Product Management Jobs 2026 (Now Hiring) – Smart Auto Apply
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Sr. Director - Centralized BI & Stores Intelligence Product Management : 26-02108
$100 - $110 / hour
Posted 1 week ago
Program & Portfolio Management - Product Owner Sr
Posted 1 week ago

Senior Director, Product Management – WinTeam ERP
Posted 3 days ago

Head of Software Product Management
$150,000 - $205,000 / year
Posted 30+ days ago

Product Management Lead, Core Experience
$210,000 - $240,000 / year
Posted 2 weeks ago
Manager Healthcare Information Services Integration (Incident Management, Request Management, Problem Management, Deployment Management, Integration Systems Upgrades And Platform Management)
$55 - $60 / hour
Posted 30+ days ago
Product Security Engineer (PSIRT - Product Security Incident Response Team)
Posted 30+ days ago
Senior Product Engineer, Product Foundry
Posted 30+ days ago
Staff Product Designer, Product Infrastructure
Posted 30+ days ago
Product Engineer, Product Platform
Posted 30+ days ago
Senior Product Manager - Delivery & Operations Product Lead – Authoring Platform
$134,400 - $219,200 / year
Posted 30+ days ago
Product Safety and Compliance Sr. Manager - New Product Development
Posted 30+ days ago
Senior Technical Product Manager & Product Owner
$120,000 - $190,000 / year
Posted 30+ days ago
Senior Product Manager, Core Product
Posted 30+ days ago
Product Owner/Product Delivery Manager
$70 - $85 / hour
Posted 3 weeks ago
Product Manager, Product Partnerships - Asset Hub
$130,000 - $170,000 / year
Posted 1 week ago
Product Lead - Core Product Experiences
Posted 2 weeks ago
Senior Product Manager, Core Product
Posted 1 week ago
Member of Product Staff, Technical Product Manager
Posted 1 week ago
Product Marketing Manager, Core Product
$175,000 - $225,000 / year
Posted 1 week ago

Sr. Director - Centralized BI & Stores Intelligence Product Management : 26-02108
$100 - $110 / hour
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Overview
Job Description
- Own the product strategy and roadmap for Centralized BI and Stores Intelligence platforms across the enterprise.
- Lead the development of AI-powered analytics capabilities including Natural Language Query (NLQ), automated insights, narrative generation, anomaly detection, and agentic BI workflows.
- Partner with Vertex AI/Gemini platform teams to build secure, scalable, AI-enabled analytics products.
- Drive enterprise reporting modernization by consolidating legacy reporting solutions into a centralized BI platform.
- Lead globally distributed Product Management teams across the US and offshore delivery centers.
- Collaborate with Customer, Product, Enterprise, and Store leadership to define priorities and deliver business value.
- Translate complex business requirements into scalable product roadmaps and execution plans.
- Drive adoption of self-service analytics and modern BI capabilities across enterprise stakeholders.
- Present product strategy, roadmap updates, and business outcomes to executive leadership.
- Foster product excellence, innovation, and continuous improvement across analytics platforms.
- 12+ years of technology experience with 7+ years leading Enterprise BI, Analytics Platforms, or Data Products.
- Proven Product Management leadership experience for enterprise-scale BI and analytics platforms.
- Hands-on experience with Power BI and modern cloud data platforms (GCP/Vertex AI preferred).
- Strong understanding of AI/LLM technologies including RAG, Agentic AI, Conversational Analytics, and Natural Language Query (NLQ).
- Experience building AI-augmented reporting, self-service analytics, and enterprise data products.
- Strong executive communication and stakeholder management experience, including SVP/C-level leadership.
- Experience leading distributed, cross-functional Product Management organizations.
- Strong strategic thinking combined with hands-on execution capabilities.
- Experience driving enterprise transformation and large-scale analytics modernization initiatives.
- Experience with Vertex AI, Gemini, BigQuery, Looker, or GCP ecosystem.
- Retail, eCommerce, or Consumer Products industry experience.
- Experience leading enterprise AI adoption and digital transformation initiatives.
- Knowledge of modern Data & AI architectures, data governance, and analytics platforms.
- MBA or advanced degree in Business, Computer Science, Data Analytics, or related field.
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