Team Lead, Engineering, Data & AI

Team Lead, Engineering, Data & AI

Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.

We are seeking a detail-oriented and proactive Team Lead, Engineering, Data & AI, to join our team. This role leads a team of solution engineers who deliver fixed-price, outcome-based data and AI projects for our clients. This is a high-accountability leadership role where technical excellence and commercial discipline are equally important — in a fixed-price model, every scoping decision, delivery risk, and scope change has a direct impact on project margin and client trust. Reporting to the Director of Data & AI, you will own the full delivery lifecycle across your team's client portfolio: from pre-sales scoping and SOW definition through to outcome acceptance. You will work in close partnership with the Architecture team to ensure solutions are right-sized and deliverable within agreed commercial boundaries, and you will be the senior escalation point for clients when engagements encounter turbulence.

Core Responsibilities

• Delivery Ownership & Commercial Management
• Pre-Sales & Scoping
• Client Relationship Management
• Team Leadership & Development
• Methodology, Tooling & Repeatability

Requirements

Experience

• 7+ years in data engineering, ML/AI engineering, or a closely adjacent technical discipline
• 3+ years in an engineering leadership or delivery management role within a professional services, consulting, or systems integration firm
• Demonstrated experience owning fixed-price or outcome-based client engagements — you understand the commercial mechanics and have managed both successful projects and recoveries
• Track record of building and developing high-performing engineering teams in a client-delivery context
• Experience supporting pre-sales processes, including scoping, estimation, and proposal development

Technical Skills

• Strong working knowledge of modern cloud data platforms (e.g., Databricks, Microsoft Fabric, BigQuery, etc.) and the patterns used to build production data solutions on them
• Familiarity with AI and ML engineering — including model deployment, MLOps, and practical application of LLMs (RAG pipelines, prompt engineering, API integration)
• Proficiency in Python and SQL; hands-on familiarity with dbt, Airflow, Spark, or equivalent transformation and orchestration tooling
• Ability to read, review, and provide meaningful technical feedback on engineering work — you may not be coding day-to-day, but you can tell good from poor solution design
• Understanding of DataOps principles: CI/CD for data, data quality frameworks, testing, and observability in production

Commercial & Delivery Skills

• Sharp commercial instincts — you understand how fixed-price projects make or lose money and can translate that understanding into the daily decisions your team makes
• Strong estimation and risk assessment skills; you know how to build contingency into a scope without pricing yourself out of a deal
• Experienced with SOW structure, acceptance criteria definition, and change order management
• Comfortable with project financial reporting — burn rates, margin tracking, and forecasting at the portfolio level

Leadership & Client Skills

• Confident, credible communicator with senior client stakeholders — you can hold a room, navigate difficult conversations, and maintain trust under pressure
• Empathetic people manager who develops engineers as whole professionals, not just technical contributors
• Organized and decisive — you manage ambiguity well, prioritize across competing demands, and keep your team focused on what matters
• You bring calm to a crisis. When an engagement is at risk, you stabilize, assess, and lead a recovery rather than escalating the problem upward

Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.