AI Solutions Lead
SKILLS
FULL DESCRIPTION
AI Solutions Lead
At [Employer hidden — sign up to reveal], the AI Solutions Lead ensures we focus on solving the right business problems — not just building sophisticated technology. This role sits at the intersection of business strategy and AI delivery, translating ambiguous business demand into clear, actionable problem statements that data science and engineering teams can execute against.
Differentiator: A highly experienced problem-solver who combines structured thinking with strong product intuition and a bias toward action. Operates effectively in ambiguity, making decisions with incomplete information.
Key Tasks
Business Discovery & Problem Framing
- Lead structured discovery with commercial leaders, operations teams, and regional stakeholders to uncover the real business problem behind stated requests.
- Challenge assumptions and apply strong judgment to determine whether AI, analytics, automation, or a simpler solution is the right intervention.
- Drive alignment on clear problem definitions, focusing on decisions to be improved, users impacted, and measurable business outcomes.
Translating Demand into Buildable Briefs
- Convert business needs into crisp, build-ready problem briefs that clearly articulate the problem, target users, success metrics, and a realistic first version deliverable in 3–4 weeks.
- Ensure technical teams receive sufficient context without over‑specifying solutions prematurely.
Rapid Discovery & Early Validation
- Run rapid discovery sprints with data scientists and engineers, combining stakeholder input, data exploration, and early prototyping.
- Maintain a strong bias toward tangible outputs — prototypes, early insights, or simple working versions.
Delivery Oversight & Value Realization
- Stay engaged through development to ensure solutions remain aligned with business needs.
- Define success metrics upfront and lead user acceptance testing (UAT).
- Drive adoption by working with stakeholders to embed solutions into workflows.
Demand Management & Prioritization
- Own and manage the pipeline of incoming AI and analytics demand across the organization.
- Partner with leadership to prioritize initiatives based on business value, feasibility, and strategic alignment.
Qualifications & Key Requirements
Education Level: Bachelor’s degree in business, Engineering, Data/Analytics, Computer Science, Economics, or a related field.
Experience Level: 5–8 years’ experience in management consulting, strategy, product operations, or adjacent roles. Proven ability to translate complex business problems into actionable initiatives.
Skills: Problem structuring, product thinking, stakeholder management, AI/analytics literacy, business case development, prioritization, facilitation, communication, data-driven decision-making, user-centric design, change management.
Additional Information
This role is a Global role, Candidates do not need to be based in Bonn (Remote working)
Management responsibility: Manage a department or a small unit that includes multiple teams.