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Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

As a Technical Product Manager within CVS Health's Digital Workplace area, you will be crucial in driving technical innovation and advancing our GenAI applications within the organization.

You will assist in designing and implementing our GenAI solutions for our colleagues, ensuring optimal performance, productivity, and collaboration for our employees.

This key role will help transform how our 300,000+ associates find information by transforming our internal knowledge base and enhancing employee productivity through RAG and GenAI. For the right Product Manager with diverse expertise, this could be the opportunity to redefine the meaning of a digital workplace for a respected global healthcare leader.

The ideal candidate is a highly skilled technical product manager, coming from an engineering background. You must be familiar with the technical aspects of creating microservices and working with Kubernetes. You should also have a strong technical understanding of LLMs, RAG systems, data science, and the process of developing data science products.

You should have 2-3 years of software development experience in an agile environment, having worked with complicated data intensive systems, and be able to translate user experience to backend functionality. You must be able to communicate technically with engineers. You are not afraid to get your hands dirty when needed and write code to understand data.

One of your key responsibilities will be to map out a high-value roadmap for data sources to be integrated into a large RAG system and prioritize potential sources with product frameworks. You will interview data source owners, understand the technical constrains of their system, synthesize complex information, and report your recommendations to leadership and your tech team.

You must be very curious about the intersection of GenAI and software development, actively seeking knowledge on cutting-edge tools. A proven ability for quick learning is essential in this fast-changing landscape.

As a Technical Product Manager on CVS’s Colleague Experience GenAI developer team, you will lead high-priority AI enterprise-level initiatives and work with the latest tools in the GenAI space.

Required Qualifications

• 2+ years of technical product management experience on a machine learning, data science, or data product.

• Experience creating OKRs, and KPIs for data and backend products.

• 1-2 years of experience creating roadmaps focusing on outcomes.

• 1-2 years of experience with the software development processes web technologies, databases, APIs, and system architecture.

• 2+ years of Agile delivery leading all the SCRUM ceremonies for a technical team.

• 2 years of experience translating technical architectures into epics, features, and user stories in Jira.

• Be a self-starter, who figures out what needs to be done without detailed instructions.

• Problem solving: Strong analytical skills and detail orientation to identify issues and develop effective solutions, while considering strategic tradeoffs.

• Exceptional communication and interpersonal skills. You put your team members first and are willing to help where needed. You can communicate at the appropriate technical level to VPs or engineers as needed.

• Continuous Learning: An attitude of ongoing learning and improvement, staying updated with Machine learning and GenAI trends, tools, and frameworks.

Preferred Qualifications

• Master's degree preferred.

• Excellent communication and planning skills.

• Portfolio of LLM applications and sample projects.

• 1+ years of LLM experience building RAG systems at scale (10,000+ documents).

Education

• Bachelor’s degree in computer science, engineering, mathematics or related STEM field from an accredited university.

Pay Range

The typical pay range for this role is:

$97,335.00 - $201,900.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 07/31/2024

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.