Jobs at phData

Lead complex client-facing AI and data programs from strategy through delivery, coordinating multi-geo teams and partners. Own roadmaps, budgets, margins, risks, escalations, client relationships, and measurable business outcomes. Partner with technical leaders, provide executive reporting, identify account expansion opportunities, and coach project managers and consultants. The role requires strong program management experience in consulting or professional services, familiarity with modern data and AI platforms, and willingness to travel up to 50% per month.

Leads client discovery and advisory engagements to identify high-value AI and data opportunities, frame business problems, define MVPs, quantify value, and guide prototyping and scale readiness. Builds executive relationships, facilitates workshops, translates between business and technical teams, and partners with technologists to deliver measurable outcomes and adoption-ready solutions.

Designs and evolves enterprise architecture supporting Finance, HR, Revenue Operations, and IT systems. Leads requirements discovery, process mapping, solution design, integrations, implementation, testing, data quality, governance, security, and platform optimization. Partners with technical and business stakeholders on cloud transformation, AI, automation, vendor evaluation, and modernization initiatives while providing architectural guidance and mentorship.

Leads Anthropic-focused AI consulting accounts from activation through delivery and expansion. Owns account plans, use-case backlogs, client roadmaps, delivery risk, executive relationships, and growth opportunities. Partners with sales, delivery, marketing, and Anthropic teams to turn pilots into multi-phase AI transformation programs. Requires strong consulting, account growth, AI/data, scoping, and stakeholder leadership experience, with travel up to 50%.

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.

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.

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.

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.

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.

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 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.

Design and lead end-to-end applied AI architectures (predictive ML, MLOps, generative AI, LLMs, RAG, agentic workflows), translate business needs into production-ready solutions, prototype and deliver implementations, and ensure security, observability, governance, and operational reliability.

Own territory growth in the Northeast by sourcing, co-selling with partner ecosystems, and closing enterprise data & AI services deals. Manage pipeline and forecasts, partner cross-functionally to scope and present solutions, ensure customer success, and exceed targets across Data Engineering, Managed Services, Machine Learning, and Analytics.