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