Jobs at phData

Leads client discovery, architecture, and delivery of enterprise Data and AI solutions from initial design through production deployment. Advises executives and technical stakeholders on platforms, tooling, trade-offs, and AI adoption; guides engineering teams, manages technical risks, creates architecture documentation, and mentors engineers. Requires deep cloud, data engineering, AI, consulting, and modern software delivery expertise.

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.

Leads AI and data product management engagements across client portfolios, owning delivery quality, scope, financial performance, roadmaps, and adoption KPIs. Manages staffing, recruiting, utilization, and team performance while driving go-to-market strategy, pipeline, revenue, presales, and consulting engagements. Establishes product management standards, AI-assisted workflows, and reusable delivery frameworks, partnering with executive stakeholders to scale products from MVP to production.

Leads complex data and AI consulting programs as the primary client and partner contact. Owns delivery outcomes, roadmaps, scope, budgets, margins, forecasting, risks, change control, and executive communications. Coordinates multi-geo teams and technology partners, coaches delivery professionals, manages ambiguity and trade-offs, and drives measurable business impact through Agile delivery.

Leads complex, client-facing data and AI programs from strategy through delivery. Responsibilities include managing roadmaps, scope, budgets, margins, risks, forecasting, change control, executive communications, partner coordination, and measurable outcomes. The role orchestrates multi-geo teams, coaches delivery professionals, manages stakeholder relationships, and improves delivery methodologies across consulting engagements.

Design, build, deploy, and operate production-ready AI and machine learning systems for enterprise customers. Translate architectures and requirements into tested code, data and model pipelines, APIs, and AI applications. Implement predictive ML, generative AI, LLM, agentic, and intelligent automation solutions with evaluation, monitoring, guardrails, security, and governance. Integrate solutions with enterprise platforms and contribute reusable accelerators, engineering standards, and technical playbooks while collaborating with architects, data scientists, engineers, stakeholders, and clients.

Leads complex client-facing data and AI programs from strategy through delivery, coordinating multi-geo teams and partners. Owns roadmaps, budgets, margins, risks, escalations, utilization, change control, and executive communications. Partners with technical leaders to connect delivery with measurable business outcomes, identifies account expansion opportunities, and supports coaching and AI-augmented delivery practices. The role requires managing multiple customers and workstreams across cloud, analytics, data platforms, and AI/ML environments.

Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.

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.

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%.