Lead Product Manager, AI & Data

phData

Lead Product Manager overseeing end-to-end AI & Data solutions. Collaborating with clients to enhance data maturity and decision-making processes.

Posted 4/20/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own solution vision and roadmap at the engagement level for client data and AI platforms/products: align to business objectives, surface opportunities for improvement, and help clients advance their data maturity and data‑driven decision making.
Be the primary point of contact and trusted advisor for your engagements—clarifying objectives, defining and tracking KPIs/success metrics, and ensuring outcomes map to client value and ROI.
Translate business needs into actionable technical direction: work with architects, engineers, analysts, and change leaders to define solution scope, requirements, and a product‑based approach to data investments (platform, products, applications, services).
Lead planning and execution using agile practices: coordinate cross-functional teams, timelines, and dependencies; manage risk, scope, and trade‑offs across one or more concurrent initiatives.
Establish and operationalize KPIs for business, customer, product, and teams within your engagements—monitor performance, communicate status, and drive data‑informed adjustments.
Ensure quality, adoption, and continuous improvement of solutions through testing, validation, stakeholder feedback, and iteration; work with change leaders and client stakeholders to support adoption of new platforms and products.
Contribute to business development by informing solution narratives, providing input to proposals, and occasionally joining client discussions or pitches to represent the solution and delivery perspective.
Stay current on industry trends, emerging technologies, and best practices in data, analytics, and AI, and bring relevant ideas into client engagements and internal practice work.

Requirements

What you’ll need

Significant experience in product management roles focused on data, analytics, or AI platforms and products.
Consulting experience with external clients, managing multiple priorities and stakeholders, including business development.
Strong data and AI literacy:
Hands-on experience with modern cloud data platforms and complementary tooling.
Understanding of data modeling/semantic modeling, analytics, and how AI/ML applications solve business problems.
Familiarity with data and AI architecture and governance concepts.
Proven ability to lead diverse, cross-functional teams (technical and non‑technical) in an agile environment—including analysts, engineers, architects, and change leaders.
Demonstrated strength in client relationship management:
Building trusted relationships with day‑to‑day and senior stakeholders.
Translating complex business needs into practical technical solutions.
Communicating complex concepts clearly to both technical and business audiences.
Strong grasp of agile and product development life cycles, including backlog management, iterative delivery, and KPI‑driven decision making.
Experience working within change-heavy transformations (digital, data, analytics, AI), with an understanding of change management principles and how to support adoption of new platforms and products.
Strong analytical, problem‑solving, and decision‑making skills; able to manage multiple workstreams within or across engagements and stay oriented to the “big picture” under pressure.
Excellent leadership, communication, presentation, and interpersonal skills, including crafting and delivering clear solution and strategy narratives.
Proficiency with project and product management tools and familiarity with AI‑enabled execution tooling.
Willingness to travel as required by clients.

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

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Hard Skills & Tools

product managementdata analyticsAI platformsdata modelingsemantic modelingcloud data platformsAI/ML applicationsdata architecturedata governanceagile methodologies

Soft Skills

client relationship managementcommunicationproblem-solvingdecision-makingleadershipinterpersonal skillspresentation skillsstakeholder managementadaptabilitystrategic thinking