Lead Solution Owner, AI & Data Products
phData
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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
- 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
- Competitive salary
- Remote work options
- Professional development opportunities
- Generous paid time off
- Health insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementdata analyticsAI platformsdata modelingsemantic modelingcloud data platformsAI/ML applicationsdata architecturedata governanceagile methodologies
Soft Skills
client relationship managementcommunicationproblem-solvingdecision-makingleadershippresentation skillsinterpersonal skillsstakeholder managementanalytical skillsadaptability