Senior Manager, Product Management overseeing a correspondence platform at Capital One. Leading product lifecycle, collaborating with teams to enhance customer communication processes.
About the role
- Product Manager leading AI & Analytics Enablement portfolio, including AI-powered user experiences in a global enterprise. Shaping product strategy and execution for data-driven insights and productivity tools.
Responsibilities
- Define and drive product vision, strategy, and execution for AI-driven user enablement, spanning natural language insights, analytics experiences, developer productivity tools, and enterprise chatbots.
- Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
- Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.
- Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.
- Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.
- Advocate for governance, metadata quality, and knowledge management to ensure AI-driven tools produce accurate and trusted results.
- Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.
Requirements
- 8–10 years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
- Proven success in AI/ML-enabled products, with strong understanding of large language models (LLMs), NLP, and conversational interfaces.
- Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems.
- Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
- Excellent skills in user research, stakeholder engagement, and storytelling with data.
- Experience setting KPIs and evaluation frameworks for AI/analytics products.
- Strong written and verbal communication skills; able to engage both executive and technical audiences.
- **Preferred**
- Master's degree in a relevant technical field. (Preferred, not necessary)
- Extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services).
- Strong understanding and experience with data-centric architectures, including data ingestion, transformation, storage, and consumption patterns, with an emphasis on data quality and integrity.
- Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment.
- Experience with building and managing data pipelines, data integration, or enterprise system integration projects.
- Knowledge of monitoring, logging, and alerting best practices for production systems on GCP.
Benefits
- Lead the product vision for AI-first user experiences in one of the world’s largest enterprises.
- Drive adoption of tools that enable both business users and developers to get faster, better insights.
- Shape the future of AI governance, trust, and knowledge enablement at scale.
- Join a collaborative, high-visibility team with the resources to deliver industry-defining impact.
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