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# Director, AI & Data Product Management

- **Company:** phData, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Model View Controller (MVC), Snowflake, AI-powered Productivity Tools, Agentic-AI, Data Management
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/director-ai-data-product-management--9785079e-b1a6-4d96-a879-716288e7d450

## About the Role

Artificial Intelligence (AI), Product Management, Data Management, Artificial Intelligence (AI), Amazon Web Services (AWS), Microsoft Windows Azure, Cloud Computing, Leadership, Product Strategy, Performance Metrics, * 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).

## Description

* 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, * 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.