Lead Product Manager

What is the opportunity?

The Lead Product Manager for Enterprise Data Architecture will own the product vision, strategy, and roadmap for the Enterprise Architecture Data Hubs, and Data Products, as well as ensuring that the data us ready for AI Agents. This role sits at the intersection of enterprise architecture, data engineering, and product management — responsible for translating the enterprise's application landscape and technology portfolio into governed, discoverable, and contract-driven data hub and product strategy that power analytics, AI, and business decision-making at scale.

The Lead Product Manager for Enterprise Data Architecture will own the product vision, strategy, and roadmap for the Enterprise Architecture Data Hubs, and Data Products, as well as ensuring that the data us ready for AI Agents. This role sits at the intersection of enterprise architecture, data engineering, and product management — responsible for translating the enterprise's application landscape and technology portfolio into governed, discoverable, and contract-driven data hub and product strategy that power analytics, AI, and business decision-making at scale.

The incumbent will also drive forward the vision for Architecture as Code for data initiatives, that include the digitization of architectural capabilities and standards, Architecture Blueprints, architecture decisions, and design artifacts so that they are maintained as living products rather than static documents. The Senior Product Manager will also champion Data Product Controls and contracts with partners in Chief Data Office and Lumina, embedding Application Control Assessments, Integrated Risk Profiles, and governance guardrails into the data product lifecycle, ensuring every data product and hub is built, validated, and promoted with enterprise-grade compliance and traceability.

This role requires a product leader who can bridge business stakeholders, data engineers, solution architects, and platform teams — defining what  done  looks like for data products, establishing the contracts that enforce quality and interoperability, and driving adoption across the enterprise.

• Own the product vision and roadmap for Enterprise Architecture Data Hubs — defining the intake, prioritization, and delivery of hub capabilities that enable cross-domain data sharing, discovery, and consumption.
• Define and manage the Data Hub Architecture portfolio as a product, including onboarding workflows, App Code lifecycle (LeanIX factsheet creation, approval, tagging), and end-to-end traceability across the toolchain
• Drive Data Hub adoption metrics — define OKRs and KPIs for hub utilization, data product consumption, onboarding velocity, and self-service enablement; report outcomes to leadership.
• Collaborate with domain teams to understand their analytical and operational data needs and support them in publishing well-governed data products through the hub.
• Establish and enforce Data Contracts as first-class artifacts — schema contracts (structure, types, constraints), SLA contracts (freshness, availability, latency), and semantic contracts (business definitions, lineage, classification) — between producers and consumers.
• Design data product interfaces including APIs, event streams, and governed dataset endpoints, ensuring interoperability across domains and alignment with data mesh principles.
• Build and maintain a Data Product catalog with discoverable metadata, lineage, quality scores, and usage analytics — enabling self-service consumption and reducing bespoke engineering.
• Implement contract testing and validation within CI/CD pipelines — ensuring schema enforcement, anomaly detection, freshness checks, and backward-compatibility verification before promotion.
• Map and maintain the application landscape as it relates to data flows — ensuring visibility into how data moves across source systems, integration layers, hubs, and consumption endpoints.
• Curate the Technology Reference Model (TRM) for data products — defining approved technologies, patterns, and reference architectures for ingestion, storage, processing,…