Director Of Data & AI Engineering

Job Title

We are seeking a highly experienced and technically strong leader to head our Data & AI Engineering function.

This role will be responsible for driving the technical vision, delivery excellence, and AI-first transformation across our data engineering and analytics teams. The ideal candidate will bring a hands-on leadership approach, combining deep expertise in data platforms and applied AI with the ability to guide teams, architect scalable solutions, and deliver measurable business outcomes.

Role Summary: This position requires a strategic yet hands-on leader who can operate across data engineering, analytics, and AI, and drive the organization toward becoming a truly AI-native delivery function. The role demands a balance of technical depth, leadership capability, and business acumen to deliver impactful, scalable, and future-ready solutions.

Key Responsibilities:

• Define and implement the AI-first engineering strategy, including standards, frameworks, and best practices across all engagements
• Lead, mentor, and scale a cross-functional team of data engineers, analysts, and integration specialists
• Drive adoption of AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) as an integral part of the engineering workflow
• Design and deliver advanced AI solutions, including: LLM integrations (Large Language Model) Prompt engineering frameworks Agentic workflows RAG-based architectures
• Architect and oversee end-to-end data solutions, including cloud data platforms, ERP integrations, and reporting systems
• Act as the technical authority, providing hands-on guidance through solution design, code reviews, and engineering best practices
• Collaborate with internal stakeholders and clients to identify opportunities for AI-driven optimization and automation
• Establish and enforce data governance, quality standards, and responsible AI practices

Required Experience:

• 10+ years of experience in data engineering, analytics, or data platform development
• Minimum 5 years of hands-on experience in applied AI/ML, including LLMs and modern AI frameworks
• Proven, day-to-day experience with AI-assisted development tools (such as Cursor, Claude Code, GitHub Copilot)
• Demonstrated success in leading technical teams within consulting or managed services environments
• Strong ability to translate technical solutions into business value for stakeholders

Mandatory Key Skills:

• Core Technical Skills
• Strong proficiency in Python and SQL (including stored procedures)
• Hands-on experience with cloud data platforms (Azure, Snowflake, Databricks)
• Expertise in building and managing ETL/ELT pipelines
• Experience with business intelligence tools (Power BI, Tableau, Looker)
• AI & Advanced Capabilities
• Deep understanding of: Large Language Models (LLMs) Prompt engineering techniques RAG (Retrieval-Augmented Generation) architectures Agentic AI frameworks
• Experience designing and deploying production-grade AI solutions
• Regular usage of AI-assisted development tools in coding and delivery workflows
• Leadership & Stakeholder Skills
• Proven experience in team leadership, mentoring, and capability building
• Strong architecture and code review expertise
• Ability to communicate effectively with both technical and non-technical stakeholders
• Business & Consulting Orientation
• Strong problem-solving skills with the ability to convert business requirements into scalable technical solutions
• Experience in client-facing roles and consulting environments
• Ability to articulate business impact and ROI of data and AI initiatives