Director, AI & Data Product Management
New
J
JobgetherAI, Data, Consulting
Based in United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10+ years of product management experience, including at least 3 years in consulting, professional services, or an advisory environment.
- Required Skills
- Cloud ComputingProduct ManagementSnowflake
Requirements
- 10+ years of product management experience, including 3+ years in consulting, professional services, or an advisory environment.
- Proven track record of leading and managing product managers with accountability for utilization and performance.
- Experience managing a portfolio of client accounts with direct responsibility for financial performance.
- Demonstrated success building and scaling data or AI products from MVP through production.
- Deep understanding of modern data and AI technologies, including Snowflake, cloud environments, and agentic AI frameworks.
- Proficiency in product operating models, backlog management, KPI frameworks, and business acceptance criteria.
- Experience designing AI-assisted product workflows and embedding productivity tools into delivery.
- Strong pre-sales track record, including SOW development, executive proposals, and closing consulting engagements.
- Confidence communicating complex concepts to senior executives and board-level audiences.
- Experience working with global or remote teams across the U.S., LATAM, and/or India.
- Ability and willingness to travel up to 50%.
Responsibilities
- 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 aligned with business priorities.
- Build and maintain trusted relationships with executive sponsors including CDOs, CTOs, and VPs of Product.
- Plan staffing and capacity across the practice while balancing utilization and delivery commitments.
- Lead pre-sales activities, including discovery sessions, executive workshops, and SOW scoping.
- Develop and maintain product management standards, delivery frameworks, and reusable assets.
- Define AI productivity standards and evaluation models to ensure measurable gains.
- Monitor customer satisfaction, delivery escalations, and portfolio-level success measures.
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