Applied AI Solution Owner

Applied AI Solution Owner – Inspire11

Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible. 

We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture. 

We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect: 

• Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset
• Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs 
• Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events 

What you can expect in this role:

• Lead end-to-end delivery of custom AI/ML engagements, from initial scoping through production deployment: managing timelines, budgets, and client expectations across the full lifecycle 

• Serve as the connective tissue between client stakeholders and the technical team, translating business problems into feasible AI/ML approaches  

• Proactively identify delivery risks before they surface: data readiness issues, scope assumptions, approach feasibility, and organizational gaps 

• Lead scoping, estimation, and SOW development for custom AI/ML builds, validating technical accuracy and realistic delivery commitments 

• Challenge and pressure test technical approaches proposed by DS and MLE team members 

• Build and maintain trusted client relationships, managing expectations through the ambiguity that is inherent in AI/ML delivery

  Share