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Sr Mgr, Software Development Engineering

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Ccgmag
Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • Software Development
    AI Engineer, Data Science Manager
Job Description & How to Apply Below
Location: New York

Overview

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues — caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate.

And we do it all with heart, each and every day.

Position Summary

Our Insights Engine team within the Analytics & Behavior Change (A&BC) division of our Data, Digital, Analytics, Technology (DDAT) organization is seeking a Senior Manager, Software Development Engineering. We are looking for passionate, driven individuals who want to join a high-energy, growing team dedicated to making a difference in the lives of the patients being served by CVS Health businesses like Minute Clinic, Oak Street Health, and Signify Health.

This leadership role is at the forefront of AI innovation within healthcare, reinventing how we use data, analytics, and machine learning to ensure that the people who trust CVS Health with their care are supported across their healthcare journey by care teams armed with world-class diagnostic & analytics tooling. Our team s work is crucial to the mission of CVS Health: a fully integrated care delivery ecosystem utilizing digital, community, home-based and traditional channels, transforming care to drive superior health outcomes and a seamless patient and consumer experience.

As a Senior Manager, you will be responsible for guiding teams as they build best-in-class applications that integrate advanced analytics capabilities (predictive models, LLMs, vector search) into complex distributed systems built within the Google Cloud Platform. You will develop the strategies and tactics that we use on the path to delivering cutting-edge products, leveraging your expertise in engineering management, software architecture, and distributed system design.

You will join a high-caliber group of engineering leaders dedicated to delivering impact quickly while ensuring our technical assets and architecture are constantly maturing, empowering us to iterate quickly while exploring bold technical solutions to incredibly complex problems, and then call out when we need to pivot towards scaling execution across the lives of millions. You encourage the team and champion the delivery of the right software at the right time, ensuring that we maximize our impact.

Responsibilities
  • Technical oversight: Technical leader capable of designing and overseeing the build-out and operations of complex distributed systems at scale in a fast-paced analytics organization
  • Engineering leadership: Able to technically direct, support, and evaluate data, software, and ML engineers and their work product, ensuring we are building best-in-class solutions that can scale to meet our future non-functional requirements
  • System performance: Monitor and optimize both team & system performance, identifying opportunities for enhancement and addressing any issues or bottlenecks. Establish KPIs and OKRs that unlock quantitative insight so we can change processes with confidence.
  • Talent management: Recruit, manage, mentor, and retain a high-performing engineering team while contributing to a positive and supportive culture, encouraging innovation, and driving a pragmatic balance of continuous improvement and effective value delivery.
  • End-to-end ownership: Lead a team from strategy through delivery in complex and highly visible engineering projects.
  • Prioritization and pivots: Guides team s work prioritization in alignment with our strategic objectives. Coach an implementation team through pivoting as needed while remaining steadfastly focused on the overall objective.
  • Cross-functional collaboration: Collaborate closely with other technical teams (engineering, platform, infrastructure, security, governance) to understand their expectations and develop solutions in accordance with appropriate guidelines.
  • Coalition building: Establish effective relationships with…
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