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phData

Managed data engineering and ML solutions

Director – Product Management

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 10 years of product management experience, including at least 3 years in a consulting, professional services, or advisory environment.
  • A proven track record leading and managing product managers with accountability for team utilization, performance, and client satisfaction.
  • Experience owning a portfolio of client accounts with direct responsibility for delivery quality, scope, and financial performance.
  • Demonstrated success building and scaling data or AI products from minimum viable product to production.
  • Deep understanding of the modern data and AI stack, including Snowflake, cloud platforms, business intelligence tools, and agentic AI frameworks, and the ability to guide strategic product decisions at that level.
  • Proficiency in product operating models, backlog management, specification quality, key performance indicator frameworks, Business Acceptance criteria, and Value Realization Plans.
  • Experience designing AI-assisted product workflows and embedding AI productivity tools into team delivery, with the ability to evaluate and enforce AI adoption standards across a portfolio.
  • A demonstrated pre-sales track record, including statement of work development, executive proposals, and closing consulting engagements.
  • Strong executive communication and storytelling skills, with the ability to translate product complexity into business impact for CDO, CTO, and board-level audiences.
  • Experience proactively identifying delivery risks, escalating effectively, and driving root-cause accountability across multi-engagement portfolios.
  • Prior experience working in global or remote teams and partnering across the U.S., Latin America, and/or India.
  • Willingness and ability to travel up to 50% (10 of 20 days per month).

Responsibilities

  • Own the design, delivery, quality, scope, and financial performance of AI and data product engagements across a portfolio of client accounts, serving as engagement leader on key programs.
  • Translate complex client requirements into scalable product strategies.
  • Define and enforce specification quality, backlog standards, and adoption key performance indicators across all team engagements to drive root-cause fixes.
  • Build trusted relationships with executive client sponsors and shape multi-phase roadmaps from minimum viable concept to scale.
  • Plan staffing and capacity across the practice, balancing utilization, growth, and delivery commitments at scale.
  • Own the recruiting pipeline to identify, attract, and hire high-caliber talent that meets or exceeds the standard for delivery excellence.
  • Own go-to-market strategy, pipeline targets, and revenue outcomes for product management.
  • Lead pre-sales engagements, including discovery sessions, executive workshops, statement of work scoping, and storytelling that connects product management to measurable business outcomes.
  • Be accountable for developing phData's Product Management standards, delivery frameworks, and reusable assets.
  • Define AI productivity standards and evaluation models across the team, ensuring AI fluency translates to measurable business value.

Desired Qualifications

  • Experience at a top-tier data, AI, or management consulting firm.

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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