Senior Technical Architect; Data, Analytics & AI

Direct Hire
-US Citizen or Green Card Only –
NO (Sponsorship, H1B, OPT, EAD, F1 or OPT)

Salary + Benefits $165,000 - $195,000 USD & 15% bonus – Onsite Cincinnati, OH 3 days a week

CBTS is searching for a Technical Architect (TA) with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join our IT Enterprise Architecture organization. This role is accountable for proactively leading data‑, analytics‑, and AI‑driven technology transformation initiatives and enabling measurable business outcomes across the enterprise.

The Technical Architect will play a critical role in transforming local, legacy, data‑driven processes, and systems into centralized, scalable, and group‑wide platforms
, while ensuring alignment with enterprise architecture standards and business strategy.

Technical Architects provide technical leadership across analysis, design, facilitation, and execution
, supporting the evolution of enterprise Data, Analytics, and AI capabilities and the associated application portfolios and technology stacks. The role owns the creation of key architectural deliverables such as target‑state architectures, transformation roadmaps, standards, and guidelines to enable successful project delivery and long‑term strategic outcomes.

This position is based in the USA and ensures that Data, Analytics, and AI architecture vision, principles, and standards are consistently executed through a common enterprise framework
, with a strong emphasis on cloud‑based data platforms, AI enablement, and data governance
.

The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural leadership in enterprise data platforms, integration components, and AI‑enabled data strategies
.

• Assist in the development of a multi‑year Data, Analytics, and AI roadmap
  , aligned with the CBTS Target Architecture and Roadmap Development Process, in collaboration with Data & Analytics Enterprise Architects.
• Drive standardization of Data, Analytics, and AI technology standards, principles, and guidelines across multiple business entities.
• Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities.
• Design and guide data‑centric and AI‑enabled initiatives
  , supporting the transition from traditional data architectures to next‑generation cloud, analytics, and AI platforms
  .
• Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management
• Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives and implementations.
• Identify technology‑related business pain points by mapping business capabilities to current platforms
  , leveraging EA practices and participating in innovation activities
  , including AI adoption.
• Enable IT development and infrastructure teams to make informed technology decisions through frameworks, reference architectures, standards, and reusable patterns.
• Identify technical risks, architectural gaps, and vulnerabilities that could impact project delivery or lead to post‑release defects.
• Reduce cost and complexity through standardization, reuse, and rationalization of data, analytics, and AI platforms.
• Partner with EA and TA peers (enterprise, solution, and business architects) to derive the future‑state technology architecture
  , aligned to business strategy and external trends.
• Define migration and transformation plans to close gaps between current and target states, in alignment with Business Solutions and Business Technology Architects.
• Support governance, assurance, and compliance activities to ensure alignment with enterprise architecture standards and policies
  .
• Assess and articulate the organizational, skills, process, and financial impact of changes to the application portfolio, data platforms, and AI stack.
• Define and govern enterprise AI architecture standards
  , including model lifecycle management, MLOps, and AI platform integration.
• Ensure responsible and compliant AI…