Prin AI & Analytics Data Architect

Posted 2 Days Ago
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Shakopee, MN, USA
In-Office
161K-236K Annually
Expert/Leader
Information Technology • Security • Software
The Role
Lead enterprise AI and analytics architecture: design AI-ready data platforms, implement data cataloging, semantic layers, feature and vector stores, ensure governance/privacy-by-design, enable data products for BI, ML, and AI agents, and advise executive leadership while mentoring architects and engineers.
Summary Generated by Built In

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. 

   

Get to Know Us  

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

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 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
  • Business decision‑making
  • Background working directly with executive leadership
  • Familiarity with cloud platforms (e.g., AWS, Azure) 
  • Knowledge of data security and privacy legislation.

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:  

  • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.  

  • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.  

  • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.  

We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.  

 

Ready to Make an Impact?  

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.  

   

Apply today!  

 

For more information, visit www.entrust.com.  Follow us on, LinkedIn, Facebook, Instagram, and YouTube

Compensation Range:


The anticipated starting base pay for this position is: $160,797-$235,836 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company’s discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.

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 [email protected].

Recruiter:

Steve Donahue

[email protected]

Skills Required

  • 12-15+ years in data architecture, analytics leadership, or platform design
  • Proven experience designing and scaling enterprise analytics platforms
  • Experience building AI-ready data foundations
  • Implement and maintain a Data Catalog platform
  • Strong command of analytics architectures (BI, semantic layers, governed metrics)
  • Experience with AI-specific data patterns (RAG, feature stores, vector data stores)
  • Deep understanding of data 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
  • Strong command of cloud data ecosystems
  • AWS experience (preferred)
  • 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

Entrust Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entrust and has not been reviewed or approved by Entrust.

  • Retirement Support Retirement plans are characterized as strong, with a notable employer match and a well-regarded 401(k) offering. This support materially strengthens total compensation.
  • Leave & Time Off Breadth Time-off provisions are described as generous, including substantial PTO and paid holidays with growth over tenure. Regional examples also highlight parental leave enhancements in some locations.
  • Flexible Benefits Hybrid and work-from-home options alongside flexible hours are available and support work–life balance. These arrangements add meaningful flexibility to the total rewards mix.

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The Company
Melbourne, VIC
2,800 Employees
Year Founded: 1994

What We Do

Entrust offers identity-based security software and services.

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