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Techno Functional Data & Analytics Lead

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Job Description – Techno Functional Data & Analytics Lead (Associate Director / Director Level)

Position: Leader – Techno Functional Data & Analytics SME (AD/D Level)
Domain: Life Sciences / Pharmaceutical Industry
Experience: 12+ Years
Location: Open / Hybrid

Role Overview

We are seeking an experienced and highly motivated Techno-Functional Data & Analytics Leader to drive enterprise-wide data, analytics, and AI/ML initiatives within the Life Sciences industry. The ideal candidate will possess deep expertise in pharmaceutical data ecosystems, business intelligence, advanced analytics, and cloud-based data platforms, with strong exposure to Commercial and/or R&D business functions.

This role will act as a strategic bridge between business stakeholders and technology teams, enabling data-driven decision-making, digital transformation, and innovation across the organization.


Key Responsibilities

Data & Analytics Leadership

  • Lead the design and implementation of enterprise data and analytics strategies aligned with Life Sciences business objectives.

  • Drive data modernization initiatives, including cloud-based data platforms, data lakes, and advanced analytics solutions.

  • Partner with business leaders to identify opportunities for leveraging data, AI, and machine learning to improve business outcomes.

  • Define and govern data standards, quality frameworks, and data management best practices.

Life Sciences Domain Expertise

  • Provide techno-functional leadership across Commercial and/or R&D functions within the pharmaceutical domain.

  • Work extensively with pharmaceutical industry datasets, including:

  • Syndicated market data (IQVIA, Symphony Health, etc.)

  • Sales and prescription data

  • Patient and claims data

  • CRM and customer engagement data

  • Clinical trial and R&D data

  • Master and reference data

  • Translate complex business requirements into scalable analytics and reporting solutions.

Business Intelligence & Advanced Analytics

  • Lead the development of business intelligence, dashboarding, and self-service analytics solutions.

  • Enable insights generation through descriptive, diagnostic, predictive, and prescriptive analytics.

  • Drive KPI definition, reporting standardization, and executive-level performance monitoring.

  • Collaborate with data scientists and business teams to operationalize advanced analytics use cases.

Cloud & AI/ML Enablement

  • Architect and implement cloud-based analytics solutions using platforms such as AWS, Azure, or GCP.

  • Drive adoption of AI/ML technologies for forecasting, customer segmentation, next-best-action recommendations, commercial effectiveness, and clinical analytics.

  • Oversee the deployment and governance of machine learning models in production environments.

  • Evaluate emerging technologies and recommend innovative solutions for business growth.

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