Jobs at phData

Leads complex data and AI programs as the primary client and partner contact. Owns roadmaps, delivery plans, scope, budgets, margins, forecasting, risks, change control, and measurable outcomes across multi-geo teams. Builds executive relationships, coordinates technology partners, navigates delivery trade-offs, coaches program leaders, and improves consulting delivery methodologies.

Leads complex client-facing AI and data programs from strategy through delivery, coordinating multi-geo teams and partners. Owns roadmaps, budgets, margins, risks, escalations, client outcomes, and executive communications. Partners with technical leads to align delivery with business value, monitors account health and AI adoption, identifies expansion opportunities, and coaches project managers and consultants. The role requires consulting experience, strong program management skills, familiarity with modern data and AI platforms, and willingness to travel up to 10% monthly.

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.

Lead the strategy, delivery, and continuous improvement of data and AI platforms and products. Translate business goals into requirements, user stories, backlogs, and measurable KPIs. Coordinate agile cross-functional teams, ensure quality and adoption, manage client and executive stakeholders, surface risks, and drive alignment. The role owns product workstreams within consulting engagements and requires strong data and AI platform knowledge, consulting experience, and significant end-to-end product ownership.

Lead client discovery, design scalable enterprise Data and AI architectures, and advise technical stakeholders on architecture, tooling, and implementation trade-offs. Own delivery from solution design through production deployment, guide engineering teams, manage technical risks, and apply AI throughout the software delivery lifecycle. Mentor engineers through design reviews and coaching while contributing to hiring, onboarding, and technical enablement.

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.

Lead defined client relationships, workstreams, delivery alignment, and expansion opportunities for a strategic enterprise account. Translate business priorities into data, analytics, cloud, and AI roadmaps; coordinate Sales, Delivery, technical teams, Finance, and partners; lead executive conversations, workshops, QBRs, proposals, and pursuits; monitor risks and outcomes; and contribute to account governance, playbooks, and team mentorship. The role is based in Atlanta or requires relocation and involves up to 50% travel.

Own a portfolio of strategic accounts, driving client delivery, revenue growth, profitability, and executive relationships. Translate AI and data objectives into programs involving platforms, pipelines, governance, analytics, and machine learning. Lead account strategy, executive meetings, QBRs, governance, risk resolution, partner collaboration, and delivery oversight. Contribute to sales enablement, industry playbooks, thought leadership, and practice standards while mentoring team members.

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.

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.

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.

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 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.

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.

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.