Manager, Delivery Solutions Architects

1 giorno fa

Varese, Lombardia, Italia DataBricks Tempo pieno
Overview As DSA Manager, you will lead a team of Delivery Solution Architects to shape post-sales delivery strategy for major customers in the SEMEA region. You'll collaborate with Sales, Pre-Sales, FDE, and Partners to drive adoption, growth, and platform value. The role blends leadership, commercial acumen, and technical depth across Databricks products, serving as a technical sponsor for select customers. You'll build a scalable DSA practice and influence regional growth and customer outcomes. Responsabilità
* Manage and coach a diverse DSA team to achieve customer, company, and team goals, including usage growth and hiring.
* Lead by example with AI tooling to deliver C-level thought leadership discussions.
* Assign accounts and distribute work for optimal coverage and balance.
* Foster a customer-obsessed mindset by understanding customer goals and use cases.
* Partner with Sales, Pre-Sales, and FDE to accelerate customer growth.
* Escalation risk management and customer risk reduction with the team.
* Monitor customer progress and forecast growth for accounts.
* Provide input to improve internal processes and customer success offerings.
* Promote cross-functional programs, planning, and documentation.
* Hire, train, and develop team members to support roadmap delivery. Requisiti fondamentali
* 10+ years in a customer-facing role.
* Experience leading teams of pre
- or post-sale consultants/solutions architects, technical account managers, or customer success engineers.
* Experience in Cloud, Data, AI domains.
* Experience delivering workloads or data products to production (delivery architect, project manager, DevOps, or service/product owner).
* Knowledge of business issues and big data use cases across industries.
* Fluent in Italian and English; additional regional languages advantageous.
* Based in Milan or within 1 hour commute.
* customer-obsessed
* leadership
* cross-functional collaboration
* Cloud and data platforms
* AI/ML tooling and adoption
* delivery architecture