Senior Manager, Data Science & Analytics

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

ROLE SUMMARY

Are you passionate about transforming data into actionable insights for marketing and commercial success Do you thrive in a dynamic environment that blends data science analytics and commercial strategy for Pharma Join our team as a Senior Manager Data Science & Analytics where you will lead the development and deployment of advanced analytics solutions to support strategic decisions across key commercial and business priorities. Youll leverage cutting-edge technologiesincluding AI machine learning Generative AI and cloud-based analytics platformsto drive decisions and optimize outcomes across channels and customer segments. This global role offers the opportunity to collaborate with cross-functional teams influence strategy and shape the future of data-driven decision making.

The ideal candidate is an expert in data science with experience working in diverse and cross-functional teams bridging the gap between data technology and people with experience in advanced analytics and impact assessment using techniques like experimentation (A/B testing) observational analytics and predictive modeling to deliver the promise of AI/ML to improve patients lives.

ROLE RESPONSIBILITIES

Lead the design development and implementation of advanced analytics and data science solutions using statistical and machine learning techniques.
Drive the evolution of analytics processes for data integration performance measurement and decision support across commercial and business initiatives.
Oversee experimentation frameworks (A/B testing test-control design causal inference approaches) to quantify impact and optimize business decisions.
Serve as the subject matter expert for advanced analytics and data science providing strategic guidance to senior commercial and business leaders.
Collaborate with cross-functional teams (marketing finance IT data engineering product teams agencies as applicable) to align analytics initiatives with business objectives and ensure seamless data integration.
Lead and mentor a team of data scientists and analysts fostering technical excellence and professional growth.
Develop and maintain reusable analytics assets custom data pipelines and dashboards for performance tracking and visualization.
Communicate complex analytical findings to non-technical stakeholders translating data insights into actionable recommendations.
Stay abreast of industry trends in advanced analytics AI Generative AI and data science proactively identifying opportunities for innovation.
Lead planning and prioritization of analytics services and change management with cross functional stakeholders.
Define evaluation and monitoring approaches for LLM/agent-assisted analytics (quality reliability bias traceability) and promote responsible AI practices.

Technical skills and competencies:

Strong strategic conceptual and analytical thinker with the ability to understand analytics needs leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions.
Applied expertise in statistical modeling machine learning experimentation forecasting and optimization; ability to select the right technique based on business context and data limitations.
Advanced proficiency in Python R SQL and cloud analytics platforms (e.g. Azure AWS GCP).
Applied knowledge of machine learning deep learning and statistical modeling across structured and unstructured data.
Working knowledge of Generative AI and Agentic AI concepts (prompting patterns tool use/function calling orchestration basics RAG fundamentals)

BASIC QUALIFICATIONS

9 years of experience in advanced Analytics / Data Science with experience delivering solutions for commercial marketing or business domains.
2 years in a leadership role managing analytics teams and cross-functional projects. STEM degree (Statistics Computer Science Engineering Mathematics Economics) with quantitative emphasis.
Expert proficiency in Python R SQL and modern analytics platforms.
Demonstrated experience in statistical analysis machine learning and optimization.
Strong verbaland written communication skills; ability to influence and collaborate across teams.
Applied knowledge of statistical analysis experience with R Python Excel etc.
Strong background in optimization mathematical modeling machine learning algorithms and data structures superior analytical skills required.
Strong verbal and written communication skills.
Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

PREFERRED QUALIFICATIONS

Industry experience in healthcare / pharma / life sciences marketing analytics or commercial analytics.
Consulting experience and proven project management skills.
Experience with Bayesian statistics cloud computing and big data technologies.
Exposure to Generative AI solutions (LLMs) including practical experience with retrieval-augmented generation (RAG) evaluation approaches and responsible AI practices.
Familiarity with agentic patterns such as multi-step workflow orchestration tool-augmented LLMs and human-in-the-loop decisioning

Work Location Assignment:Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Marketing and Market Research

Required Experience:

Senior Manager

ROLE SUMMARYAre you passionate about transforming data into actionable insights for marketing and commercial success Do you thrive in a dynamic environment that blends data science analytics and commercial strategy for Pharma Join our team as a Senior Manager Data Science & Analytics where you will ...

ROLE SUMMARY

ROLE RESPONSIBILITIES

Lead the design development and implementation of advanced analytics and data science solutions using statistical and machine learning techniques.
Drive the evolution of analytics processes for data integration performance measurement and decision support across commercial and business initiatives.
Oversee experimentation frameworks (A/B testing test-control design causal inference approaches) to quantify impact and optimize business decisions.
Serve as the subject matter expert for advanced analytics and data science providing strategic guidance to senior commercial and business leaders.
Collaborate with cross-functional teams (marketing finance IT data engineering product teams agencies as applicable) to align analytics initiatives with business objectives and ensure seamless data integration.
Lead and mentor a team of data scientists and analysts fostering technical excellence and professional growth.
Develop and maintain reusable analytics assets custom data pipelines and dashboards for performance tracking and visualization.
Communicate complex analytical findings to non-technical stakeholders translating data insights into actionable recommendations.
Stay abreast of industry trends in advanced analytics AI Generative AI and data science proactively identifying opportunities for innovation.
Lead planning and prioritization of analytics services and change management with cross functional stakeholders.
Define evaluation and monitoring approaches for LLM/agent-assisted analytics (quality reliability bias traceability) and promote responsible AI practices.

Technical skills and competencies:

Strong strategic conceptual and analytical thinker with the ability to understand analytics needs leverage learnings from other industries and use sophisticated analytical tools and techniques to build effective solutions.
Applied expertise in statistical modeling machine learning experimentation forecasting and optimization; ability to select the right technique based on business context and data limitations.
Advanced proficiency in Python R SQL and cloud analytics platforms (e.g. Azure AWS GCP).
Applied knowledge of machine learning deep learning and statistical modeling across structured and unstructured data.
Working knowledge of Generative AI and Agentic AI concepts (prompting patterns tool use/function calling orchestration basics RAG fundamentals)

BASIC QUALIFICATIONS

9 years of experience in advanced Analytics / Data Science with experience delivering solutions for commercial marketing or business domains.
2 years in a leadership role managing analytics teams and cross-functional projects. STEM degree (Statistics Computer Science Engineering Mathematics Economics) with quantitative emphasis.
Expert proficiency in Python R SQL and modern analytics platforms.
Demonstrated experience in statistical analysis machine learning and optimization.
Strong verbaland written communication skills; ability to influence and collaborate across teams.
Applied knowledge of statistical analysis experience with R Python Excel etc.
Strong background in optimization mathematical modeling machine learning algorithms and data structures superior analytical skills required.
Strong verbal and written communication skills.
Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa

PREFERRED QUALIFICATIONS

Industry experience in healthcare / pharma / life sciences marketing analytics or commercial analytics.
Consulting experience and proven project management skills.
Experience with Bayesian statistics cloud computing and big data technologies.
Exposure to Generative AI solutions (LLMs) including practical experience with retrieval-augmented generation (RAG) evaluation approaches and responsible AI practices.
Familiarity with agentic patterns such as multi-step workflow orchestration tool-augmented LLMs and human-in-the-loop decisioning

Work Location Assignment:Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Marketing and Market Research

Required Experience:

Senior Manager

Key Skills

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Pfizer

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