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# Solution Director: Data & AI

- **Company:** AND Digital
- **Location:** Miami, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Quality, Data Infrastructure, Snowflake, IT Architecture, Machine Learning Operations
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7cf78e48431817df

## About the Role

* Minimum 2+ years in recent leadership roles within AI OR a hands-on, client facing individual who is looking for a step up.
 * Has led teams shipping AI-driven software into production with measurable impact.
 * Balances deep technical fluency with strong client-facing and commercial ability.
 * Demonstrated experience embedding AI into client products or workflows.
 * Has worked with hyperscale clientele and/or consultancies.
 * Experienced in architecture reviews, code quality, and system design governance.
 * Proven success in consulting or digital delivery environments, ideally bridging product and services.
 * Comfortable in fast-paced, outcome-based commercial models (fixed-price and outcome-driven).
 * Experienced in coaching, scaling, and enabling teams across multiple geographies.
 * Uses metrics or OKRs to tie delivery to business outcomes.

Experience & Skills

 * 10 to 15 years in technology or consulting, with 6+ years in Data and AI delivery.
 * Proven record of leading enterprise AI or data programs for Fortune 1000 or mid-market clients.
 * Strong technical background in AWS, Snowflake, and other modern data platforms.
*

 + For example, able to lead solution architecture and delivery across AWS AI technologies - including Bedrock, SageMaker, and Connect, whilst maintaining a technology-agnostic approach when required.
 * Strong commercial and stakeholder management skills.
 * Excellent communication and storytelling ability - credible with both engineers and executives.
 * Must reside on the East Coast (NY/NJ, Atlanta, or South Florida).

## Description

* Act as a trusted advisor to C-suite stakeholders (CTO/CDO/CPO).
 * Build relationships that uncover client challenges and opportunities.
 * Show the art of the possible in Data & AI, connecting innovation to measurable outcomes.

 2. Shape solutions
 * Translate complex business needs into compelling, value-driven Data & AI solutions.
 * Guide teams to deliver against vision and ensure robust, outcome-focused delivery.
 * Support business case development and pre-sales.

 3. Technical & Delivery Oversight
 * Client-facing AI architecture, technology-agnostic solutioning (AWS, Google, Microsoft) and technical delivery oversight - The gate keeper for all things AI.
 * Oversee architecture quality and delivery outcomes across multiple engagements.
 * Ensure projects align to measurable client KPIs and business results.
 * Drive automation, MLOps, and engineering best practices through coaching and governance.

 4. Drive growth
 * Identify, qualify, and shape new opportunities across AND.
 * Partner with Client Teams to develop deals, coach others, and influence outcomes.
 * Collaborate closely with partners (e.g. AWS) to co-sell and co-market solutions.
 * Help define go-to-market strategy and reusable accelerators for AI and data offerings.
 * Represent AND Digital's AI capability in the market externally, contributing to proposals, events, and industry forums.
 * Achieve a leveraged revenue impact target of around $2.5m+.

 5. Lead our propositions and Practice IP
 * Own and evolve AND's Data & AI proposition, partnerships, and thought leadership.
 * Be a visible leader in the Data & AI community-driving consistency, quality, and innovation.
 * Develop training and mentoring to grow internal capability.

 6. Lead and inspire
 * Provide senior oversight, coaching, and technical challenge across engagements.
 * Champion excellence and act as a role model for proactive, positive leadership.
 * Mentor AI and data engineers across the US and nearshore teams.
 * Shape the foundation of AND Digital's AI practice in the US.
 * Contribute to US recruitment, onboarding, and capability growth across AI, Data and Platform Engineering, as well as more broadly.