Senior Technical Product Manager - AI Decision Intelligence Platform

Location: New York

## Senior Technical Product Manager - AI Decision Intelligence Platform Apply remote type:
Hybrid locations:
NY - New York:
Work At Home-New Yorktime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
June 28, 2026 (23 days left to apply) job requisition :
R0835225

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
** Position Summary
** CVS Health is seeking a Senior Technical Product Manager, AI Decision Intelligence Platform, to lead the product strategy, roadmap, and execution for a multi-agent AI decision intelligence platform. This role will serve as the bridge between business stakeholders, data science, engineering, and operations teams to deliver scalable AI-powered solutions that improve decision-making, operational efficiency, and business outcomes across Specialty Operations.

The Senior Technical Product Manager will be responsible for defining platform capabilities, prioritizing investments, and driving the development of agentic AI workflows, predictive analytics solutions, and decision intelligence products. This individual will translate complex business challenges into product requirements, manage cross-functional delivery teams, and ensure the platform delivers measurable value to operational users and business leaders.

The ideal candidate combines strong product management expertise with technical depth in AI, data science, and enterprise platforms. They are comfortable working with executive stakeholders, understanding operational workflows, and driving innovation in a rapidly evolving AI landscape.
** Required Qualifications
*** 3+ years of product management experience, including ownership of technical products, data platforms, analytics products, or AI/ML solutions
* Experience defining product strategy, roadmaps, and requirements for enterprise-scale technology platforms
* Strong understanding of AI, machine learning, and decision support systems
* Experience partnering with engineering, data science, and business teams to deliver complex technology solutions
* Ability to translate business problems into technical requirements, user stories, and product specifications
* Experience managing cross-functional stakeholders and influencing decisions across multiple organizational levels
* Strong analytical and problem-solving skills with the ability to leverage data to prioritize product investments
* Experience leading Agile product development processes and working closely with software engineering teams
* Excellent communication and presentation skills, including experience presenting to senior leadership
** Preferred Qualifications
*** Experience developing or managing AI agent, multi-agent, or generative AI platforms
* Experience with decision intelligence, operational analytics, workflow automation, or intelligent decision support systems
* Healthcare, pharmacy, specialty pharmacy, or healthcare operations experience
* Familiarity with modern AI ecosystems, including large language models (LLMs), agent orchestration frameworks, vector databases, retrieval-augmented generation (RAG), and model evaluation methodologies
* Experience managing platform products that support multiple business use cases and stakeholder groups
* Consulting experience or experience leading strategic technology transformations
* Familiarity with cloud-native architectures and platforms such as AWS, Azure, or GCP
* Experience defining KPIs, adoption metrics, and value realization frameworks
* Knowledge of responsible AI, model governance, and AI risk management principles
** Education
* ** Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related field required
* Master’s degree in Business Administration (MBA), Computer Science, Engineering, Data Science, or a related…