P

phData

Managed data engineering and ML solutions

AI Services Lead - Client Services

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • 6–10+ years of experience in a hybrid delivery/sales role within consulting or professional services, with responsibility for scoping service engagements and accountability for project success, or direct accountability for strategic account growth and executive engagement.
  • Demonstrated experience owning both delivery quality and account growth on the same engagement.
  • Track record in scoping and delivering services engagements worth $50K–$1M.
  • History building account plans and roadmaps that carry a single pilot into a broader rollout, such as multiple phases or multi-workstream programs.
  • Comfort stepping into an account shortly after it is landed and immediately owning activation and expansion, even without having sourced the account or owned the channel relationship.
  • Strong relationships with senior client stakeholders in IT and line-of-business functions, and a track record of becoming a trusted advisor to leaders such as CIOs, CTOs, or CDOs.
  • Ability to structure complex problems and drive them to resolution in a matrixed environment.
  • Willingness to travel up to 50% based on client needs.
  • Hands-on AI and data competency sufficient to identify use cases and delivery risk for agentic AI, large language model, and data solutions, such as retrieval-augmented generation, Model Context Protocol-style servers, agent orchestration, evaluations, and data architecture.
  • Direct experience with Anthropic Code, Cowork, or Enterprise, or a comparable large language model or agentic AI platform.

Responsibilities

  • Lead activation for newly landed Anthropic-focused accounts, moving them from initial interest into well-scoped, active engagements aligned with client AI and data maturity.
  • Own end-to-end delivery oversight for accounts and stay close enough to identify technical and delivery risks early.
  • Build and maintain documented account plans and use-case backlogs that turn initial pilots or workshops into multi-phase, multi-workstream AI transformation programs.
  • Become a trusted advisor to senior client stakeholders in IT and line-of-business functions, shaping AI and data roadmaps that leverage Anthropic and related capabilities to drive measurable business outcomes.
  • Partner with Anthropic’s field team and internal Sales, Marketing, and Delivery leadership to identify, shape, and close expansion opportunities across the account portfolio.
  • Provide strategic leadership during executive meetings, quarterly business reviews, and roadmap discussions, positioning phData as a trusted advisor to business and technology stakeholders.
  • Mentor team members and foster a culture of learning, feedback, and continuous improvement.
  • Contribute to internal playbooks, account-planning frameworks, and repeatable patterns for driving AI and data outcomes.
  • Share best practices and client insights to improve phData’s engagement model and delivery excellence.

Desired Qualifications

  • Demonstrated success turning a single AI or data pilot into a multi-year, multi-million-dollar program.
  • Prior experience operating as a trusted advisor to senior technology and line-of-business leaders on AI and data strategy, roadmap design, and delivery risk.
  • Experience building formal, documented account plans and use-case backlogs specifically for generative AI or agentic AI rollouts.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size
501-1,000
Company stage
Seed
Total funding
$2.5M
Headquarters
Minneapolis, MN
Founded
2014

Recently Posted Jobs

Explore more opportunities at phData

See more jobs