below marketmost similar roles pay hereabove market
This role pays more than
96%
of similar roles. Most pay
$176,450–$226,800
— the blue band above.
At the midpoint, this role pays about
$280k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
256 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 238 roles with salary data.
The Group Product Manager, Enterprise Data will join the Data Foundations team to lead the transformation of enterprise data into an agent-first context layer. This leader will define the multi-year product vision and roadmap for the Business Object Model, establishing canonical definitions for business concepts. Key responsibilities include creating reusable agent context, metadata, lineage, and policy-aware access patterns while replacing legacy human-centric workflows with automated, intent-driven self-service consumption. The role requires translating complex requirements into platform capabilities for applications, AI agents, and analysts. Candidates must possess expertise in enterprise data architecture, data modeling, and governance. Preferred technical skills include experience with Databricks, Snowflake, AWS data services, knowledge graphs, ontologies, and fine-grained access control systems to solve the problem of providing clean, connected business context in an agentic world.
Define the multi-year product vision, strategy, and roadmap for the Enterprise Context Layer and Agent-First Data Consumption.
Lead the transformation from human-centric data workflows toward agent-first, intent-driven, and self-service consumption experiences.
Establish product requirements for agent-consumable semantics, metadata, lineage, data quality, and policy signals.
Partner with engineering to create reusable, scalable interfaces for both human and machine consumers.
Design mechanisms for automated, fine-grained, and policy-aware access control to replace manual ticket-driven processes.
Translate complex business semantics and technical constraints into reusable platform capabilities.
Own the cross-portfolio go-to-market and customer success strategy to drive adoption of context-layer capabilities.
Recruit, lead, coach, and develop a high-performing team of product managers.
What we're looking for
10+ years of product management experience across enterprise data platforms, data infrastructure, analytics, AI, developer platforms, or related technical products.
Demonstrated success leading platform transformations that replaced fragmented or bespoke workflows with reusable enterprise capabilities.
Strong understanding of modern enterprise data architecture, including data modeling, metadata, governance, data quality, lineage, and data consumption patterns.
Experience defining platform abstractions and paved paths that hide infrastructure complexity while preserving flexibility for sophisticated users.
Strong understanding of semantic data concepts, including canonical models, business entities, semantic layers, or comparable enterprise modeling approaches.
Experience building or leading products consumed by developers, analysts, data scientists, AI systems, or other technical customers.
Strong understanding of AI and agentic architectures, including how agents discover, retrieve, interpret, and act on enterprise context.
Experience with enterprise authorization, access control, policy enforcement, data privacy, or governance systems.
Experience leading, recruiting, coaching, and developing product managers.
Experience with Databricks, Snowflake, AWS data services, or comparable modern data platforms (preferred).
Experience with knowledge graphs, ontologies, semantic layers, enterprise business object models, entity resolution, or canonical data models (preferred).
Experience with fine-grained access control, policy engines, consent, purpose-based access, or automated data governance (preferred).
Data product-management
SQL
APIs
Azure Databricks
Delta Lake
Unity Catalog
GenAI
Machine Learning
Data Governance
Data Engineering
Cloud Data Platforms
Lakehouse Architecture
data, lineage
Streaming
Batch Delivery
Data Quality