Jobs at phData

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.

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.

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.

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 activation and end-to-end delivery for Anthropic-focused accounts, build account plans and use-case backlogs, advise senior stakeholders on AI roadmaps, drive expansion, mentor team members, and contribute to internal playbooks to scale generative/agentic AI engagements.

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.

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.

Lead product strategy and delivery for data and AI platforms: convert business goals into requirements and roadmaps, manage agile execution across cross-functional teams, define and track KPIs, ensure quality and adoption, drive stakeholder alignment, and own day-to-day product workstreams within client engagements.

Serve as the business-facing lead to identify, frame, and validate high-value AI and data opportunities. Run discovery workshops, define KPIs and business cases, prototype using low/no-code and AI tools, partner with technical teams to deliver MVPs, and drive adoption and scale with executive storytelling and change guidance.

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

Lead architecture and continuous security improvement of enterprise Snowflake platforms. Build proactive monitoring and threat detection, integrate Snowflake telemetry with SIEM, perform threat modeling and remediation, guide governance and access controls, and drive managed services automation and runbooks while mentoring engineers.

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.

Lead client-facing data and AI programs, translate strategy into delivery roadmaps, manage multi-geo teams, budgets, risks, and stakeholder communications, and drive measurable business outcomes and account expansion.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.