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Analyze complex datasets, build dashboards, data models, reporting systems, KPIs, and scalable analytical processes. Apply LLMs and AI tools to data processing, ensure data quality, identify business opportunities, and communicate actionable insights. Partner with Product, Sales, Solutions, Finance, and leadership to solve business challenges and support strategic decisions.

Leads and develops a software engineering team building scalable AI platform features. Responsibilities include coaching, technical execution, architecture, testing, security, reliability, cloud services, hiring, production excellence, cross-functional product collaboration, and adopting AI-enabled development practices.

Design, develop, and implement AI-driven automation tools for contact centers. Collaborate with developers and AI experts in an agile environment.

Owns end-to-end delivery of complex AI and voice-agent deployments, from discovery and solution design through configuration, testing, launch, optimization, and stable production. Leads client stakeholder alignment, deployment planning, cross-functional coordination, scope management, user acceptance testing, and post-launch performance analysis. Translates deployment learnings into scalable playbooks and product recommendations while working hands-on with LLMs, prompts, integrations, and technical tools.