Jobs at phData

Lead IT operations to ensure reliability, security, and performance of cloud systems, end-user devices, and collaboration platforms. Provide end-to-end employee support, administer identity, endpoint and device management, drive migrations and automation, manage IT asset governance, participate in audits, and cover rotational shifts and weekend on-call duties to support a global workforce.

Lead end-to-end architecture and hands-on delivery of production-ready agentic AI solutions for enterprise clients. Design reusable accelerators, reference architectures, evaluation and guardrail strategies, and cloud-native deployments. Translate ambiguous business needs into scalable, secure, observable systems while collaborating with engineers, data scientists, platform teams, and stakeholders. Mentor team members, establish delivery standards, support consulting engagements, and advise senior clients on AI roadmaps and strategic initiatives.

Designs scalable enterprise Data and AI architectures, leads client discovery and technical engagements, advises stakeholders, and guides engineering teams from architecture through production deployment. Responsibilities include technical documentation, implementation planning, risk mitigation, AI-enabled engineering practices, client AI adoption guidance, mentoring, design reviews, and technical enablement.

Lead and oversee multiple high-visibility data and AI programs, managing scope, timelines, budgets, resources, and client relationships. Ensure governance, risk mitigation, financial forecasting, and executive communications while mentoring PMs, driving account growth, and implementing process improvements and delivery best practices.

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.

Serve as executive-level technical leader and CTO-like advisor for strategic accounts: define architecture and roadmaps, drive delivery quality and expansion, mentor teams, align partners, and ensure client success and revenue growth.

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

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

Leads phData’s Anthropic private equity vertical, owning commercial strategy, fund and portfolio-company relationships, AI value-creation frameworks, engagement origination, and client outcomes. Translates Claude and broader data and AI capabilities into measurable EBITDA improvement, operational efficiency, and exit readiness. Builds scalable playbooks, account plans, financial models, and multi-year programs while partnering with Anthropic field teams and mentoring delivery leaders.

Lead architecture, operation, and continuous improvement of cloud-native, enterprise-scale data platforms (Snowflake, cloud storage, streaming). Translate requirements into roadmaps, design and optimize data warehouses and lakes, automate operations with Python and IaC, mentor engineers, and deliver managed services across multiple client accounts while driving reliability, security, and performance.

Lead design, implementation, and optimization of cloud-native data platforms (Snowflake, AWS, Azure) for managed-services clients. Translate business requirements into secure, scalable architectures, drive migrations and performance tuning, and provide hands-on technical leadership. Collaborate with cross-functional teams, mentor junior engineers, and contribute to best-practice frameworks, automation, and pre-sales efforts.

Own technical delivery and reliability of cloud-native data platform environments on AWS/Azure for managed clients. Implement and maintain IaC and CI/CD, monitor and resolve production pipeline issues, collaborate with architects and stakeholders, produce runbooks and documentation, mentor peers, and contribute reusable IaC and automation for Elastic Platform Operations.

Lead operation, reliability, and continuous improvement of cloud data platforms (streaming, lakes, warehouses). Provide architecture and hands-on operational support, collaborate cross-functionally, drive automation, mentor engineers, and act as trusted advisor for enterprise clients.

Lead design, implementation, and optimization of cloud-native data platforms (Snowflake, AWS, Azure) for managed-services clients. Translate requirements into secure, scalable architectures, drive migrations, performance tuning, automation, monitoring, and mentor engineers while collaborating with sales, engineering, and executive stakeholders to maximize platform ROI and delivery excellence.

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%.

Designs and delivers end-to-end data engineering solutions for enterprise clients, including production implementation, data integration, SQL optimization, cloud data platforms, automated transformation, orchestration, testing, deployment, and documentation. The role also requires client-facing communication, technical presentations, solution roadmaps, proof-of-concept development, and collaboration to ensure performance, security, scalability, and reliability.

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.

Lead and be accountable for complex AI and data programs as primary client contact. Orchestrate multi-geo teams and partners, translate strategy into roadmaps, manage scope and engagement financials, mitigate delivery risk, coordinate ecosystem partners, coach delivery staff, and iterate phData methodologies to ensure measurable client outcomes.