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Associate Consultant, Customer Adoption Management
Vena SolutionsIndia - Resident (0008)INR 1264k–1700kOn-site2mo ago
- Employment
- Full-time
- Seniority
- Junior
About the role
How You'll Make an Impact
- Execute post-implementation configuration and optimization for assigned customer health plans in partnership with TAMs/CAMs.
- Configure, enhance, and maintain Vena data models, templates, reports, workflows, and integrations to support evolving customer needs.
- Ensure accuracy and reliability of customer data feeds, aligned with solution design and health plan objectives.
- Deliver timely, high-quality configuration updates that drive product adoption and measurable value realization.
- Test, validate, and quality-check all configuration changes prior to release or customer enablement.
- Troubleshoot configuration, data, and performance issues, recommending scalable, sustainable solutions.
- Identify opportunities to standardize, simplify, and automate configurations to improve efficiency and reduce support effort.
- Document configuration approaches, assumptions, and changes to support customer transparency and internal continuity.
- Contribute to reusable templates, configuration patterns, and best practices to enable scale across the Customer Adoption team.
- Take ownership of adoption and retention KPIs (NRR/GRR, utilization metrics, adoption score) while demonstrating proactive, self-directed execution.
We'd Love to See
- 1-2 years of work experience in Financial Planning & Analysis (FP&A)/Accounting and/or Software Implementation.
- A passion for continuously learning new technology, and improving business processes for our customers
- Resourcefulness and eagerness to learn and grow, takes initiative to find answers
- Excellent communication skills in English, proactively asks thoughtful questions, and demonstrates understanding of customer needs
- Ability to work collaboratively in a team environment, and present effectively with all levels in an organization
- Experience in applying problem solving skills (quantitative, conceptual, analytical)
- Strong Microsoft Excel skills
- Data Integration and data modeling experience, or a willingness to learn
- Experience or knowledge of database management (i.e. ETL, Oracle, SQL Server, etc
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