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Leads Anthropic-focused client accounts from activation through delivery and expansion. Builds account plans, AI use-case backlogs, roadmaps, and multi-phase transformation programs; oversees delivery quality and risk; advises senior technology and business stakeholders; partners with sales and Anthropic teams to grow accounts; leads executive meetings and mentors team members. Requires strong consulting, AI/data, account growth, and engagement-scoping experience, with travel up to 50%.

Lead end-to-end design, delivery, and lifecycle management of production AI/ML solutions for strategic clients. Translate business requirements into scalable, secure ML architectures, drive deployments, monitoring, governance, and mentor teams while collaborating with stakeholders across sales, engineering, and data science.

The Director of Advisory will lead AI adoption and change management by driving enterprise-wide implementation of AI solutions, overseeing delivery and customer success, and contributing to thought leadership in the field.

Leads operational support, incident management, troubleshooting, and reliability improvements for Snowflake and cloud-based data and AI platforms. Monitors ETL/ELT pipelines, performs root-cause analysis, develops automation, maintains runbooks, and advises clients on performance and operational strategy. Collaborates with engineering, analytics, architecture, and client teams while mentoring peers and supporting distributed 24/7 production environments.

The Territory Director focuses on scaling phData's business by building relationships with partners, acquiring new customers, and managing account relationships. This includes driving lead generation and collaborating with team members to deliver data and AI engineering services to enterprises in their territory.

Design and lead end-to-end applied AI architectures (predictive ML, MLOps, generative AI, LLMs, RAG, agentic workflows), translate business needs into production-ready solutions, prototype and deliver implementations, and ensure security, observability, governance, and operational reliability.

Own territory growth in the Northeast by sourcing, co-selling with partner ecosystems, and closing enterprise data & AI services deals. Manage pipeline and forecasts, partner cross-functionally to scope and present solutions, ensure customer success, and exceed targets across Data Engineering, Managed Services, Machine Learning, and Analytics.