Post-Sales Delivery Architect, Data & AI

Post-Sales Delivery Architect, Data & AI

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
WinsAbove

At a Glance

  • Tasks: Lead post-sales delivery and enhance customer success with data solutions.
  • Company: WinsAbove, a forward-thinking company focused on Data & AI.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting challenges and career advancement.
  • Why this job: Join a dynamic team and make a real impact in the data landscape.
  • Qualifications: Strong technical leadership and program delivery experience required.

The predicted salary is between 60000 - 80000 Β£ per year.

WinsAbove is hiring a Delivery Solutions Architect to enhance customer success with the Databricks platform in Greater London. You will collaborate cross-functionally to accelerate the adoption of data solutions in complex environments.

The role requires strong technical leadership, program delivery experience, and the ability to manage critical customer relationships. You will be responsible for developing comprehensive execution plans and driving onboard processes across multiple use cases.

Post-Sales Delivery Architect, Data & AI employer: WinsAbove

At WinsAbove, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages professional development. Join us to be part of a dynamic team where your contributions directly impact customer success and drive meaningful change in the data solutions landscape.

WinsAbove

Contact Details:

WinsAbove Recruitment Team

We think you need these skills to ace Post-Sales Delivery Architect, Data & AI

Technical Leadership
Program Delivery Experience
Customer Relationship Management
Execution Planning
Onboarding Processes
Cross-Functional Collaboration
Data Solutions Adoption