Associate Director – Data, Analytics and AI Strategy

Novo Nordisk

Associate Director shaping data, analytics, and AI strategy for Novo Nordisk’s pharmaceutical portfolio. Building advanced analytics capabilities and leading teams to improve commercial and portfolio decisions.

Posted 8/6/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Data ScienceMachine LearningPredictive ModelingLeadership ExperiencePharma Domain Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsAI StrategyData EngineeringBusiness IntelligencePredictive ModelingAdvanced AnalyticsGenerative AIAgentic AIData GovernanceStatistical Analysis

Soft Skills

Communication SkillsRelationship ManagementCross-Functional CollaborationInfluencing SkillsPsychological Safety

Tools & Technologies

Data Visualization ToolsAnalytics PlatformsAI FrameworksDigital Transformation ToolsData Management Systems

Certifications & Qualifications

Master's Degree in Data ScienceMaster's Degree in AnalyticsMaster's Degree in StatisticsMaster's Degree in Computer Science

Industry Keywords

Healthcare AnalyticsDigital TransformationCommercial ExcellenceData-Driven CultureCompliance Requirements

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Market-leading benefits designed with your career and life stage in mind
Opportunities to grow by deepening expertise, leading at scale, or exploring new paths across a global organisation
Inclusive recruitment process and equality of opportunity