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phData

Managed data engineering and ML solutions

Forward Deployed Strategist

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years of consulting experience with a passion for technology-driven process optimization.
  • Exceptional written and verbal communication skills, including executive storytelling, workshop leadership, active listening, and business-case development.
  • Demonstrated ability to build trust with business executives, functional leaders, and end users in ambiguous, fast-moving environments.
  • Strong consulting presence with the ability to facilitate productive conversations, challenge assumptions constructively, and guide clients toward practical decisions.
  • Experience translating ambiguous business problems into structured problem statements, use cases, hypotheses, and minimum viable product scopes.
  • Ability to connect solution ideas to measurable business value through key performance indicators, return-on-investment logic, adoption metrics, cycle-time improvements, risk reduction, and time-to-value framing.
  • Experience partnering with technical teams to move from business requirements to prototypes, pilots, and scalable solutions.
  • Comfort working hands-on with artificial intelligence copilots, analytics tools, workflow tools, and low/no-code platforms to accelerate discovery, prototyping, and validation.
  • Deep empathy for users and a willingness to immerse in how work gets done, including exceptions, workarounds, and organizational friction.
  • High ownership, sound judgment, and comfort making progress without perfect requirements.
  • A bachelor's degree in business, analytics, engineering, information systems, or design, or equivalent practical experience.

Responsibilities

  • Quickly understand and internalize client challenges, constraints, stakeholder dynamics, and workflow realities.
  • Identify high-value opportunities by immersing in business operations and uncovering messy, manual, cross-functional workflows that can be addressed with artificial intelligence solutions.
  • Translate ambiguous business problems into clearly framed problem statements, use cases, hypotheses, and minimum viable product scopes that can be validated quickly.
  • Lead workshops, interviews, working sessions, and art-of-the-possible conversations that create alignment, momentum, and a practical path forward.
  • Bring a user-centered design mindset to the solution identification process.
  • Define success using business key performance indicators and quantify measurable business value to justify investment in minimum viable products and solutions.
  • Maintain a transparent link between use cases, expected outcomes, and the client's broader technology roadmap.
  • Build strong relationships with business executives, functional leaders, and end users through clear communication, active listening, and productive decision facilitation.
  • Bridge business needs and technology by developing balanced technical, organizational, and process recommendations, compelling narratives, and rigorous business cases for artificial intelligence and data investments.
  • Translate between business and technical teams, helping stakeholders understand trade-offs, risks, dependencies, timelines, and the path from minimum viable product to scaled solution.
  • Prototype and iterate solutions using low-code/no-code and artificial intelligence-assisted tools to showcase value early.
  • Work closely with phData technologists to bring solutions to life quickly and frame their business value for stakeholders.
  • Surface platform, data, workflow, and operating-model gaps that must be addressed to scale successful patterns beyond the minimum viable product.
  • Help clients rethink how work gets done by driving adoption-minded solution design and effective change communication.
  • Serve as the consulting-forward, business-facing lead for the work, helping manage scope and risk while maintaining executive-level stakeholder relationships.
  • Create alignment around priorities, next steps, and decision points so discovery, prototyping, and scaling efforts remain focused on measurable outcomes.
  • Partner with client and phData teams to move validated ideas toward scalable delivery and broader organizational impact.
  • Work alongside clients in person as needed to drive business outcomes.

Desired Qualifications

  • A master's degree in business administration (MBA).
  • Exposure to modern data and artificial intelligence platforms, self-service analytics, workflow automation, or low-code/no-code tooling.
  • Experience building business cases for new technology investments and influencing executive stakeholders.
  • Experience working alongside engineers, solution architects, or delivery teams in client-service environments.
  • Familiarity with change management, adoption planning, or operating-model design.

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

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