Technical Architect - Data Product Manager
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Sep 29, 2026.
JD - Data Product Manager
Data Product Manager - Enterprise Data Platform
Role Purpose
Own the vision, strategy, roadmap, governance, and adoption of the Enterprise Data Platform, enabling trusted, secure, reusable, and AI-ready data products that power business applications, analytics, automation, and digital transformation.
Act as the single point of accountability for Data Platform, Data Lake, Data Governance, Data Products, AI Enablement, API Management, and Enterprise Data Architecture, ensuring enterprise data is managed as a strategic business asset.
Key Responsibilities
Enterprise Integration & Data Architecture
Platform Ownership & Expertise
Strong understanding of enterprise-scale Data Platforms, including:
- Data Integration, Pipelines, Automation, APIs, CDC, and Event Streaming
- Data Lake, Data Catalog, Metadata, Lineage, and Master Data Management (MDM)
- Golden Record Architecture, Data Quality, Data Governance, and Security
- AI, Copilot, Knowledge Management, and Intelligent Automation
- Enterprise Search, Analytics, and Self-Service Data Products
- RBAC, Identity Management, Compliance, and Audit Controls
- Platform Operations, Monitoring, Release Management, and Reliability Engineering
Must possess hands-on experience designing real-time and batch data flows across multiple SaaS and enterprise applications, implementing complex transformations, validations, lookups, cross-reference rules, and maintaining a single source of truth through governed Golden Record and Master Data architectures.
Required Experience
- 10+ years of experience in Data, Analytics, Data Engineering, Data Architecture, Enterprise Integration, or Digital Transformation.
- 5+ years leading Enterprise Data Platforms, Data Products, Data Governance, or Data Management programs.
- Proven experience with Data Platforms, Data Lakes, API-based integrations, Analytics, and Governance initiatives.
- Strong experience managing large-scale enterprise integrations involving multiple SaaS applications and business-critical data flows.
- Demonstrated expertise in Master Data Management, Golden Record architecture, and enterprise data governance.
- Strong executive stakeholder management and cross-functional leadership skills.
Preferred Technologies
Azure Data Factory
- Databricks
- ADLS Gen2
- SQL Server
- Oracle
- MongoDB
- Snowflake
- AWS Data Services
- Kafka
- APIs
- CDC
- MDM
- Data Governance & Catalog Platforms
Preferred Certifications
- Certified Scrum Product Owner (CSPO) or SAFe Product Manager
- Certified Data Management Professional (CDMP)
- Microsoft Azure Data Engineer Associate
- Microsoft Fabric Analytics Engineer Associate
- Azure Solutions Architect Expert
- TOGAF Foundation / Enterprise Architecture
Key Skills
Data Product Management
- Enterprise Data Platform
- Data Lake
- Enterprise Integration
- API Management
- Real-Time Data Architecture
- Golden Record Management
- Master Data Management
- Data Governance
- Data Quality
- Metadata & Lineage
- AI Enablement
- Data Architecture
- Cloud Data Platforms
- Analytics
- Stakeholder Management
- Enterprise Transformation
Success Profile
A strategic leader who treats data as a product and combines the capabilities of a Data Product Manager, Enterprise Data Architect, Integration Architect, Data Governance Leader, and Platform Owner.
Responsible for delivering trusted, governed, real-time, AI-ready, and reusable enterprise data products while enabling seamless integration across multiple SaaS applications, enterprise systems, Data Lakes, AI platforms, and business applications through a single source of truth built on Golden Record and Master Data Management principles.