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:
Mandatory Key Skills
Core Technical Skills
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Strong proficiency in Python and SQL (including stored procedures)
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Hands-on experience with cloud data platforms (Azure, Snowflake, Databricks)
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Expertise in building and managing ETL/ELT pipelines
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Experience with business intelligence tools (Power BI, Tableau, Looker)
Deep understanding of:
- Large Language Models (LLMs)
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Prompt engineering techniques
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RAG (Retrieval-Augmented Generation) architectures
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Agentic AI frameworks
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Experience designing and deploying production-grade AI solutions
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Regular usage of AI-assisted development tools in coding and delivery workflows
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Proven experience in team leadership, mentoring, and capability building
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Strong architecture and code review expertise
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Ability to communicate effectively with both technical and non-technical stakeholders
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Strong problem-solving skills with the ability to convert business requirements into scalable technical solutions
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Experience in client-facing roles and consulting environments
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Ability to articulate business impact and ROI of data and AI initiatives
Preferred Qualifications (Good to Have)
below are the Mandatory skill sets
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Strong programming expertise in Python and SQL (including stored procedures)
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Hands-on experience in building and managing ETL/ELT data pipelines
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Experience with cloud data platforms (Azure, Snowflake, Databricks)
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Solid understanding of data architecture and end-to-end data engineering workflows
Proven hands-on experience with Applied AI, including:
- Large Language Models (LLMs)
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Prompt Engineering
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RAG (Retrieval-Augmented Generation) architectures
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Agentic AI / workflow frameworks
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Demonstrated experience in building and deploying AI solutions in production environments
Regular, hands-on usage of AI-assisted development tools such as:
- Cursor
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Claude Code
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GitHub Copilot
Experience in technical leadership, including:
- Leading/mentoring engineering teams
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Solution architecture and design
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Code reviews and technical governance
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Strong understanding of data + analytics ecosystem, including BI tools (Power BI, Tableau, or Looker)
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Experience working in client-facing or consulting environments
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Ability to translate business requirements into scalable technical solutions
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Strong communication and stakeholder management skills, including explaining technical concepts to non-technical audiences
