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Prin AI & Analytics Data Architect

Job in Shakopee, Scott County, Minnesota, 55379, USA
Listing for: Entrust Corporation
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, 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 Entrust as a Principal AI & Analytics Data Architect in the Corporate IT organization. In this role you will design and manage data systems, ensuring data quality, and provide technical leadership in data architecture. The position reports to the Chief Information Officer and is based in Shakopee, Minnesota.

Responsibilities
  • Implement and maintain a Data Catalog.
  • Standardize metadata tagging and data lineage so AI teams understand data sources.
  • Define a Semantic Layer (or metrics store) to ensure key metrics are consistently calculated across AI models and dashboards.
  • Ensure data is optimized for AI consumption, including vectorization readiness, handling unstructured content (PDFs, images), and developing “gold” standard datasets.
  • Define and own the enterprise AI + analytics reference architecture.
  • Architect data platforms supporting executive analytics and BI, machine learning and generative AI, and AI agents and copilots.
  • Establish standards across data lakes, warehouses, lakehouse patterns, semantic layers, governed metrics, feature stores, and vector data stores.
  • Ensure the architecture scales for global, multi‑business use cases.
  • Architect governance‑first data and AI patterns (not bolt‑ons).
  • Ensure analytics and AI workloads comply with data classification, retention policies, privacy, residency, and regulatory requirements.
  • Integrate and operationalize data cataloging and lineage, DSPM and sensitive data monitoring.
  • Serve as a trusted partner to Security, Risk, Legal, and Compliance.
  • Shift the organization from “Data pipelines” to data products and governed assets.
  • Define reusable patterns for ingest (ERP, CRM, SaaS, logs), transform (ELT/semantic modeling), and serve (BI, APIs, AI, Copilots).
  • Enable safe governed access to data for analysts, data scientists, AI agents, copilots, executive & architecture leaders.
  • Act as executive‑facing authority on data, analytics, and AI; present architecture, risks, and tradeoffs to the CIO and Executive Leadership Team.
  • Set and enforce data & 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 designing and scaling enterprise analytics platforms and 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), and 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 (AWS, Azure).
  • Knowledge of data security and privacy legislation.
Compensation

Base salary: $160,797–$235,836 per year in the primary posting location. This position is also eligible for the company’s discretionary annual incentive plan.

Benefits
  • Comprehensive medical, vision, and dental coverage.
  • Generous 401(k) matching contribution.
  • Life and disability insurance.
  • Mental health coaching.
  • Virtual fitness programs.
  • Paid personal time off and 12 paid holidays.
  • Parental leave.
  • Education reimbursement.
  • Flexible work options: remote, hybrid, or on‑site.
EEO & Inclusion Statement

Entrust is an EEO/AA/Disabled/Veterans Employer. For Canadian roles, Entrust values diversity and inclusion and is committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds and strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact

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