Senior Manager, Observability Data Infrastructure and Platform Solutions

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.

Position Summary

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

As Senior Manager of Observability Data Infrastructure and Platform Solutions, you will take a hands-on approach overseeing the design, build, and management of our enterprise observability data platform.

Your work will directly influence our ability to deliver actionable insights, drive innovation, and improve operational stability, performance, and security of our systems providing services to millions of Americans.

Reporting to the Lead Director of Observability Engineering, you will lead a talented team of developers and data engineers from the front to manage and optimize existing data platforms, and build our next generation observability data lake, data pipeline, and associated data models.

The ideal candidate is a player-coach, experienced at leading teams while designing, building, and managing large-scale multiplatform data solutions including platform technologies such as Splunk, ELK stack, DataBricks, ClickHouse and Grafana, and data pipeline technologies such as Vector, Ni-Fi, Cribl, and Kafka.

Key Responsibilities :

• Build and manage enterprise observability data platforms and solutions, optimizing for scalability, reliability, and actionable insights to ensure they meet the evolving needs of CVS Health.
• Design and implement robust, massively scalable data pipelines that integrate seamlessly with a broad array of data producers, data platforms, and security and observability tools.
• Ensure all data management practices comply with data privacy laws and company policies.
• Drive the strategic vision for data lake architecture, ensuring it supports comprehensive analytics and insights.
• Mentor and guide a team of developers and data engineers, fostering a culture of innovation and continuous improvement, and leading by example.
• Stay at the forefront of data technology trends, applying best practices and introducing improvements to maintain a resilient, highly performant, cutting-edge data platform.
• Collaborate with observability engineering and operations teams, business partners, service management, and IT operations to align projects and platforms with organizational goals.

Required Qualifications

• 7+ years’ experience designing, building, and managing large scale, multiplatform data solutions, enterprise data models and data architectures, both on-premises and in major cloud providers (AWS, Azure, GCP).
• 7+ years of experience building and managing large-scale data platforms such as Splunk, ELK stack, DataBricks and ClickHouse.
• 5+ years of experience managing enterprise software development projects and contributing to software development in an enterprise environment leveraging modern DevOps practices.
• 5+ years of building and managing data pipeline technologies such as Cribl, Vector, Kafka, and Ni-Fi at massive scale.
• Strong people and team leadership skills, with experience managing a team of highly skilled developers and engineers.
• Expert on data management principles and best practices in the contexts of observability, cybersecurity, and machine learning.
• Experience building AI / ML solutions to manage and extract insights from large data sets.
• Excellent problem-solving abilities and the capacity to work on complex projects with cross-functional teams.
• Effective communication skills and the ability to convey technical concepts to a non-technical audience.

Education :

Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Pay Range

The typical pay range for this role is : $106,605.00 - $213,210.00. 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.

We anticipate the application window for this opening will close on : 11 / 30 / 2024.

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

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