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Chief of Staff to SVP

Job Description

Chief of Staff, Healthcare Analytics

At CVS Health, our purpose is to simplify health care, one person, one family, and one community at a time, with the ambition to be America’s most trusted health care company. Healthcare Analytics powers that purpose, building AI-powered analytics solutions to help care reach consumers affordably and on time.

This role is the right hand to the SVP leading Healthcare Analytics. You will own the numbers that keep the organization funded and accountable, the processes that keep it running day to day, and the communications that share its success stories with senior leadership and colleagues. This is a high-visibility seat for someone who wants to operate at the intersection of innovation, strategy, finance, and storytelling inside one of the largest analytics organizations in healthcare.

What you will own

  • Financial stewardship: manage the capital and operating budget across the portfolio, track value realization and ROI against committed initiatives, and build the financial narrative for budget reviews with business partners.
  • Operational rhythm: run the recruiting pipeline, manage onboarding so new colleagues get up to speed effectively, organize leadership onsite workshops, and own meeting cadence to drive transparency and engagement.
  • Executive communication: produce executive-ready materials, including leadership updates and other communications to represent the organization’s work with partners and stakeholders, both internal and external. This includes crafting the agenda and content for townhalls.
  • Strategic planning and performance management support: partner on annual and mid-year planning cycles, including goal setting and tracking progress against commitments through scorecard and metrics updates.
  • Talent management processes: run talent reviews and calibration, analyze Colleague Engagement survey results and drive the resulting action items, and support talent growth.
  • Cross-functional coordination: serve as a connective point with peer Chiefs of Staff and the broader Digital, Data, Analytics and Technology organization to share best practices and coordinate updates.
  • Issue resolution: identify and clear the blockers that slow initiatives down, escalating to the SVP as needed.

What makes someone successful

  • Genuine comfort with numbers, understanding what they mean for our scorecard and overall budget.
  • Process discipline combined with creative solutioning and the instinct to build a system once rather than solve the same problem ad hoc every quarter.
  • Strong executive presence in writing, knowing how to lead with key compelling messages and inspiring stories. High level understanding of AI to enable effective storytelling.
  • Judgment about what needs the SVP’s attention and what can be handled independently.
  • Comfort with ambiguity and change management, given all the exciting opportunities and disruption that AI is bringing to our field.
  • Proficiency with (or eagerness to learn) using AI tools in their work to augment their role and provide support to the broader Healthcare Analytics leadership team.

Required qualifications

  • 10 years of total business experience, with a track record of managing budgets, building operational processes, and producing executive-level deliverables.
  • Strong financial acumen, including experience tracking ROI or value realization on initiatives.
  • Demonstrated experience managing structured processes such as recruiting pipelines, onboarding, or cross-functional meeting cadences.
  • Excellent written communication skills, with examples of executive-ready materials produced with minimal senior leader input.
  • Comfort operating in a fast-moving, matrixed organization without a dedicated team to delegate to.
  • Familiarity with a product-oriented way of working, including how teams organize around products, ownership, and delivery.
  • Healthcare or insurance industry experience preferred.

Education

Bachelor’s degree required. MBA or master’s degree in a quantitative or business field preferred.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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