below marketmost similar roles pay hereabove market
This role pays less than
84%
of similar roles. Most pay
$185,444–$259,460
— the blue band above.
At the midpoint, this role pays about
$166k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
110 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 109 roles with salary data.
The Lead Director, Sales Performance Analytics-Commercial will lead a multidisciplinary performance analytics team to transform it into a strategic, outcome-oriented capability. This leader will oversee the analytics product portfolio, streamlining reporting by consolidating overlapping outputs and prioritizing high-value dashboards, forecasts, and AI-enabled insights. Key responsibilities include defining success measures, establishing governance, and partnering with senior sales leaders to translate complex data into clear business actions. The role requires technical fluency in Salesforce, SQL, Tableau, Power BI, Excel, and cloud data platforms to guide data engineers and BI developers. The position operates within a commercial sales environment, specifically addressing the need for scalable, trusted analytics to guide sales strategy and performance decisions while navigating the complexities of a large, matrixed healthcare and insurance business environment.
Lead and coach a multidisciplinary analytics team to transition from reactive reporting to proactive, insight-led decision support.
Own the analytics product roadmap by consolidating low-value reports and prioritizing high-impact dashboards and AI-enabled insights.
Partner with senior sales leaders to define KPIs and translate business priorities into decision-ready analytics products.
Establish transparent governance, intake processes, and success measures to balance operational support with strategic goals.
Ensure all analytics products are accurate, scalable, and trusted as primary sources for business planning and performance decisions.
Provide strategic oversight of the data architecture, platform stability, and responsible AI adoption in collaboration with technical leaders.
Communicate complex insights, risks, and trade-offs to both technical and non-technical executive audiences.
What we're looking for
8+ years of progressive experience in sales analytics, commercial analytics, business intelligence, data products, or a related decision-support function.
Hands-on experience in analytics, business intelligence, data engineering, dashboard development, or analytics product management.
Demonstrated people leadership experience, including setting direction, developing talent, and leading teams through significant change.
Proven experience rationalizing a reporting or analytics portfolio by using business value, usage, and effort to prioritize or retire products.
Demonstrated ability to partner with senior leaders, define KPIs, and turn complex analytics into clear business actions.
Knowledge of health care, insurance, or Aetna business environment and the ability to navigate a large, matrixed organization.
Technical fluency in Salesforce, SQL, Tableau, Power BI, Excel, cloud data platforms, and AI-enabled analytics.
Bachelor’s degree, specialized training, or relevant professional qualification (preferred).
Power BI
Tableau
SQL
Snowflake
Azure
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Google Cloud
Data Modeling
Predictive Analytics
Machine Learning
Data Governance
Business Intelligence
Data Visualization
Data Engineering
Data Science
Business Intelligence
Analytics Products
AI Products
Product Roadmap
quasi experimentation
Technical Product Development
Data-driven Decision-making
SQL
BigQuery
dbt
Tableau
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Machine Learning
Data Governance
Multi-touch Attribution
ROI Frameworks
SaaS Unit Economics
Data Engineering
Data Science
BI
CRM
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SQL
Python
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Qlik
Large Language Models
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Robotic Process Automation
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Automated Reporting
Data Science
Data Engineering
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Business Intelligence
Machine Learning
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Cloud Architecture
Semantic Modeling
Data Quality
Statistical Methods
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Reporting & Insights
Automation
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