Associate Director – Data, Analytics and AI Strategy

Jobtailor

Bengaluru

On-site

INR 4,000,000 - 10,000,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru seeks a senior Data, Analytics & AI leader to define and drive a business-aligned strategy and multi-year capability roadmap. You will guide senior leadership on transformation, embedding an AI-first culture across brand strategy, portfolio planning, customer engagement, and forecasting.

You will build and mentor a multidisciplinary team, establish governance, and partner with IT to ensure scalable architecture and responsible AI. English fluency is essential.

Qualifications

Master's degree requirements across DS/Analytics/CS/Statistics or related field.
12+ years in Data Science, Analytics, AI, Commercial Excellence, or Strategy.
5+ years of leadership building high-performing teams.
Influence senior executives and drive transformation programmes.
Fluency in advanced analytics, data engineering, predictive modelling, ML, AI incl generative and agentic AI, BI/visualisation.
Experience in global/regional environments.
Ability to navigate matrix structures and decision-making under ambiguity.
Fluency in written and spoken English.
Excellent communication and relationship management skills.
Pharma or life sciences domain experience preferred.

Responsibilities

Define and drive a business-aligned Data, Analytics & AI strategy and multi-year capability roadmap.
Advise senior leadership on transformation opportunities and embed an AI-first, data-driven culture.
Translate strategic business priorities into analytical frameworks and predictive models across brand strategy, portfolio planning, customer engagement, market access, forecasting, and competitive intelligence.
Build and lead a multidisciplinary team of data scientists, AI specialists, analytics professionals, and business insight experts through hiring, coaching, upskilling, and succession planning.
Establish data governance frameworks, quality standards, and compliance requirements.
Partner with Digital, Data & IT teams to ensure scalable architecture and responsible AI practices.
Identify, prioritise, and deploy AI/ML use cases, including generative and agentic AI.
Build partnerships with technology vendors, analytics partners, and industry experts.
Scan emerging trends in AI, healthcare analytics, and digital transformation.
Foster a team culture rooted in psychological safety, cross-functional collaboration, inclusivity, and shared accountability.

Skills

Data Science

Machine Learning

Predictive Modeling

Leadership Experience

Pharma Domain Experience

Education

Master's degree in Data Science

Master's Degree in Analytics

Master's Degree in Statistics

Master's Degree in Computer Science

Tools

Data Visualization Tools

Analytics Platforms

AI Frameworks

Digital Transformation Tools

Data Management Systems

Job description

Define and drive a business-aligned Data, Analytics & AI strategy and multi-year capability roadmap
Advise senior leadership on transformation opportunities and embed an AI-first, data-driven culture
Translate strategic business priorities into analytical frameworks and predictive models across brand strategy, portfolio planning, customer engagement, market access, forecasting, and competitive intelligence
Build and lead a multidisciplinary team of data scientists, AI specialists, analytics professionals, and business insight experts through hiring, coaching, upskilling, and succession planning
Establish data governance frameworks, quality standards, and compliance requirements
Partner with Digital, Data & IT teams to ensure scalable architecture and responsible AI practices
Identify, prioritise, and deploy AI/ML use cases, including generative and agentic AI
Build partnerships with technology vendors, analytics partners, and industry experts
Scan emerging trends in AI, healthcare analytics, and digital transformation
Foster a team culture rooted in psychological safety, cross-functional collaboration, inclusivity, and shared accountability

Requirements

Master's degree in Data Science, Analytics, Statistics, Computer Science, Engineering, Economics, Business, or a related field
12+ years' experience in Data Science, Analytics, AI, Commercial Excellence, or Strategy
5+ years of leadership experience building and developing high-performing teams
Proven ability to influence senior executives and drive transformation programmes
Strong technical fluency across advanced analytics, data engineering, predictive modelling, machine learning, AI including generative and agentic AI, and business intelligence/visualisation
Demonstrated experience working in global and/or regional environments
Ability to navigate cross-functional and matrix structures, mobilise stakeholders, and make decisions under ambiguity
Fluency in written and spoken English
Excellent communication and relationship management skills
Pharma or life sciences domain experience preferred

Core Competencies

Demonstrates expertise in defining and executing a data, analytics, and AI strategy while leading multidisciplinary teams to foster a data-driven culture. Proficient in advanced analytics, machine learning, and predictive modeling, with a strong focus on compliance and governance in the pharma or life sciences domain.

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