Lead Data Management – Life Sciences

EXL

Data Management Lead in Life Sciences consulting, driving strategic client engagement and technology solutions at EXL. Overseeing proposals, account management, and team development for growth.

Posted 4/11/2026full-time🇺🇸 United StatesSenior💰 $165,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Bonuses
Paid Time Off policy
Many region specific benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata integrationdata ingestionmaster data managementcloud platformsAI-driven solutionsproposal developmenttechnical workflow designlarge-scale implementationsEnterprise Data Management

Soft Skills

communicationpresentationclient managementmentoringconflict resolutioncollaborationleadershipprioritizationconsultative engagementknowledge sharing