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.