A
AND Digital
Solution Director
Skills
SnowflakeAIAWS
1 month ago
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Important information
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
8 October 2026
What they need
Who you are
- 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
What the job involves
- As a Technical Solution Director within our central Practice Area, you will play a pivotal role in shaping and driving the growth of AND Digital’s Data & AI business
- Reporting directly to the US CTO, you’ll define and execute our go-to-market strategy, build strong ecosystem partnerships, and guide solution delivery through AND’s unique club model
- Acting as a senior advisor to clients, you will design and lead the delivery of transformative enterprise-grade Data & AI solutions, leveraging deep expertise across AWS, Snowflake, and other modern data platforms
- As part of a rapidly scaling US operation—growing over 400% year-over-year—you’ll collaborate with global powerhouses and C-Suite leaders across industries such as Financial Services, Travel, and beyond
- In addition to driving client success, you’ll help shape AND Digital’s AI capability across North America, fostering technical excellence and growing internal capability to meet the expanding demand for intelligent data-driven transformation
- Engage with clients
- 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
- 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
- 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
- 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+
- 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
- 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
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