Senior Manager, Finance Insights & Decision Support

CVS Health•Hartford, CT

About The Position

The Senior Manager, Finance Insights & Decision Support is a founding leadership role responsible for establishing and growing Finance Intelligence’s Finance Insights & Decision Support capability. The role partners directly with Pharmacy Services (PS) Finance stakeholders to identify emerging risks, opportunities, trends, and business questions that existing reporting and analytics do not fully address. Through analytical investigation, business partnership, and decision-support practices, the leader helps stakeholders understand what matters, why it matters, and what actions should be considered. Initially, this role operates as a hands-on individual contributor while defining the methodology, operating model, and future direction of the function, including its long-term growth and team structure. The role applies appropriate analytical and decision-science techniques, translates findings into recommendations, and identifies ways to operationalize proven insights. It also defines the function’s long-term vision, talent strategy, and capability roadmap, mentors others, and promotes analytical and decision-support best practices across Finance Intelligence.

Requirements

At least 7 years of experience in analytics, finance, business intelligence, strategy, consulting, decision support, data science, or a related field.
At least 5 years of experience applying techniques such as exploratory analysis, trend analysis, forecasting, hypothesis testing, and structured problem solving to business challenges.
At least 2 years of experience using AI-enabled tools, machine learning, advanced analytics, or modern analytical technologies to improve business understanding and support decision-making.
At least 3 years of leadership experience building, leading, scaling, or helping establish teams, capabilities, functions, or major initiatives.
Ability to travel up to 10%, including by plane.
Bachelor’s degree in Finance, Economics, Business, Statistics, Mathematics, Computer Science, Analytics, or a related field; equivalent years of work experience may substitute.
High school diploma or GED required.

Nice To Haves

Experience building or scaling an analytics, insights, strategy, or decision-support function.
Finance, FP&A, healthcare, PBM, or other complex business-domain experience.
Experience applying predictive analytics, machine learning, AI, or advanced analytical techniques to business challenges.
Consulting, strategy, transformation, or business advisory experience.
Experience presenting findings and recommendations to senior leaders and executive stakeholders.
Experience operationalizing exploratory insights into recurring business processes, analytical solutions, or reporting capabilities.
Experience leading cross-functional initiatives involving business, analytics, and technology teams.
Advanced degree preferred.

Responsibilities

Establish and evolve the Finance Insights & Decision Support methodology, engagement model, and operating standards.
Partner with finance and business stakeholders to identify business challenges, decision points, information gaps, risks, and opportunities.
Lead structured investigations into ambiguous questions, unexpected performance, emerging trends, and other signals not fully addressed through established reporting.
Translate analytical findings into actionable insights, executive-ready materials, and clear recommendations that explain business implications and support informed decisions.
Apply analytical, statistical, forecasting, AI-enabled, machine-learning, and decision-science techniques as appropriate to business problems.
Select analytical approaches based on business impact rather than methodological complexity.
Identify opportunities to operationalize proven insights into recurring reporting, monitoring, metrics, or analytical solutions.
Define the long-term vision, talent strategy, capability roadmap, and future organizational structure of the function.
Mentor others and promote analytical and decision-support best practices across Finance Intelligence.