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Lead the development and operationalization of AI and Intelligence Platform strategies while advising C-suite on data and AI transformation. Shape offerings, support sales, and ensure successful delivery integration across teams.

The Territory Director is responsible for scaling sales, building relationships with partners, sourcing new customers, and managing key accounts strategically within the Chicago region.

The Director of AI/ML will lead the creation of a new Agentic Delivery Center in India, transforming client needs into scalable AI/ML solutions while ensuring project success and value delivery. Responsibilities include collaborating with leadership, defining architectural standards, and mentoring teams._

As a Data Engineer, you will design and implement cloud data platforms and pipelines, ensuring secure, scalable solutions for analytics and AI. Responsibilities include client delivery, collaboration with teams, leadership in architecture workshops, and contributing to internal initiatives.

Drive delivery excellence and customer success by leading the architecture and implementation of AI/ML solutions while ensuring account growth and client engagement.

As a Solutions Architect at phData, you'll lead the design and implementation of cloud-native data platforms, driving optimization and automation for clients using AWS, Azure, and Snowflake.

The RVP will lead the strategic partnership with Anthropic, driving revenue growth, aligning teams, and fostering executive-level relationships to enhance market strategies and client engagement.

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.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.