Lead AI & Data Architect (Project Lead)

Stralynn Consulting Services, Inc.•Brentwood, TN
•Remote

About The Position

We are seeking a highly capable Solutions Architect with strong developer and solutions architecture depth. You will be hands-on in developing, testing, and deploying AI solutions that integrate seamlessly into enterprise systems and project-level applications. The Project Lead will be responsible for creating an integrated system where persona intelligence, data pipelines, AI, automated workflows, and analytics seamlessly support human engagement. This is a builder's role: we're looking for someone who can move fluidly between architecture-level strategy and hands-on implementation, not a strategy-only consultant or a pure researcher.

Requirements

  • Bachelor's degree in computer science, engineering, data science, or a related technical field.
  • 5+ years of experience in solution architecture, enterprise systems, or technology transformation, with a proven ability to design integrated ecosystems that seamlessly connect prospect data, CRM/workflow, digital engagement, and analytics (avoiding disconnected tools).
  • 2+ years of hands-on experience with AI, automation, or decision-support solutions, specifically applied to behavioral signal detection, intelligent workflow automation (routing, alerts, scheduling), and persona-informed personalization on a scale.
  • Ability to act as the primary technical liaison, seamlessly translating medical education strategy, audience definitions, and persona intelligence into actionable technical requirements and architecture.
  • Experience managing the rapid, secure development and deployment of complex prototypes.
  • Strong communication skills to lead joint development efforts between strategic consortium leads, marketing teams, and engineering squads.
  • Candidates must be legally authorized to work in the United States on a permanent basis. This position is not eligible for visa sponsorship, now or in the future.

Responsibilities

  • Lead the overarching design to connect prospect data, CRM systems, digital engagement platforms, analytics, and AI capabilities, ensuring a cohesive ecosystem rather than a collection of disconnected tools.
  • Architect data pipelines and analytics models to capture observable engagement and behavioral data. Use these models to identify changing intent, disengagement, or moments that require different communication or human follow-up.
  • Develop scalable AI solutions that leverage validated persona insights, stated preferences, and real-time engagement signals to dynamically adjust content, messaging, and sequencing without treating personas as fixed labels.
  • Design and implement automated routing, scheduling, reminders, and service tasks that optimize internal operations while preserving essential human ownership over key relationships.
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