[Hiring] Director of AI and Data 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, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Enterprises are investing in AI and data platforms at a record pace. Few have the product leadership to turn that investment into measurable outcomes. phData is changing that, and we need a Director to lead the way.

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, serving as engagement leader on key programs.
  • Translate complex client requirements into scalable product strategies.
  • Define and enforce specification quality, backlog standards, and adoption KPIs across all team engagements to drive root-cause fixes.
  • 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 that meets and/or exceeds the standard for delivery excellence.
• 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 that connects product management to measurable business outcomes.
  • 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; ensure AI fluency translates to measurable business value.

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) and the ability to guide strategic product decisions at that level.
• 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; ability to evaluate and enforce AI adoption standards across a portfolio.
• Demonstrated pre-sales track record; SOW development, executive proposals, and closing consulting engagements.
• Strong executive communication and storytelling skills; able 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.
• Experience at a top-tier data, AI, or management consulting firm preferred.
• Prior experience working in global or remote teams and partnering across the U.S., LATAM, and/or India.
• Willingness and ability to travel up to 50% (10 of 20 days per month).

Success Measures for this Role

• 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.

Benefits

• phData celebrates diversity and is committed to creating an inclusive environment for all employees.
• We are proud to be an equal opportunity employer.
• We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.
• If you would like to request an accommodation due to a disability, please contact us at People Operations.