Prin AI & Analytics Data Architect

Entrust is seeking a Principal AI & Analytics Data Architect to join our Corporate IT organization to design and manage data systems ensuring data quality and providing technical leadership in data architecture. The position reports to the Chief Information Officer and isbased in Shakopee Minnesota United States.

Responsibilities

• Implement and maintain a Data Catalog.
• Standardize metadata tagging and data lineage to ensure AI teams clearly understand data sources.
• Define a Semantic Layer (ormetrics store) so key metrics are calculated consistently across AI models and dashboards.
• Ensure data is optimized for AI consumption including vectorization readiness handling unstructured content (e.g. PDFs images) and developing gold standard datasets.
• Enterprise AI & Analytics Architecture (Primary)
  • Define and own the enterprise AI analytics reference architecture
  • Architect data platforms that support:
    • Executive analytics and BI
    • Machine learning and generative AI
    • AI agents and copilots
  • Establish standards across:
    • Data lakes warehouses and lakehouse patterns
    • Semantic layers and governed metrics
    • Feature stores and vector data stores
    • Ensure the architecture scales for global multibusiness use cases
• Data Governance Trust & Risk (By Design)
  • Architect governancefirst data and AI patterns not boltons
  • Ensure analytics and AI workloads comply with:
    • Data classification and retention policies
    • Privacy residency and regulatory requirements
  • Integrate and operationalize:
    • Data cataloging and lineage
    • DSPM and sensitive data monitoring
    • Be a trusted partner to Security Risk Legal and Compliance
• Platform & Data Product Leadership
  • Shift the organization from:
    • Data pipelines Data products and governed assets
  • Define reusable patterns for:
    • Ingest (ERP CRM SaaS logs)
    • Transform (ELT/semantic modeling)
    • Serve (BI APIs AI Copilots)
  • Enable safe governed access to data for:
    • Analysts
    • Data scientists
    • AI agents and copilots
• Executive & Architecture Leadership
  • Act as the executivefacing authority on data analytics and AI
  • Present architecture risks and tradeoffs to:
    • CIO
    • Executive Leadership Team
  • Set and enforce data and analytics standards across IT and product teams
  • Mentor senior architects analytics leaders and engineers

Basic Qualifications

• 1215 years in data architecture analytics leadership or platform design

• Proven experience in designing and scaling:

• Enterprise analytics platforms
• AIready data foundations
• Implement and maintain a Data Catalog platform

• Strong command of:

• Cloud data ecosystems (AWS preferred)
• Analytics architectures (BI semantic layers metrics)
• AIspecific data patterns (RAG feature stores vector data)
• Deep understanding of governance privacy and securitybydesign

• Experience operating in complex regulated or securitysensitive environments
• Stronganalyticalandproblem-solvingskills.
• Excellentcommunicationandinterpersonalabilities.
• Abilitytoworkindependentlyandcollaborativelyinateamenvironment.

Preferred Qualifications:

• Prior ownership of an Analytics or Data function
• Experience modernizing legacy analytics stacks

• Expertise bridging:

• IT architecture
• Analytics delivery
• Business decisionmaking

• Background working directly with executive leadership
• Familiaritywithcloudplatforms()

Compensation Range:

For US roles or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation contact .

Recruiter: