Delivery Manager/ Senior Delivery Manager
Posted on 3/22/2024

1,001-5,000 employees

Leading enterprise AI software provider
Company Overview is building tools to make AI cost-effective. The company focuses on building applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
Data & Analytics
Industrial & Manufacturing
AI & Machine Learning
Financial Services

Company Stage

Series F

Total Funding





Redwood City, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Vienna, VA, USA
Experience Level
Desired Skills
Data Science
Quality Assurance (QA)
Development Operations (DevOps)
Operations Research
Project Management
IT Consulting
Strategy Consulting
  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research or similar field
  • Minimum of 6-8 years delivery management experience with enterprise SaaS solutions
  • Experience leading engagements with substantial exposure and involvement with data science, cloud infrastructure, solution architecture, application development, and data engineering
  • Credible customer presence, capable of stepping into a trusted advisor role
  • Data-driven, analytically oriented, with a commitment to process improvement
  • Ability to successfully communicate and work with senior executive stakeholders
  • Leadership experience, the ability to enforce good project governance and promote delivery excellence
  • Effectively work across customer and internal teams to problem solve, define scope, write technical specifications, quantify and track success metrics, and manage against a plan
  • Demonstrated ability to navigate between the business and technical domains of a software implementation project, providing leadership in both
  • Excellent presentation, written, communication with keen attention to detail, and interpersonal skills
  • Collaborate with customers to craft compelling use cases that drive business value, translate use cases into requirements and specifications, validate the tractability and define the data requirements for AI use cases
  • Quantify and track value metrics that can be realized from C3 AI solutions
  • Advise executive customer stakeholders on future use case roadmap and implementation plans aligned to C3 AI solutions and drive customer success and adoption with a focus on customer retention, advocacy and expansion
  • Turn business requirements into application features and capabilities, map use cases to granular team tasks and produce detailed production project work plans
  • Lead the engagement team to perform implementation activities in collaboration with C3 AI team members from Application Development, Data Integration, Solution Architecture, Data Science, Products, QA, and DevOps
  • Dive into technical details and lead activities to ensure successful delivery to our customers (e.g., functional scoping, application and data integration quality assurance, deliver training, issue debugging and resolution)
  • Anticipate stakeholder needs, remove obstacles and accelerate the path to customer success, track and address risks before they become issues, solve delivery challenges, addressing resource contention, scoping issues and managing expectations
  • Develop high quality and polished internal and external deliverables and other documentation to enable customer success, building a trusted advisor relationship
  • Communicate effectively and proactively with customers, define and interpret the AI results in the customer’s business context
  • Provide oversight to the data science team and ensure a compelling outcome
  • Travel to customer sites (50% average)