Senior Technical Discovery & Solutions Analyst - AI & Emergi

Description

We are looking for an experienced analyst to lead early-stage technical evaluations for AI, automation, and emerging technology opportunities with a client in Connecticut. This Long-term Contract position focuses on shaping informed decisions before delivery teams are engaged by examining technical fit, business value, and implementation readiness. The role will translate discovery findings into clear recommendations that help leaders prioritize initiatives with confidence.

Responsibilities:

Lead structured discovery sessions with stakeholders, vendors, and technical teams to clarify business needs and proposed solution capabilities.

Examine system compatibility by reviewing integration points, API requirements, data movement, infrastructure considerations, security needs, and operational effects.

Estimate staffing needs, projected costs, key dependencies, and practical factors that may influence delivery planning.

Perform targeted research, analyze technical materials, and support limited proof-of-concept activities when additional validation is needed.

Develop consistent assessment methods, reusable templates, and evaluation standards to improve how opportunities are reviewed.

Prepare technical discovery and readiness packages that summarize findings, outline feasibility, and present recommendation options for leadership.

Document preliminary solution approaches, identify potential blockers, and define next-step guidance for project and application teams.

Communicate assessment results in a concise, decision-ready format suitable for executive and cross-functional audiences.

Requirements

Background in technical consulting, business analysis, solution assessment, or systems integration within large organizations.
Ability to interpret architecture concepts, APIs, integrations, infrastructure components, and technical dependencies.
Familiarity with AI, automation, and other emerging technologies and their potential enterprise applications.
Strong written documentation skills with the ability to produce structured assessments and leadership-facing recommendations.
Effective communication and facilitation skills for working across business, vendor, and technology stakeholders.
Experience evaluating feasibility, risks, resource needs, and cost considerations before implementation begins.
Comfort operating in complex enterprise environments; healthcare technology exposure is an advantage.
Knowledge of business intelligence and reporting tools such as Microsoft Power BI or Tableau is beneficial.

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