[Hiring] Director, Product Management @phData

Role Description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders to solve complex data and AI challenges that slow large enterprises. We are looking for a Director to lead the way in this rapidly growing field.

Core Responsibilities

• Delivery & Engagement Leadership:
  • Own the design, delivery, quality, scope, and financial performance of AI and data product engagements across a portfolio of client accounts.
  • Translate complex client requirements into scalable product strategies.
  • Define and enforce specification quality, backlog standards, and adoption KPIs across all team engagements.
  • Build trusted relationships with executive client sponsors (CDO, CTO, CAO, VP of Product) and shape multi-phase roadmaps from MVC to scale.
• Team Leadership & Portfolio Management:
  • Plan staffing and capacity across the practice; balance utilization, growth, and delivery commitments at scale.
  • Own the recruiting pipeline to identify, attract, and hire high-caliber talent.
• Go-to-Market & Commercial Ownership:
  • Own GTM strategy, pipeline targets, and revenue outcomes for product management.
  • Lead pre-sales engagements, including discovery sessions, executive workshops, SOW scoping, and storytelling.
  • Accountable for the development of phData's Product Management standards, delivery frameworks, and reusable assets.
  • Define AI productivity standards and evaluation models across the team.

Qualifications

• 10+ years of product management experience, with at least 3 years in a consulting, professional services, or advisory environment.
• 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 MVP to production.
• Deep understanding of the modern data and AI stack (Snowflake, cloud platforms, BI tools, agentic AI frameworks).
• Proficient in product operating models; backlog management, specification quality, KPI frameworks, Business Acceptance criteria, and Value Realization Plans.
• Experience designing AI-assisted product workflows and embedding AI productivity tools into team delivery.
• Demonstrated pre-sales track record; SOW development, executive proposals, and closing consulting engagements.
• Strong executive communication and storytelling skills.
• Experience proactively identifying delivery risks, escalating effectively, and driving root-cause accountability.
• Experience at a top-tier data, AI, or management consulting firm preferred.
• Prior experience working in global or remote teams.
• Willingness and ability to travel up to 50% (10 of 20 days per month).

Requirements

• Revenue & Growth:
  • Product bookings and revenue.
  • Product pipeline growth.
  • Net revenue retention.
• Delivery & Quality:
  • Customer satisfaction, extensions, and expansions.
  • Reduction in delivery escalations.
• Team & Practice:
  • Team utilization, growth, and performance calibration outcomes.
  • Quality and reuse of product standards, delivery frameworks, and reusable assets.
  • Measurable productivity gains from AI-assisted workflows across the team.