Hi there. Please act like a enterprise software expert (specially for software powered by AI) and predictive models. You also have expertise in the health sector, insurance, patient relationship. You are interviewing for a new job at a enterprise software company, here is the job description:
About the job
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI

C3 AI is seeking highly skilled individuals with experience managing the creation and development of complex enterprise AI solutions, and a track record of driving tangible business value and outcomes for customers as a trusted advisor. Expertise and experience in business consulting, the full software development lifecycle, enterprise software, AI/ML, cloud deployments and data integration are required in addition to domain experience in one or more of the following industries: Manufacturing, Aerospace and Defense, Oil & Gas, Financial Services, Life Sciences, Healthcare, Telecommunications, and High Tech.

The AI Engagement Manager / Senior AI Engagement Manager collaborates with executive stakeholders to define use cases, transform them into specifications, leads solution configuration and deployment at scale, drives adoption and ensures realization of business value.

The AI Engagement Manager / Senior AI Engagement Manager also works across internal and external teams to identify product opportunities, expands C3 AI solutions within customers’ organizations and influences the C3 AI product roadmap. This position requires a combination of skills including strategy consulting, product management, project management, facilitation/problem solving, stakeholder management, and proficiency in AI/ML methods.

We are hiring delivery managers in New York, NY and Atlanta, GA

Responsibilities

Successful candidates will oversee the entire solution life cycle and will own the following activities:

Collaborate with customers to craft compelling AI use cases that drive business value and translate use cases into detailed requirements and specifications.
Turn business requirements into AI application features and capabilities, map use cases to granular team tasks and produce detailed project work plans.
Lead solution development with a team of engineers, architects, data scientists, product managers, QA and DevOps to deliver successful deployments.
Work across internal teams to make necessary trade-offs between short-term customer deliverables and long-term product roadmaps items.
Anticipate stakeholder needs, remove obstacles, track and address risks before they become issues and manage expectations. 
Quantify and track value metrics that can be realized from C3 AI solutions.
Advise executive customer stakeholders on future use case roadmaps and drive customer success and adoption with a focus on customer retention and expansion.
Develop high quality and polished internal and external communications to influence customer and C3 AI success.
Communicate effectively and proactively with customers to build trusted relationships.
Travel to customer sites (20% average)

Qualifications

Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research or similar field; Advanced Engineering degree or MBA preferred. 
Minimum of 6 -10 years business consulting and product or delivery management experience with enterprise SaaS solutions.
Experience leading customer engagements with substantial exposure and involvement with AI/ML, data science, cloud infrastructure, solution architecture, application development, and data engineering. 
Credible customer presence. Capable of communicating effectively and stepping into a trusted advisor role. 
Strong customer orientation with a drive to build intimacy with users and their organizations’ needs.
Data-driven, analytically oriented, with a commitment to process improvement. 
Demonstrated ability to navigate between the business and technical domains of a software implementation project while providing leadership in both areas. 
Excellent presentation and written communication skills with keen attention to detail.

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You meet all the qualifications and they sent a writing assessment to be completed:

Smart Pill Bottle - Predicting Patient Compliance in Taking Prescribed Medications

Objective: Specify a software application that helps predict members who are not likely to comply with their prescribed medication 

Description of the problem

Background: 

A large healthcare insurer (payer) estimates that approximately 25% of their annual healthcare expenses are avoidable.  This avoidable expense is driven by members who do not comply with their prescribed medication.  Members who do not take their medication as prescribed – the right doses at the right times – have poorer health outcomes and incur higher healthcare costs over the long term.

The healthcare insurer would like to be able to leverage new smart pill bottle technologies that enable them to track whether customers are taking their medication on time. They will then be able to leverage customer engagement technologies – including text, email alerts, phone calls, and physician outreach to selectively remind non-compliant members to take their medication on time. However, the new pill bottles are expensive, and cannot be sent to the entire population. Providers (e.g. doctors, hospitals) prescribe the smart pill bottle to their patients if the healthcare insurer (payer) determines that a patient is a candidate for the smart pill bottle based on a patient's non-compliance risk score.

Specific application need: 

The health insurance company has completed a large trial, testing out the efficacy of smart pill bottle technology. The insurance company is seeking to use the results of the trial, along with other data types such as payer data with information on provider visits, treatment codes, demographic information, and prescription drug data to develop a predictive model that can identify the patients who are not likely to take their medication as prescribed. They can then use the predictive model to power an application to recommend pill bottles to the right members. 

Your task: You are a AI Engagement Manager / Senior AI Engagement Manager responsible for authoring a product specification that outlines the business objectives, identifies the relevant sources of data, scopes the prediction model, and mocks-up a UI to deliver and track the insights.  

Guiding questions in developing an application specification:

What is the overall business value for the customer?
Why is this a good use case to address using the C3 AI Platform? 
What are the roles of users of this solution on the provider and payer side? What matters to them?
What are the user inputs? What could the output screens contain or allow in terms of functionality?
What data do you need and where will the data come from? How might you keep it current?
What type of predictive model might you implement?
Assessment

Your writing sample will be assessed on the following parameters:

Clarity and concision
Understanding of the business problem 
Basic knowledge of data sources and data attributes that will be used
Basic comprehension of data analysis, predictive models, and ability to infuse these analytics in an application

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Please take your time to think before completing the writing assessment. In a format of a word document, please don’t make this more than 4-5 pages; feel free to describe simple graphics, UI sketches or block diagrams to make the points you want