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Life Science Commercial Delivery Lead

Cognizant North America
life insurance, parental leave, paid time off, paid holidays, 401(k)
United States, California, Foster City
Mar 31, 2025

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all committed, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to craft the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informational, relevant intelligence.

Lead and manage programs focused on Operations & Sustainment, Data management projects, Dashboarding Project involving life science data sources from research institutions, pharmaceutical companies, and other relevant healthcare organizations, to help drive analytical insights for clients. Also, should support development and execution of strategic sales plans, identifying new market opportunities, and building strong customer relationships within the life science industry.

Key Responsibilities:
  • Sales Strategy Development:

Create and implement comprehensive sales strategies aligned with company goals, including market segmentation, pricing strategies, and sales channel development to maximize market penetration within the life science sector.

  • Team Leadership:

Manage and motivate a team of sales representatives, providing coaching, performance feedback, and training to achieve individual and team sales targets.

  • Customer Relationship Management:

Build and maintain strong relationships with key customers, including scientists, researchers, and procurement managers, understanding their needs and addressing their concerns to foster long-term loyalty.

  • Lead Generation:

Identify and develop new business opportunities through prospecting, networking, and attending industry conferences to generate qualified leads and expand customer base.

  • Sales Forecasting and Reporting:

Accurately forecast sales performance, track key sales metrics, and provide regular reports to senior management on sales progress, market trends, and competitor activity.

  • Product Knowledge:

Possess in-depth knowledge of the company's life science products or services, including their technical specifications, applications, and competitive landscape to effectively communicate value propositions to customers.

  • Market Analysis:

Conduct market research to identify emerging trends, competitor analysis, and potential new market segments within the life science industry to inform sales strategy.

  • Pricing and Negotiation:

Negotiate pricing and contract terms with customers to ensure profitable sales while maintaining strong customer relationships.

  • Collaboration:

Work closely with marketing, product development, and customer service teams to ensure alignment on sales strategies and customer support.

Required Skills and Qualifications:
  • Life Science Industry Expertise:

Proven understanding of the life science market, including key players, research trends, and regulatory landscape.

  • Sales Leadership Experience:

Demonstrated success in leading and managing a sales team within the life science industry, achieving sales targets, and driving revenue growth.

  • Strong Communication Skills:

Excellent verbal and written communication skills to effectively present product features, address customer concerns, and build rapport with key decision-makers.

  • Relationship Building:

Proven ability to develop and maintain strong customer relationships through proactive engagement and consultative selling approaches.

  • Analytical Skills:

Strong analytical skills to interpret sales data, identify trends, and make informed business decisions.

  • CRM Proficiency:

Expertise in using CRM systems to manage sales pipeline, track customer interactions, and analyze sales performance

Qualifications You Must Have:
  • Minimum 14+ years' of experience in Commercial sales & Marketing Experience, Strong knowledge on MDM, CRM, Managed Market systems, Data Management & Dashboarding experience
  • Bachelor's degree in computer science, Technology, Engineering or Mathematics or equivalent combination of related work experience and schooling in lieu of degree; Advanced degree
  • Proven track record of leading enterprise-wide data initiatives, including policy development, implementation, and enforcement.
  • Expertise in data governance tools and advanced data platforms.
  • Life Science Sales & Marketing domain knowledge with experience of executing Data Management & Dashboard projects
  • Preferred to have AWS / Databricks / Tableau experience

#LI-NC1

Applications will be accepted until 4/11/2025.

The annual salary for this position is between $125,000 - $205,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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