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Manager, Data Platform & AI Architecture

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: TAG - The Aspen Group
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone.

TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses:
Aspen Dental, Clear Choice Dental Implant Centers, Well Now Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Manager, Data Platform & AI Architecture. The Manager will oversee teams responsible for Data Architecture, Platform and AI Ops and Readiness while shaping the future of our data platform needs to meet evolving business needs.

Key Responsibilities

Data Architecture & AI Ops and Readiness

  • Define the TAG line of business semantic models and data platform layer
  • Lead the adoption of modern cloud-native architectures, infrastructure-as-code practices, and data platform modernization efforts to ensure the data organization is following best in class practice from code management and repeatability.
  • Evaluate and implement technologies to enhance data accessibility, analytics capabilities, and operational efficiency.
  • Partner with the key business stakeholders to overall define the data strategy for TAG including investments with business objectives.
  • Partner with the Senior Director of Data Platform and VP of AI to define and implement roadmaps for emerging data technologies missions and values in areas such as Generative AI, advanced analytics and leading data technologies

Leadership & Team Development

  • Build, mentor, and inspire a high-performing team of Reporting Engineering and Data Architects
  • Develop career growth pathways and training programs to upskill team members on modern data technologies.
  • Foster a culture of continuous improvement, operational excellence, and innovation.

Cross-Functional Collaboration & Delivery

  • Collaborate with Data Engineering, Analytics, Product & Business Stakeholders to deliver scalable, data products to support TAG and brands.
  • Serve as a trusted advisor to business stakeholders, translating data platform capabilities into tangible business outcomes.
  • Lead data platform support for key company initiatives, including new product launches, analytics enhancements, and data governance.

Performance Monitoring & Continuous Improvement

  • Define and track key performance indicators (KPIs) for platform performance, availability, and data quality across the data faculties
  • Establish feedback loops with data consumers to continuously improve platform usability and performance.
  • Drive automation and process optimization to reduce operational overhead and increase efficiency.
Qualifications & Experience
  • 5+ years of experience of working in a data or related technical role with the management of data
  • 3+ years in a leadership role, overseeing technical teams and/or large-scale data infrastructure.
  • Commercial software development experience of implement RAG, AI, LLM, Agentic and similar tooling
  • Proven track record of leading cloud migrations, preferably on Google Cloud Platform.
  • Strong understanding of Dev Ops principles, including CI/CD, automation, and infrastructure as code.
  • Exceptional communication, stakeholder management, and organizational skills.

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

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