Top Tech Jobs & Startup Jobs

As a Principal Solution Architect, lead the design and implementation of cloud-native data solutions across AWS and Azure, manage technical teams, provide architectural guidance, and enhance customer data platforms through automation and optimization.

Manage cloud-native data platforms, provide architectural guidance, improve customer data solutions, automate processes, and lead technical teams.

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.

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

Lead AI governance assessments and design scalable governance frameworks, operating models, and FinOps guardrails. Drive multi-workstream client engagements, executive alignment, governance metrics, tool recommendations, and integration with engineering and platform teams. Mentor consultants, support sales pursuits, and represent phData as a thought leader on AI governance.

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 Principal Product Manager, AI & Data is responsible for leading the vision and roadmap for data and AI solutions, managing client relationships, aligning data strategies with business goals, and overseeing cross-functional teams and agile project management.

Lead product management for data and AI platforms: translate business goals into requirements, prioritize backlogs, track KPIs, drive cross-functional agile delivery, ensure quality and adoption, and communicate with stakeholders. Senior and Lead levels own workstreams or engagement-level product vision and contribute to proposals and client strategy.