JOB DESCRIPTION

You will own the product strategy and roadmap for capabilities that transform how users-business associates, analysts, and developers-interact with data, insights, and enterprise systems.
This is a unique opportunity to shape how AI unlocks productivity, agility, and decision-making across a global enterprise.

What Success Looks Like

User Adoption: Measurable growth in unique active users across business and developer personas.
Accuracy & Trust: ? 80% accuracy on benchmarked AI responses, with high user satisfaction scores.
Productivity Impact: Demonstrable improvements in developer and analyst productivity through AI-driven automation and insights.
Scalability: New teams/domains onboarded with reduced friction and improved metadata quality.

Why Join Us

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.

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.

QUALIFICATIONS

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.

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