Associate Director - Brand Strategy Analytics Oncology

MSD; Pune District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

MSD in Pune is seeking an Associate Director Brand Strategy Analytics, Oncology, Digital Human Health to lead a team delivering strategic data insights across inline and pipeline assets. You will partner with Global and Regional teams, Sales, Clinical Development, and BD to shape analytics that drive commercial decisions and business impact.

By guiding analytics plans, patient journey studies, and real-world data programs, you will accelerate portfolio priorities, foster automation and

Responsibilities

• Lead development and synthesis of commercial data and insight solutions across inline and pipeline analytics for Oncology assets.
• Translate business priorities into analytical plans addressing brand-team and BD questions with actionable insights.
• Lead and mentor 15+ team members; orchestrate cross-functional insights pods spanning DHH and Human Health.
• Drive proactive stakeholder engagement with BU leads and cross-functional partners to align on priorities and enable decision-making.
• Prioritize work with disease-area leads and articulate value/impact of each analytics piece.
• Oversee patient journey analytics and real-world data analytics to inform commercial decisions.

Job description

Job Description

Associate Director Brand Strategy Analytics, Oncology, Digital Human Health

Job Description:This role sits within the Brand Strategy vertical of Digital Human Health (DHH) - the patient-centric capability that owns the analytics arc from patient journey through brand performance for the Oncology portfolio across both inline and pipeline assets. The team operates as an embedded partner to the commercial organization, providing strategic thought partnership to marketing and cross-functional stakeholders. It shapes demand by translating business priorities into actionable analytics needs, quarterbacks delivery across DHH capabilities, and drives activation of products and insights to enable decision-making and business impact.

The Associate Director will be responsible for developing and delivering strategic data insights and analytics that address Oncology BU teams' key business questions and inform launch-related and inline commercial decisions across the Oncology portfolio (covering Women's Cancer, Hematology, Lung, GU, GI, and the Oncology precision medicine and Early Assets are few). The team member will partner closely with Global and Regional market teams, , Sales, Enterprise Strategy, Clinical Development, and BD to inform executive decision-making and increase commercial rigor through every phase of asset development, launch and inline.

The Associate Director will work alongside other DHH capability functions - Market Research, Forecasting, Data Science, Data Strategy & Solutions, Payer Insights & Analytics, Data Visualisation, Commercial AI, IT - to proactively orchestrate the planning and delivery of complex insights and analytics assessments.

The role partners closely with BU engagement leads to proactively shape and inform portfolio-level brand strategy, while advancing capabilities through systematization, automation, and AI. The AD is accountable for positioning the India Hub as a strategic analytics partner, embedding productivity, scalability, and value-driven outcomes across engagements.

Role Overview:

The Associate Director will lead a team of Senior Managers, Managers, Associate Managers covering Oncology TA / asset and capability domains (Brand Performance Synthesis, Secondary Analytics, Patient Insights, Analytics Tool Activation). The candidate must be able to lead direct teams and orchestrate cross-functional insights pods spanning DHH and the broader Human Health organisation. The individual will demonstrate consistently strong leadership, the ability to work objectively in ambiguity, strong partnership skills, a culture of continuous learning.

The preferred candidate will have an entrepreneurial spirit, a consultative and strategic mindset, strong Oncology TAs, fluency in technology (AI, GenAI, Agentic), and a demonstrated record of producing actionable insights from analytics. The individual should have a strong understanding of the US and exUS Oncology data landscape - claims, EMR, real-world data, biomarker data, Rx, market research data, and the ability to translate ambiguous business questions into advanced, scalable analytical solutions.

Key Responsibilities:

• Oncology portfolio analytics - inline & pipeline: Lead the development and synthesis of commercial data and insight solutions, portfolio analytics, business cases, performance measurements and market evaluations to support decision-making for the Global and US Oncology teams.
• Brand strategy translation to analytics plan: Translate business needs and priorities into analytical plans that answer brand-team and BD questions with actionable insights. Effectively communicate advanced analytics to commercial stakeholders to inform decisions across the value chain - pipeline prioritization, product performance, launch readiness.
• Team leadership and cross-functional orchestration: Lead and mentor 15+ team members, providing guidance on best practices in data analytics, modeling and data visualization. Manage team workload proactively and ensure optimal resource utilization. Lead cross-functional insights pods in addition to direct teams.
• Stakeholder collaboration: Drive proactive, transparent engagement with BU leads, cross-functional partners to co-create solutions, align on organizational priorities, and set clear expectations. Provide internal and business stakeholders with forward-looking visibility into key programs to inform milestones, prioritization, risk mitigation, and aligned decision-making.
• Prioritization and value tracking: Understand the full book of work underway and planned for each disease area or business unit. Work with BU leads to prioritise against teams capacity. For prioritised work, engage cross-functional teams to articulate the value and impact of each piece.
• Patient journey and RWD analytics: Build and oversee patient journey analytics, patient-flow modeling, simulation-based modeling, and other patient-modeling techniques on commercial and real-world .