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Position Summary

Our Healthcare Delivery Analytics Engineering team within the Analytics & Behavior Change (A&BC) division of our Data, Digital, Analytics, Technology (DDAT) organization is seeking a Lead Director, 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 Lead Director, 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.

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 teams 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 implementation teams 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. 

Required Qualifications 

• 7+ 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.)

• 1+ year managing engineering managers

• 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 

Preferred Qualifications 

• 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 

Education

Bachelor’s degree in a software discipline, or equivalent work experience.

Master’s degree preferred.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

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.  This position also includes an award target in the company’s equity award program. 
 
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 Benefits | CVS Health

We anticipate the application window for this opening will close on: 01/06/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.