Delivery Solutions Architect for Life Sciences & AI Platform

United States Digital Space LLC

United States

Hybrid

USD 180,000 - 248,000

Full time

12 days ago

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Benefits offered by this job

Annual bonus
Equity eligibility
Comprehensive benefits

Job summary

the company is seeking a Delivery Solutions Architect to drive adoption of the Data Intelligence Platform across strategic customers. You will be the post-sale technical lead, coordinating with sales, field engineering, and professional services to accelerate value realization and production readiness.

You will engage with executives, manage complex programs, and translate business outcomes into technical actions, traveling up to 30% as needed.

Qualifications

  • 5+ years accountable for technical project/program delivery in Data and AI
  • Experience in a customer-facing pre-sales/technical role
  • Understanding of distributed data systems and how to tie business value to deliverables
  • Ability to run discovery workshops, create strategic roadmaps, and manage complex programs

Responsibilities

  • Collaborate with sales and field engineering to accelerate platform adoption
  • Lead post-technical win strategy and execution across strategic accounts
  • Be the accountable technical leader for specified use cases across multiple teams
  • Engage with executives and stakeholders to communicate status, risks and opportunities
  • Coordinate with Professional Services and product/engineering for production onboarding and adoption

Skills

Python
SQL
Scala
Customer-facing experience
Data & AI domain knowledge

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent

Job description

the company is seeking a Delivery Solutions Architect to drive adoption of the Data Intelligence Platform across strategic customers. You will be the post-sale technical lead, coordinating with sales, field engineering, and professional services to accelerate value realization and production readiness.

You will engage with executives, manage complex programs, and translate business outcomes into technical actions, traveling up to 30% as needed.

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