Director, AI & Data Product Management

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India, and LATAM

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

Required 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.