Veeva Network

4 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

4 to 10 years overall experience in Application Support or Managed Services delivery.

Minimum 3+ years of hands-on experience with Veeva Network.

At least 2 years in a team leadership or technical lead capacity, preferably in a global delivery model

• 3+ years of experience with Veeva Network – including configuration, data model management, integrations, and troubleshooting

• 3+ years of experience in Life Sciences MDM processes, HCP/HCO data models, OpenData, and reference data mapping

• 3+ years of experience with Veeva Network API, data import/export processes, and real-time integrations with CRM systems

• 3+ years of experience with incidents, problems, and change management in a managed services context

• 2+ years of experience with Data Stewarding activities, fuzzy matching, suspect record handling, and deduplication

• 3+ years of experience in SQL and data querying skills

• 2+ years of experience working in validated environments (GxP) and knowledge of compliance and documentation standards

• 3+ years of experience in managing a support team, delegate tasks, and ensure SLAs are consistently met.

• Incident & Problem Management: Own and resolve critical incidents and recurring problems related to Veeva Network, ensuring root cause analysis and preventive actions are documented and implemented.

• Change & Release Management: Manage and review enhancements, configuration changes, and deployments across environments; ensure regression testing and stakeholder alignment before release.

• Data Stewardship Oversight: Provide guidance on data stewardship best practices, data model governance, and reference data management; liaise with global data stewards and data providers.

• Monitoring & Performance Optimization: Define and implement health checks, performance monitoring, and job schedule validations to ensure high system availability.

• Team & Process Leadership: Mentor and guide junior support staff, enforce best practices in ticket triaging, documentation, and resolution tracking. Work closely with client teams to drive knowledge sharing and operational maturity.

• Stakeholder Management: Collaborate with business teams (Sales Ops, Commercial IT), Veeva SMEs, and offshore/onshore support teams to align business priorities with IT delivery.

• Compliance & Audit Readiness: Ensure compliance with client’s quality and regulatory frameworks. Lead periodic reviews and documentation updates for audit readiness.

• Continuous Improvement: Identify automation opportunities, process optimization, and knowledge base development to increase efficiency in support delivery.

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Excellent communication and stakeholder management skills.

Strong analytical and problem-solving mindset.

Ability to work under pressure and manage multiple priorities.

High attention to detail, especially in data quality and compliance scenarios.

Proactive attitude towards identifying risks and proposing preventive solutions.

Capable of working in onshore/offshore and multi-vendor support models.

Expected Outcome

We are seeking a Technical Lead for Veeva Network Application Maintenance and Support, responsible for leading the end-to-end support operations, ensuring system stability, and delivering high-quality solutions aligned with the client’s commercial data and MDM (Master Data Management) objectives.

This role demands strong expertise in Veeva Network and Life Sciences data models, the ability to troubleshoot issues, and collaboration across functional and technical teams.

Secondary Skills to be planned Post Hiring - Training Plan

Exposure to other Veeva modules (e.g., Veeva CRM, Vault, Align).

Knowledge of Salesforce.com data integration or middleware platforms (e.g., Mulesoft, Dell Boomi).

Experience with AWS/Azure services used in data integrations or monitoring.

Familiarity with ETL tools and data cleansing strategies.

Understanding of Agile or DevOps methodologies in a support environment.

 

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