Sr Mgr, Software Development Engineering

CVS Health-posted 19 days ago
Full-time • Manager
Irving, TX
5,001-10,000 employees
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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 MinuteClinic, 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. As you join a high-caliber group of engineering leaders dedicated to delivering impact quickly while ensuring our technical assets and architecture are constantly maturing, your experience, instincts, and insights will enable us to iterate quickly while we explore 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.

  • 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 partners and customers, ensuring that you understand their vision and can help them deliver on their goals.
  • Risk management: Proactively identify, communicate, and mitigate both internal and external risks. Communicate clearly on progress, challenges, and opportunities to senior management and stakeholders, including presenting technical concepts to non-technical audiences.
  • The big picture: Understand how data, data science, and AI/ML can drive clinical and healthcare delivery strategies. Build partnerships that enable business innovation through data and analytics.
  • Staying current: Stay updated on industry trends, emerging technologies, and best practices in software development, analytics, data engineering, and machine learning technologies to drive innovation and efficiency.
  • 6+ years as a hands-on software development engineer
  • 4+ years designing & building high-volume distributed software systems
  • 3+ years recruiting, managing, and retaining a high-performing team of software development professionals in an agile environment
  • 2+ years developing containerized software applications in public cloud
  • 2+ years exposure to analytics, data engineering and machine learning lifecycle, tools, and best practices
  • 2+ years designing, building, and operating real-time streaming systems and associated system-building blocks (messaging, caching, etc.)
  • 2+ years managing engineers
  • 1+ year using generative AI as an integrated component in software solutions
  • 1+ year in the healthcare or health insurance industry with deep understanding of health care value chain
  • Bachelor’s degree in a software discipline, or equivalent work experience.
  • Strong experience in web services, microservice and service-oriented architectures
  • Expert in Python, Java, Go, .NET or other similar programming languages
  • Expert in SQL, relationship database management systems, and non-relational or no-SQL database management systems.
  • Ability to diagram complex software architectures and communicate complex engineering ideas to non-technical stakeholders both visually and verbally
  • Expert in relationship management for both technical and non-technical customers and stakeholders
  • Strong understanding of cloud-based technologies (GCP, Azure, AWS), engineering frameworks and tools
  • Experience delivering in Agile, SAFE, Kanban, and Lean practices.
  • Experience in data strategy, data architecture, cloud software engineering design patterns, data science & machine learning methodologies, systems integrations, analytics/BI program management (SQL, Python, R, Java)
  • Understanding and familiarity with CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark, dataproc, dataflow, pub/sub, and other GCP managed services
  • Master’s degree preferred.
  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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