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Prin AI & Analytics Data Architect

Job in Shakopee, Scott County, Minnesota, 55379, USA
Listing for: Entrust
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 160797 - 235836 USD Yearly USD 160797.00 235836.00 YEAR
Job Description & How to Apply Below

Overview

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. Our people drive the curiosity, dedication, and innovation that fuel our success and help us anticipate the future.

Role

Entrust is seeking a Principal AI & Analytics Data Architect to join our Corporate IT organization to design and manage data systems, ensure data quality, and provide technical leadership in data architecture. The position reports to the Chief Information Officer and is based 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 (or metrics 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, multi‑business use cases
  • Data Governance, Trust & Risk (By Design)
    • Architect governance‑first data and AI patterns, not bolt‑ons
    • 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 executive‑facing 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
  • 12–15+ years in data architecture, analytics leadership, or platform design
  • Proven experience in designing and scaling enterprise analytics platforms
  • AI‑ready data foundations
  • Implement and maintain a Data Catalog platform
  • Strong command of cloud data ecosystems (AWS preferred)
  • Analytics architectures (BI, semantic layers, metrics)
  • AI‑specific data patterns (RAG, feature stores, vector data)
  • Deep understanding of governance, privacy, and security‑by‑design
  • Experience operating in complex, regulated, or security‑sensitive environments
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal abilities
  • Ability to work independently and collaboratively in a team environment
Preferred Qualifications
  • Prior ownership of an Analytics or Data function
  • Experience modernizing legacy analytics stacks
  • Expertise bridging IT architecture, analytics delivery, and business decision‑making
  • Background working directly with executive leadership
  • Familiarity with cloud platforms (e.g., AWS, Azure)
  • Knowledge of data security and privacy legislation
Compensation and Benefits

The anticipated starting base pay for this position is $160,797-$235,836 per year (in the primary posting location). This position is eligible for the company’s discretionary annual incentive plan. Entrust offers comprehensive health and well-being programs, 401(k) matching, life and disability insurance, mental health coaching, virtual fitness programs, paid time off plus 12 paid holidays, parental leave, and education reimbursement. Eligibility for programs is subject to plan terms and conditions.

Roles in the US or applicable locations may be subject to additional policies. Please speak with the recruiter for details.

EEO and Accessibility

Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion and we are committed to building a diverse workforce. If you require an accommodation, contact

Recruiter

Steve Donahue

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