operational feedback loops, and performance analytics. Skilled inAgile product development, cross-functional alignment, and enabling successfulfeature launches through clear requirements and strong stakeholder communication.Background in knowledge management and workflow optimization enables a holisticapproach to solving user pain points and improving product usability.
Experience
Associate Product Manager, Generative Ai Analytics
Jan 2025 — Present
Operate within a defined product scope focused on Generative AI chat capabilities, aligned with team and business OKRs- Define and track OKRs tied to user engagement, model performance, and product adoption, in collaboration with design, research, and engineering- Partner with senior product leads to shape features that enhance chatbot accuracy, personalization, and overall user experience- Write clear, detailed user stories for AI-driven chat features, integrating customer feedback, UX principles, and technical feasibility- Collaborate closely with engineering and data science teams to prioritize the product backlog for chat experiences, balancing performance and innovation- Participate in and lead Agile ceremonies, refining scope and facilitating cross-functional clarity and alignment- Drive customer feedback loops to inform iterative improvements to chat response quality, latency, and contextual relevance- Lead go-to-market strategy and messaging for major chat feature releases, enabling internal enablement and customer awareness- Contribute to prompt engineering strategies and work with AI/ML teams to evaluate model behavior through testing and live data- Monitor model health, hallucination rates, conversation drop-off, and key user metrics, aligning data insights with roadmap planning- Define requirements for logging, monitoring, and evaluation of chat feature performance across diverse user personas and intents.
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