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Overview
Lead / Manager

AI & Data Innovation Lead

Confirmed live in the last 24 hours

Strata Information Group (Higher Ed IT Consulting)

Strata Information Group (Higher Ed IT Consulting)

Compensation

$100,000 - $120,000/year

Remote
Remote
Posted February 27, 2026

Job Description

Strata Information Group (SIG) is a trusted leader in highereducation technology consulting, supporting colleges and universities with ERP/SIS modernization, digital transformation, CRM, cybersecurity, and strategic advisory services. As a longstanding and deeply embedded partner within the highereducation sector, SIG brings together technical depth, operational insight, and a culture rooted in integrity, collaboration, and exceptional client service. Our heritage is built on handson expertise, genuine relationships, and a commitment to delivering value with humility and excellence—values that continue to define us as we scale. 

AI & Data Innovation Lead

The Role

We are looking for a smart, hungry, highly motivated AI & Data professional who is eager to contribute to the transformation of a modern consulting firm through AI innovations. Please note that this is not a maintenance role.

This is a build-it, test-it, break-it, improve-it role.

You will work directly with senior management to identify, prototype, and implement AI-driven capabilities across internal operations and delivery execution.

The goal: fail fast, learn fast, and succeed fast.

In this role, you will report to the CEO with a dotted line to other executive leaders. You will participate in a regular steering committee with senior leadership to align priorities and review progress. Additionally, you will work cross-functionally with stakeholders from Sales, Delivery, Contracts, HR, Finance, and IT.

What You’ll Do

AI Strategy in Action

  • Identify high-impact AI use cases across client delivery, internal operations, and go-to-market
  • Rapidly prototype AI-powered solutions using available tools and custom approaches
  • Direct and refine AI tools (prompt engineering, automation workflows, lightweight scripting)
  • Maintain a prioritized AI roadmap balancing speed-to-impact against long-term strategic value

Build vs. Buy Analysis

  • Evaluate AI tools in the market and assess when to leverage existing platforms vs. build internally
  • Create clear recommendations for leadership with cost implications
  • Track and report on AI platform costs, API usage, and total cost of ownership

Data & Systems Collaboration

  • Work with internal stakeholders to identify data sources and opportunities for AI leverage
  • Help organize and prepare data for AI-driven use cases
  • Partner with consultants and functional leaders to translate real-world business needs into AI-enabled solutions
  • Establish and enforce data governance guardrails: what data can and cannot be used in AI tools, PII handling, and confidentiality protocols

Adoption & Change Management

  • Drive user adoption through hands-on training, documentation, and workflow embedding
  • Identify and cultivate AI champions within each functional area
  • Run regular demos and share progress with senior leadership
  • Track adoption metrics and iterate on tools based on user feedback

Vendor & Budget Management

  • Evaluate, trial, and manage relationships with AI tool vendors
  • Own the AI tools budget: track spend, forecast costs, and ensure ROI justifies investment
  • Negotiate licenses and manage renewals for AI platforms

Execution & Experimentation

  • Move quickly from concept to test
  • Embrace context switching as priorities evolve
  • Iterate rapidly when ideas don’t land as expected

How Success is Measured

  • Number of AI tools/workflows deliv
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