Lead Solution Owner

As a Lead Solution Owner, you’ll own the end-to-end success of key data and AI solutions—bridging client business goals with modern data platforms and products. 

Core Responsibilities

• 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.

Qualifications

• 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—directly or through influence—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.
• Solid 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.