Manager, Customer Success - Healthcare Analytics
HybridBengaluru, Karnataka, India
Job Summary
Own the portfolio of customer accounts with full relationship ownership, serving as the primary point of contact for leading account strategy, driving onboarding, and ensuring successful delivery across the customer lifecycle. Define and track time-to-value, utilization, and outcome attainment while orchestrating resolution of complex product, data, or service issues to restore delivery momentum. Own renewal strategy, risk mitigation, and forecast accuracy, partnering cross-functionally to remove friction, drive expansion opportunities, and align stakeholders to ensure contractual commitments are met. This role requires 4+ years of experience in Customer Success within healthcare or data analytics, with a Bachelor's degree and hybrid office work in Bangalore.
Required Qualifications
- Bachelor's degree (BS/BE/BTech) or above
- 4+ years of experience in Customer Success, Account Management, or Client Services in healthcare, pharma, or data analytics
- MBA/MPH or advanced degree in an Analytics/ healthcare/pharmacy field
- Ability to query data with SQL
- Proficiency and expertise in Customer management and project management software and tools (e.g., SalesForce Hub Spot, Microsoft Project, JIRA, Confluence, etc.)
- SQL, python, and familiarity and proven experience in data analytics and analysis
- Familiarity with regulatory requirements related to healthcare data (e.g., HIPAA)
- Willingness and enthusiasm to collaborate and unify teams and work streams between India and the US
Desired Qualifications
- Oncology domain preferred
- Track record achieving/overachieving in efforts managing top strategic clients
- Executive presence: ability to influence cross-functionally and communicate complex data/analytics value to technical and business stakeholders
- Hands on Experience working with healthcare data (claims, provider, patient-level data)
- Excellent written and oral communication skills, with the ability to explain technical concepts to non-technical users
- Strong problem solving, change management, and operating rigor (OKRs/KPIs, cadences, forecasting)
- In-depth knowledge of healthcare data and analytics, with experience using data to solve business problems
- Ability to build customer presentation decks that translate the data visually aligned to the customer/project request
- Deep attention to detail, adherence to process and organization
- Deep working knowledge of commercial Life Sciences data products (claims, EHR, provider reference data, HCP affiliations, HCO hierarchy, etc.)
- Deep working knowledge of biopharma commercial and RWE use cases and how commercial Life Sciences data is best applied
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