Senior Manager, Solution Engineering
Listed on 2026-03-07
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IT/Tech
AI Engineer, Data Science Manager
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Job Category:
Sales
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Role OverviewWe are hiring a Senior Manager, Solution Engineering to lead and elevate a high-performing Financial Services SE team while shaping our customers' path into a new era of Data Foundations spanning integration, data management, governance, and AI-driven outcomes. This role is not about managing activity. It is about setting the bar, coaching excellence, and driving strategic impact at the intersection of business, data, and technology.
You will be accountable for how our SEs show up with customers, how they partner with Sales, and how confidently we lead executive-level conversations around modern data architectures and AI-enabled transformation. You will play a critical role in positioning Mule Soft, Informatica, Data
360, and AI as a cohesive, outcome-driven Data Foundation strategy for Financial Services institutions.
- Build and Lead an Elite SE Team
- Recruit, develop, and retain top-tier Solution Engineers aligned to Financial Services use cases and customers
- Set clear expectations for technical excellence, executive presence, and customer impact
- Observe SEs in live customer engagements and deliver direct, actionable coaching
- Address underperformance early and decisively while actively developing future leaders
- Empower the team to bring their best every day – Passion, Innovation, Attitude, Creativity
- Help remove obstacles that prevent the SEs from performing to their best
- Drive the Data Foundations Vision
- Lead the technical and narrative strategy for Data Foundations across integration, data, governance, and AI
- Ensure SEs can clearly articulate how Mule Soft, Informatica, Data
360, and AI work together to enable Trusted data, Scalable architectures, AI-ready platforms, Measurable business outcomes - Translate complex architectural concepts into executive-level value discussions for CIOs, CDOs, CTOs, and line-of-business leaders
- Be a Strategic Partner to Sales Leadership
- Partner with AEs, RVPs, and AVPs on account strategy, opportunity prioritization, and resource alignment
- Actively inspect pipeline and deal execution quality—not just coverage
- Anticipate technical, data, and organizational risks before they surface in deals
- Ensure SE engagement drives confidence, differentiation, and technical wins
- Own Thought Leadership and Standards
- Develop and enforce standards for discovery, solutioning, presentations, and demos
- Shape Financial Services-specific points of view, use cases, and narratives around data and AI
- Ensure content and guidance provided to Sales and SEs is high-quality, coherent, and field-ready
- Remain personally accountable for the substance and quality of strategic deliverables—not delegated synthesis
- SEs consistently demonstrate executive presence and technical credibility in front of customers
- Sales leadership actively seeks your partnership and trusts your judgment
- Data Foundations conversations move beyond tools to outcomes, architecture, and strategy
- Your team produces repeatable wins, differentiated POVs, and confident customer engagements
- The organization feels a clear step-change in capability, rigor, and professionalism
- Drive and maintain consistent operational rigor
- 8+ years in Solution Engineering, Technical Pre-Sales, or Solutions Architecture, including people leadership
- Deep experience in Financial Services (banking, insurance, capital markets, fintech, or…
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