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Tier-1 brand, mid-level generalist role, metro locations, and broad skillset drive high competition.
Requires specialised Lakehouse, analytics, governance and AI expertise, limiting cross-industry transferability.
Explicit 6+ years plus mandatory cloud, SQL/Python, and deep data/AI domain experience raises strictness.
Design and execute engagement strategies with GTM leadership and account teams across assigned territory to drive product adoption.
Serve as expert Solutions Architect, building technical credibility and enabling clients through workshops and customer-facing collateral.
Act as tier-3 technical escalation point, handling complex challenges and influencing product roadmap through data-driven insights.
6+ years in customer-facing, pre-sales or consulting role with technical executives and data strategy influence.
Proficient in SQL and Python with hands-on experience in major public cloud environments (AWS, Azure, or GCP).
Undergraduate degree or higher in technical field such as Computer Science, Applied Mathematics, or Engineering.
Experience in analytics, BI, AI/ML products, AI governance, and architecting governed analytics solutions integrating semantic models, data warehouses, and metric layers.
Experienced in co-planning large territories with Account Executives and coordinating cross-functionally across GTM and R&D teams.
Strong background working with Global System Integrators (GSIs) and third-party consulting organizations for driving customer outcomes.
Deep understanding of AI governance, security concerns and natural-language analytics within Lakehouse and AI ecosystems.