About The Position

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Requirements

  • 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.

Responsibilities

  • Client Engagement & Relationship Management: 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.
  • Solution & Proposal Development: 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.
  • Account & Revenue Growth: 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.
  • Leadership & Delivery Oversight: Coordinate across advisory, technology, and operations teams to ensure seamless delivery. Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
  • Market Awareness & Thought Leadership: Stay current on industry trends, regulatory changes, and competitive dynamics. Contribute to thought leadership through client presentations, webinars, and whitepapers.
  • Team Development: Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.
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