Entrust Datacard

Prin AI & Analytics Data Architect

Entrust Datacard$160K — $235K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12-15+ years in data architecture, analytics leadership, or platform design
  • Experience in designing and scaling enterprise analytics platforms
  • Expertise with AI-ready data foundations and Data Catalog implementation
  • Strong knowledge of cloud data ecosystems, especially AWS
  • Command of analytics architectures and AI-specific data patterns
  • Deep understanding of governance, privacy, and security principles
  • Strong analytical, problem-solving, and communication skills.

Responsibilities

  • Implement and maintain a Data Catalog to manage data accessibility.
  • Standardize metadata tagging for better clarity on data sources.
  • Create a Semantic Layer for consistent metric calculations across analytics.
  • Optimize data for AI use, including handling unstructured formats and ensuring data quality.
  • Define and own enterprise AI + analytics reference architecture to support various use cases.
  • Establish standards for data lakes, warehouses, and semantic layers.
  • Act as a data and analytics authority, presenting to top executives.

Benefits

  • Comprehensive health and well-being programs including medical, vision, and dental.
  • Generous 401(k) matching contribution.
  • Life and disability insurance.
  • Mental health coaching and virtual fitness programs.
  • Paid personal time off plus 12 paid holidays.
  • Parental leave and education reimbursement.
Full Job Description
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" 12 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.


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.

Recruiter:
Steve Donahue

[email protected]

About Entrust Datacard

Entrust Datacard is a privately held information technology company headquartered in Shakopee, Minnesota. The company was formed in 2014 through the merger of Entrust and Datacard Group. Entrust Datacard provides a wide range of products and services, including identity and access management, secure communications, and card issuance solutions. The company serves customers in a variety of sectors, including financial services, government, healthcare, and retail. Entrust Datacard is committed to sustainability and has implemented numerous initiatives to reduce its environmental impact. The company has received numerous awards for its products and services, including the SC Magazine Award for Best Identity Management Solution in 2019.
Learn more about Entrust Datacard
Size
2,000 employees
Industry
Founded
1994

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