Growth Platforms AI Product Director

EY-Parthenon

Los Angeles (CA)

Hybrid

USD 205,000 - 235,000

Full time

3 days ago

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Benefits offered by this job

Hybrid work model

Competitive compensation

Paid time off

Job summary

EY-Parthenon is seeking an AI Product Management Director to lead the development of data-driven, AI-powered agent applications that surface strategic insights for Fortune 500 clients. You’ll collaborate with AI/ML engineers, data scientists, and business stakeholders to translate needs into functional specs and scalable solutions.

You’ll own the product roadmap, define MVPs, and ensure secure, compliant delivery across dashboards, APIs, notebooks, or alerts, while guiding multi-source data

Qualifications

Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or a graduate degree with ~3 years of related work experience.
Product management experience, ideally in data-intensive or AI/ML-driven platforms.
Strong experience and understanding of data product lifecycle — ingestion, cleaning, merging, modeling, serving.
Proven experience leading products at the intersection of business insight, data science, and engineering.
Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
Familiarity with agentic AI workflows, RAG, or data fusion for insight delivery.
Ability to communicate clearly across technical and non-technical stakeholders.
Willingness to travel and work extended hours when necessary.

Responsibilities

Lead the development of data-driven, AI-powered agent applications surfacing strategic insights across industries.
Collaborate with engineering leads to build multi-source insight workflows and translate customer needs into functional product specs, agent behavior, and user experiences (API, dashboard, or embedded AI).
Own product roadmap and prioritize use cases based on feasibility, impact, and data availability.
Work with AI/ML engineers to validate model fit, feature strategy, and insight generation logic.
Partner with DevOps/Platform teams to ensure secure, scalable, compliant delivery of outputs.

Skills

Product management

Data product lifecycle

AI/ML collaboration

Stakeholder communication

Travel willingness

Education

Bachelor’s degree in a related field

Graduate degree

Tools

Microsoft Copilot

Job description

You’ll own the product roadmap, define MVPs, and ensure secure, compliant delivery across dashboards, APIs, notebooks, or alerts, while guiding multi-source data

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