





Strong Tier-1 brand but senior, niche GenAI role reduces broad applicant density.
Technical GenAI and data architecture skills are transferable but consulting leadership favors relevant industry experience.
Explicit 10-year requirement plus mandatory technical, cloud, AI, leadership, and compliance filters.
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Lead creation and execution of data architecture strategies ensuring alignment with business needs.
Drive innovation and thought leadership in data and analytics engineering, promoting advanced AI and cloud solutions.
Oversee compliance with data governance and security protocols while facilitating cross-functional collaboration.
Bachelor's Degree required.
Minimum 10 years of work experience in relevant data, AI, or analytics engineering roles.
Proficiency in Python, SQL, and relational databases mandatory.
Travel requirement up to 80% (explicitly mentioned).
Experienced senior professional with strategic ownership in data architecture and AI-driven solutions.
Strong knowledge of cloud platform certifications and hands-on skills in cloud data storage, IAM, and scalable systems.
Ability to translate complex data needs into technical plans and lead multi-disciplinary teams in compliance-driven environments.