Director, AI & Data Product Management

phData is a remote-first data and AI consultancy company that helps enterprises solve complex data and AI challenges. The Director, AI & Data Product Management will lead the delivery, team management, portfolio operations, go-to-market strategy, and commercial performance of AI and data product engagements.

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 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
• 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
• 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

Requirements:

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