Data and AI Studio\Practice Leader

Position Overview

 

As the Data and AI Studio\Practice Leader, you will serve as the most senior data and AI engineer at Aubrant Digital, setting the technical vision, engineering standards, and innovation agenda for the entire Data and AI Engineering Studio.  This include building our capabilities in Aubrant’s Workbench product.  You will be deeply hands-on with customer projects 50% of your time, delivering production-grade data platforms, analytics architectures, and AI/ML solutions. You will also play a critical role in pre-sales, partnering with Advisory and Business Development to shape proposals, lead technical discovery sessions, and demonstrate Aubrant’s data and AI capabilities to prospective clients. This role demands someone who builds, not someone who only advises, and who can shift seamlessly between architecting an Azure Synapse lakehouse, training a team on agentic patterns, and presenting a data strategy to a CTO.

What qualifications make you an Aubrant Data and AI Studio Leader?

1. A hands-on technical leader who stays close to the code, data, and models; you lead by doing, not by delegating exclusively.
2. A compelling communicator who can articulate complex data and AI architectures to executive audiences during pre-sales engagements, building confidence and winning new business.
3. A relentless innovator who continuously evaluates emerging frameworks, model architectures, and cloud services to keep Aubrant and its clients at the leading edge.
4. A builder of engineering culture who mentors Studio Principals and Members, establishes best practices, and raises the technical bar across every engagement.
5. Comfortable operating in ambiguity, whether scoping a greenfield data platform for a new client or navigating competing priorities across multiple active engagements.
6. A customer-obsessed partner who builds deep trust with clients, understands their business context, and translates that understanding into data and AI solutions that deliver measurable outcomes.

Responsibilities:

Studio Leadership and Strategy:

• Define and drive the technical vision, engineering standards, and capability roadmap for the Data and AI Engineering Studio, ensuring alignment with Aubrant’s Advisory, Studios, and Workbench ecosystem.
• Recruit, mentor, and develop Studio Principals and Members through structured assessments, code reviews, knowledge sharing, and hands-on coaching on real engagements.
• Drive innovation by evaluating and adopting emerging data and AI technologies, frameworks, and patterns; contribute reusable accelerators and reference architectures to Aubrant Workbench.

Hands-On Technical Customer Delivery:

• Architect, build, and deploy production-grade data platforms, analytics pipelines, machine learning models, and AI-powered solutions for enterprise clients, primarily on Azure (with AWS and multi-cloud as needed).
• Lead complex data and AI engagements end-to-end: discovery, architecture design, hands-on implementation, testing, and production cutover, ensuring solutions meet performance, governance, and security requirements.
• Serve as the technical authority on client engagements, making real-time architectural decisions, resolving escalations, and ensuring delivery quality at the highest billing tier.

Pre-Sales and Business Development:

• Partner with Advisory and Business Development to lead technical discovery sessions, shape proposals, define solution architectures, and develop effort estimates for data and AI opportunities.
• Present Aubrant’s data and AI capabilities to prospective clients, demonstrating technical depth and business acumen in executive-level conversations that build confidence and close deals.
• Develop and maintain reusable pre-sales assets including reference architectures, demo environments, and proof-of-concept frameworks that accelerate the sales cycle.

Innovation and Workbench Contribution:

• Contribute data and AI accelerators to Aubrant Workbench, including reusable data pipeline templates, ML model serving patterns, AI agent frameworks, and governance modules.
• Stay current with the rapidly evolving data and AI landscape: evaluate new services (Azure AI Foundry, Amazon Bedrock, open-source LLMs), assess their enterprise readiness, and integrate viable capabilities into Aubrant’s delivery model.
• Collaborate with the Woxsen University AI Research Partnership on applied research initiatives, translating academic breakthr…