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MSD

Associate Director – Portfolio AI Activation

MSD

. Lead advanced analytics and data science projects addressing brand and marketing questions .

Posted 10/21/2026full-timeUnited StatesSenior💰 $156,900 - $247,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in advanced analytics and data science within the pharmaceutical sector, leveraging machine learning and statistical models to drive marketing insights and decision-making. Proven ability to lead cross-functional teams and align stakeholders around analytics and AI initiatives while ensuring compliance and governance standards are met.

Highest-signal resume keywords
Machine Learning ExpertisePharmaceutical Commercial Data KnowledgeProficiency in Python, SQL, and/or RExperience in Marketing AnalyticsProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningStatistical ModelingPredictive ModelingSegmentationForecastingCausal InferenceData AnalysisAI ApplicationData LiteracyImpact Measurement
Soft Skills
LeadershipStakeholder AlignmentCommunicationCollaborationDecision-Making
Tools & Technologies
DatabricksDataikuAnalytics PlatformsGenerative AI ToolsLLM-Based Tools
Certifications & Qualifications
Master's Degree in Data SciencePhD in Related Quantitative Discipline
Industry Keywords
Pharmaceutical AnalyticsHealthcare AnalyticsMarket AccessBrand ManagementLaunch Readiness

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead advanced analytics and data science projects addressing brand and marketing questions
  • Drive launch readiness through market and patient opportunity sizing, HCP universe definition and targeting, and early launch performance tracking
  • Develop and apply machine learning and statistical models, including predictive, propensity, clustering, response, forecasting, and causal inference models
  • Translate analytic outputs into decision-ready insights and recommendations
  • Partner with brand, marketing, Market Engagement, and sales planning teams to define business questions, success metrics, and impact measurement
  • Serve as a subject-matter expert on pharmaceutical commercial data sources
  • Identify business-grounded AI opportunities and support targeted AI pilots
  • Contribute business context and data expertise to DHH-wide AI initiatives
  • Ensure analytics and AI work meets privacy, compliance, and governance standards
  • Build data and AI literacy across commercial teams

Requirements

What you’ll need
  • 5+ years of experience in pharmaceutical or healthcare commercial analytics, marketing analytics, or data science
  • Proven record of supporting brand and marketing teams
  • Strong expertise in machine learning and statistics applied to HCP targeting, segmentation, predictive modeling, and promotional impact measurement
  • Deep knowledge of pharmaceutical commercial data and the commercial model, including brand, launch, market access, and field force
  • Proficiency in Python, SQL, and/or R
  • Proficiency in Databricks or Dataiku and related data and analytics platforms
  • Hands-on experience applying AI, including generative AI or LLM-based tools, to analytics workflows
  • Ability to translate complex analyses into decision-ready recommendations for senior leaders
  • Experience aligning cross-functional stakeholders and driving adoption of analytics and AI solutions
  • People and/or matrix leadership experience
  • Experience leading cross-functional teams, global collaborators, and external partners
  • Strong project management skills
  • Master's degree or PhD in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Engineering, Public Health, or a related quantitative discipline is required

Benefits

Comp & perks
  • Annual bonus
  • Long-term incentive, if applicable
  • Medical, dental, and vision healthcare
  • Other insurance benefits for employee and family
  • Retirement benefits, including 401(k)
  • Paid holidays
  • Vacation
  • Compassionate days
  • Sick days
  • Hybrid work arrangement