
Oliver Wyman – (Senior) Technical Business Partner (m/f/d) – Quotient AI Specialist – Madrid
Marsh & McLennan Companies2 hours ago
Madrid, SpainSenior
Responsibilities
- Translate consulting needs and ambiguous business problems into technically sound solution designs for engineering delivery.
- Shape technical direction, assess feasibility and scalability, and align solutions with business objectives.
- Orchestrate engineers across the backlog and coordinate priorities, ownership, and timing.
- Work with the Business Analyst to convert incoming demand into prioritized technical and delivery work.
- Recommend infrastructure setups and go-to-market angles for business-development opportunities.
- Identify and help develop reusable assets, platforms, products, and accelerators with delivery teams and external partners.
- Participate in client and partner discussions to explain technical options and demonstrate technical credibility.
- Package delivered work so it can be reused, scaled, and commercially offered again.
- Balance speed, quality, reuse, and commercial value in technical decisions.
Requirements
- Senior-level experience spanning business and technical delivery, ideally combining consulting, solution design, and engineering coordination.
- Track record of translating ambiguous business problems into deployed technical solutions.
- Experience orchestrating or leading technical teams in a fast-moving, high-variety environment.
- Strong understanding of modern AI, including agents and LLM applications, and the requirements for scalable and reusable solutions.
- Ability to communicate effectively with executive audiences and engineering teams.
- Strong commercial judgment and ability to connect technical choices to business value.
- Full professional English; Spanish is strongly preferred.
- Consulting experience combined with hands-on technical delivery experience is preferred.
- Familiarity with productization and asset-based or as-a-service commercial models is preferred.
- Experience with reusable assets, platforms, or accelerators is preferred.
- Experience supporting go-to-market or business-development activity through technical solutioning is preferred.
Benefits
- Meaningful work on AI-enabled pre-client initiatives that strengthen proposals and create reusable capabilities.
- Opportunity to develop leadership, consulting judgment, AI delivery depth, and product-minded technical thinking.
- Exposure to a newly created team and a pilot capability built to scale.
- Collaborative, inclusive, and flexible work environment.
- Hybrid work arrangement with remote flexibility, while colleagues are expected to work in their local office or onsite with clients at least three days per week; office-based teams identify at least one weekly anchor day.
- Interview process includes a screening conversation, a technical exercise, two to three team-fit and craft interviews, and an offer stage.
Categories
AI ApplicationsSolutions Engineering