Navdeep Singh
AVP - Enterprise Data & Machine Learning Organization @CVS Health at CVS
Company Details
Technology Stack
Professional Summary
Navdeep Singh is AVP - Enterprise Data & Machine Learning Organization @CVS Health at CVS. Based in Baltimore, Maryland, United States. Classified as a vp-level VP Data/AI leader. Their organization's technology stack includes Akamai, Akamai DNS, Mimecast, Microsoft Office 365, Open AdStream (Appnexus), and 69 other technologies.
Position in the CTO Rank Database
- • Typical VP Data/AI compensation in Maryland: $200,000 – $460,000 (median $310,000). Composite from levels.fyi, Glassdoor, and Payscale data; adjusted for state cost of labor.
Data compiled from LinkedIn public profiles, company filings, and verified public technology signals. Methodology & sources · Updated June 2026.
Frequently Asked Questions
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Navdeep Singh has a verified email address on file on CTO Rank. They work at CVS. Pro members can access direct email addresses, LinkedIn profiles, and phone numbers.
What company does Navdeep Singh work for?
Navdeep Singh is AVP - Enterprise Data & Machine Learning Organization @CVS Health at CVS with 980 employees. The company is headquartered in Woonsocket, Rhode Island, United States.
What is Navdeep Singh's role in technology leadership?
Navdeep Singh is classified as a VP Data/AI leader at the vp level.
What technologies does Navdeep Singh's organization use?
Navdeep Singh's organization uses a technology stack that includes Akamai, Akamai DNS, Mimecast, Microsoft Office 365, Open AdStream (Appnexus), Adobe Marketing Cloud. This information is useful for sales teams, recruiters, and technology vendors.
Is Navdeep Singh open to recruiting or new opportunities?
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Can I pitch or sell to Navdeep Singh at CVS?
Navdeep Singh is AVP - Enterprise Data & Machine Learning Organization @CVS Health at CVS. VP Data/AIs like Navdeep Singh typically evaluate vendors in Akamai, Akamai DNS, Mimecast, and related categories. Use CTO Rank Pro to get verified email and approach directly.
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