
AVP Data Management Lead – Life Sciences
EXL
full-time
Posted on:
Location Type: Hybrid
Location: New Jersey • New Jersey • United States
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Salary
💰 $150,000 - $165,000 per year
Job Level
Tech Stack
About the role
- Build and maintain strong relationships with key Life Sciences clients.
- Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
- Lead development of tailored technical proposals in collaboration with cross-functional teams.
- Design innovative solutions in areas like data modernization and digital transformation, ensuring proposals are practical, competitive, and aligned with best practices.
- Monitor account performance and drive growth through upsell and cross-sell opportunities.
- Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
- Coordinate across advisory, technology, and operations teams to ensure seamless delivery.
- Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
- Stay current on industry trends, regulatory changes, and competitive dynamics.
- Contribute to thought leadership through client presentations, webinars, and whitepapers.
- Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.
Requirements
- Minimum of 10 plus years in life sciences consulting, with at least 5 years in a leadership or client-facing role.
- Proven track record in managing multimillion-dollar accounts, driving revenue growth, and leading cross-functional teams.
- Strong expertise in technical design discussions and the ability to provide strategic consulting to enable large-scale engagements is essential for this role.
- Extensive experience in life sciences, pharmaceutical, and biotech organizations, including precision medicine, RWE, and clinical development.
- Strong technical foundation with exposure to data architecture, data integration and ingestion, master data management, cloud platforms, and AI-driven solutions.
- Familiarity with modern technology ecosystems such as hyperscalers (AWS, Azure, GCP), Databricks, Snowflake, emerging AI/ML tools, and industry platforms (e.g. Veeva, Medidata, IQVIA).
- Understanding of life sciences data standards (e.g., HL7, FHIR, CDISC).
- Skilled in proposal development, technical workflow design, and driving large-scale implementations.
- Excellent communication and presentation skills, capable of translating complex concepts for diverse audiences.
- Proven ability to handle multiple engagements simultaneously, balancing priorities in a matrixed environment.
- Strong understanding of Enterprise Data Management (EDM) solutions and related tools, enabling informed client discussions.
- Adept at adapting methodologies to client needs to deliver value and maintain profitability.
- Experience in mentoring teams and conducting internal training programs.
- Ability to resolve conflicts effectively and maintain strong client relationships.
Benefits
- Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata integrationdata ingestionmaster data managementcloud platformsAI-driven solutionsproposal developmenttechnical workflow designlarge-scale implementationslife sciences data standards
Soft Skills
communication skillspresentation skillsclient managementmentoringconflict resolutioncollaborationstrategic consultingbalancing prioritiesfostering innovationknowledge sharing