Go-To-Market Leader: Data Analytics - Life Sciences
- WI, United States
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Job details
- Apply by
- Education
- Bachelor’s degree
- Experience
- 15+ years of experience in consulting, technology sales, business development, solution sales, or go-to-market leadership.
- Posting language
- English
- Posted
Original job description
Job Title: Go-To-Market Leader: Data Analytics - Life Sciences Job Location: New York (Onsite) Duration: FTE
Description:
Define and execute the Life Sciences Data & AI growth strategy across R&D, Clinical, Commercial, Supply Chain, Regulatory, and Quality functions. Develop and position differentiated offerings leveraging Data & AI, Generative AI, Agentic AI, Data Management, Cloud Modernization, and Advanced Analytics. Own the sales lifecycle, including pipeline generation, opportunity qualification, pursuit strategy, proposal development, executive presentations, and deal closure. Lead strategic pursuits and support RFP/RFI responses, client workshops, and business case development. Build trusted advisor relationships with executive stakeholders including Chief Data & Analytics Officers, Digital Transformation leaders, R&D IT leadership, and Commercial Analytics executives. Collaborate with account teams, delivery leadership, and Centers of Excellence to align solutions, talent, and delivery capabilities. Develop and manage strategic alliances with technology partners including Microsoft, AWS, Google Cloud, Databricks, Snowflake, Veeva, and emerging GenAI ecosystem partners. Represent Capgemini at industry conferences, partner events, client forums, and thought leadership initiatives. Create industry points of view, whitepapers, and executive content showcasing Capgemini’s Data & AI capabilities within Life Sciences. Mentor and enable client-facing teams on Life Sciences Data & AI trends, solutions, and market positioning. Your Skills and Experience 15+ years of experience in consulting, technology sales, business development, solution sales, or go-to-market leadership. Significant experience within the Life Sciences industry, including Pharmaceuticals, Biotechnology, MedTech, or Healthcare. Proven success building pipeline and closing large-scale Data & AI, Analytics, Cloud, and AI transformation engagements, typically valued at $1M+. Strong understanding of Life Sciences business processes and regulatory frameworks, including GxP, 21 CFR Part 11, HIPAA, and data compliance considerations.
Experience selling and positioning solutions across:
Data & Analytics Cloud Data Platforms Data Governance & Master Data Management Artificial Intelligence & Machine Learning Generative AI & Large Language Models MLOps and Data Modernization Strong consultative selling, executive relationship management, negotiation, and presentation skills. Demonstrated ability to work across sales, delivery, partner, and solution organizations in a matrixed global consulting environment. Experience developing strategic partnerships and co-sell motions with cloud hyperscalers and technology vendors. Bachelor's degree required; MBA or advanced degree preferred.
Preferred Qualifications
Established network of Life Sciences client relationships and executive decision-makers. Experience with industry platforms such as Veeva, Medidata, IQVIA, or other Life Sciences data ecosystems. Experience leading Data & AI initiatives supporting clinical development, drug discovery, commercial analytics, real-world evidence, regulatory operations, or supply chain transformation. Previous quota-carrying sales leadership, practice leadership, or P&L responsibility. Strong knowledge of emerging technologies including Generative AI, Agentic AI, Data Mesh, Modern Data Platforms, and Cloud-native analytics solutions.
If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
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