When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will develop and deploy advanced analytics, machine learning, generative AI, and agentic AI solutions that address complex business and client challenges. You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve clinical, operational, and economic outcomes. You will influence technical strategy, drive innovation, and ensure analytical solutions align with organizational objectives.
Responsibilities:
- Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data.
- Build and deploy scalable, automated data science products and reusable analytic assets that support business and client objectives.
- Analyze large-scale, high-dimensional datasets using modern analytics tools and distributed computing platforms to identify trends, opportunities, and actionable insights.
- Design and prototype agentic AI workflows leveraging large language models (LLMs), retrieval systems, structured data, APIs, tools, and business rules to automate complex business processes.
- Translate business requirements into AI agent architectures, including task decomposition, tool orchestration, routing logic, escalation paths, and human approval checkpoints.
- Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation.
- Develop evaluation frameworks for machine learning and AI solutions, including performance, accuracy, reliability, hallucination risk, latency, cost, safety, and consistency measures.
- Make key analytical and architectural decisions, establish technical standards, and provide leadership on methodology, model selection, solution design, and AI implementation best practices.
- Lead code reviews, mentor data scientists, and promote best practices in software development, responsible AI, model governance, and analytics delivery.
- Partner with engineering, platform, and business teams to deploy, monitor, and maintain production-ready analytics and AI solutions.
- Translate complex analytical findings into clear reports, visualizations, and presentations for technical and non-technical audiences.
- Collaborate with stakeholders and clients to define analytical approaches that address strategic, operational, and clinical objectives.
- Evaluate emerging technologies and industry trends to advance organizational analytics and AI capabilities.
Qualifications:
- Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus.
- 7 or more years of relevant experience required.
- Demonstrated expertise in data science methodologies, statistical modeling, machine learning, generative AI, agentic AI, and natural language processing required.
- Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous decision-making frameworks within enterprise AI environments highly preferred.
- Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.
- Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or enterprise search platforms.
- Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments.
- Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of data.
- Experience designing and implementing human-in-the-loop workflows that balance automation, governance, risk management, and user oversight.
- Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks.
- Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to diverse audiences.
- Experience leading complex analytics initiatives, providing technical guidance, and mentoring data scientists.
- Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred.
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Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
Skills Required
- 7 or more years of relevant experience
- Demonstrated expertise in data science methodologies, statistical modeling, and machine learning
- Expertise in generative AI, agentic AI, and natural language processing (NLP)
- Strong understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG)
- Proficiency in Python, R, SQL, SAS, or similar analytical tools
- Experience with vector databases and semantic search technologies
- Experience with knowledge graphs, metadata management, or enterprise search platforms
- Experience deploying, monitoring, and maintaining ML and AI solutions in production
- Knowledge of responsible AI principles, model governance, explainability, bias detection, and validation methodologies
- Experience designing and implementing human-in-the-loop workflows with governance and risk management
- Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks
- Experience leading analytics initiatives, mentoring data scientists, and conducting code reviews
- Experience working with healthcare data (clinical, claims, operational, or financial datasets)
- Relevant degree preferred; advanced degree in applied mathematics, statistics, computer science, econometrics or related is a plus
Vizient Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.
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Leave & Time Off Breadth — Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
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Flexible Benefits — Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
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Retirement Support — Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.
Vizient Insights
What We Do
Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.
