Senior Commercial Pharma Consultant

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence.

And that it will be such Fractalites that will continue to build the company for the next 100 years.

As the Senior Consultant in Pharma at Fractal Analytics, you will play a pivotal role in partnering with inter-disciplinary teams with Fortune 100 clients to drive AI consulting, delivery, solutioning, growth, scaling client experience in multiple programs and in turn drive growth for Healthcare and Life Sciences (HLS) practice. Your primary responsibility will be excellent client experience, superior delivery, transforming delivery methods with Gen AI, build domain capabilities with AI focus, commercialize cross-client solution towers, drive proposals and thought leadership in context of the clients.

• Drive multiple projects as a billable consultant for fortune 100 cos
• Deliver programs with Agentic AI transformation across Commercial Pharma AI eg. field-force transformation, omnichannel commercial excellence, marketing analytics, next best action, content tagging, patient service/ Field force Copilot Programs leveraging Gen AI, AI, MLOp, LLM ops, Cloud engineering from India, alongside Practice delivery leader
• Translate commercial business questions into clear, actionable analytics use cases.
• Act as the liaison between data science teams and marketing/sales leaders to ensure insights are commercially relevant.
• Turn complex data and model outputs into simple stories, dashboards, and recommendations for executives.
• Embed analytics into day‑to‑day commercial execution through CRM and marketing platforms.
• Ensure high‑quality pharma data is used to drive growth, access, and brand performance.
• Aim of client satisfaction (NPS 72+) with delivery excellence, ensuring high quality project outcomes and client satisfaction.
• Drive Gen AI tools usage to transform methods of delivery to show 30%+ efficiency
• Strong in logical reasoning, structuring analysis, asking the right questions and logical approach to analyse data, problems, and situations.
• Drive daily client and account calls, representing the Pharma team and contributing to strategic discussions.
• Drive proposal development and client presentations using latest and greatest, actively contributing to business development efforts.
• Play an integral role in the pharma practice, aligning AI initiatives with broader organizational goals and closely collaborating with internal stakeholders.
• Excellent navigator of complex ecosystems across clients in matrix organization, managing people dynamics at senior levels, resolving escalations
• Hungry to grow client relationship globally with the right systems, processes and team structures
• Comfortable with inter‑disciplinary ways of working amongst consultants, AI, Engineering, design and other disciplines with indirect reporting and direct influence by providing guidance, support, and mentorship to foster their professional development.
• Build in-depth knowledge of client business priorities, challenges, and initiatives, translating these into actionable opportunities and develop comprehensive account plans aligned with organizational goals and client strategies to drive client QBRs & MBRs
• Be curious to upskill and be agile to the changing Tech environment globally

• Bachelor’s degree in computer science, Engineering, or related field. Advanced degree preferred.
• 6+ years proven track record of success in leading Pharma projects in Fortune 100
• Excellent communication and interpersonal skills, with the ability to effectively engage with clients and internal stakeholders.
• 1+ year in ML/AI/Advanced Analytics/Gen AI development and deployment of solutions in any industry
• Cloud engineering knowledge (AWS or Azure or GCP) to complement scaling of AI…