Manager - Life Sciences Commercial AI and Data Analytics

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

EY in Bengaluru is seeking an experienced Manager to lead Commercial Analytics strategy and delivery in life sciences. You will shape AI/advanced analytics solutions, drive data architectures, and guide senior stakeholders across US and global markets.

You will build and coach multidisciplinary teams, oversee complex data pipelines, and translate evidence into strategic actions that align with client needs and EY offerings.

Qualifications

• 7–12 years of experience in life sciences analytics with client and team leadership.
• Deep experience with pharmaceutical datasets such as IQVIA, Komodo, Symphony, Optum, HealthVerity, TriNetX and EHR/EMR.
• Strong understanding of the US pharmaceutical commercial model and global markets.
• Proven leadership across multiple commercial use cases like segmentation, targeting and forecasting.
• Experience shaping analytics solutions using SQL, Python/R, BI tools and cloud platforms.
• Experience directing data integration, ETL/ELT, data quality and reusable assets.
• Experience designing or governing ML or generative‑AI solutions with responsible AI.

Responsibilities

• Lead analytics strategy and delivery across multiple workstreams for life sciences clients.
• Shape AI solutions, ensure responsible AI practices, and communicate insights to stakeholders.
• Provide data architecture direction and oversee ETL/ELT pipelines and data quality.
• Advise clients and translate evidence into actionable recommendations and priorities.
• Lead multidisciplinary teams and contribute to proposals and thought leadership.

Skills

Life sciences analytics

Analytics consulting

Data science

Team leadership

Stakeholder management

SQL / Python / R

Education

Bachelor’s or Master’s in life sciences, engineering, data science or business

MBA or advanced degree in pharma/healthcare/analytics

Tools

IQVIA

Komodo

Symphony

Optum

HealthVerity

TriNetX

EHR/EMR data

Job description

EY - GDS Consulting - AI And DATA -Life Sciences Commercial -Manager At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Key Responsibilities

• Lead Commercial Analytics Strategy and Delivery Lead analytics engagements addressing market opportunity, patient journeys, segmentation and targeting, omnichannel performance, launch readiness, field effectiveness, forecasting, and brand performance. Frame ambiguous client challenges into clear hypotheses, analytical workplans, success measures, and decision points. Guide the selection and interpretation of pharmaceutical commercial and real-world data, ensuring that populations, cohorts, business rules, metrics, and limitations are appropriate to the business question. Own delivery quality, timelines, risks, and executive-ready outputs across multiple workstreams.

• Shape AI and Advanced Analytics Solutions Identify high-value applications of machine learning, generative AI, and advanced analytics across commercial functions, and distinguish viable opportunities from technology-led experimentation. Direct the design and validation of solutions such as segmentation, propensity, next-best-action, forecasting, anomaly detection, NLP, and AI-assisted insight generation. Ensure responsible AI practices, including appropriate data use, transparency, human oversight, performance monitoring, documentation, and compliance with client and regulatory expectations. Explain model assumptions, limitations, and business trade-offs to senior stakeholders in accessible language.

• Provide Data and Solution Architecture Direction Guide teams in designing scalable analytical datasets, reusable data models, and robust ETL/ELT pipelines across claims, EHR/EMR, laboratory, SP/HUB, CRM, sales, access, and digital sources. Set expectations for data quality, lineage, metadata, reproducibility, security, and documentation, and oversee resolution of complex data issues. Partner with data engineers, architects, data scientists, and visualization specialists to align solution design with analytical needs and enterprise technology standards. Promote reusable assets, modular code, automation, and cloud-based delivery approaches that improve quality and speed across engagements.

• Advise Clients and Translate Evidence into Action Act as a trusted advisor to commercial, marketing, sales, market access, analytics, and technology stakeholders. Synthesize analytical findings into clear strategic implications, recommendations, and implementation priorities. Lead workshops and senior stakeholder discussions, challenge assumptions constructively, and build alignment around decisions. Ensure recommendations reflect pharmaceutical market dynamics, treatment pathways, customer needs, regulatory constraints, and operational feasibility.

• Lead Teams and Build the Practice Lead, coach, and review multidisciplinary teams, creating clarity on roles, standards, timelines, and expected outcomes. Develop team capability across life sciences domain knowledge, analytics methods, AI, data engineering, quality assurance, and business storytelling. Contribute to proposals, solution design, thought leadership, reusable accelerators, and the development of EY offerings. Support account growth by identifying adjacent client needs and articulating differentiated, value-led solutions.

Required Skills & Experience

• Experience 7-12 years of experience in life sciences commercial analytics, healthcare analytics, analytics consulting, data science, or a related field, including significant responsibility for client and team leadership.

• Deep experience with pharmaceutical datasets such as IQVIA, Komodo, Symphony, Optum, HealthVerity, TriNetX, EHR/EMR, claims, SP/HUB, laboratory, CRM, sales, market access, and digital engagement data.

• Strong understanding of the US pharmaceutical commercial model and familiarity with global markets, including commercial functions, patient and HCP journeys, therapeutic areas, launch dynamics, and regulatory and privacy considerations.

• Proven leadership across multiple commercial use cases such as patient analytics, segmentation, targeting, omnichannel measurement, marketing mix, field effectiveness, forecasting, launch analytics, or market assessment.

• Experience shaping and overseeing analytics solutions using SQL, Python/R, BI tools, and modern cloud data platforms; sufficient technical depth to review solution design and challenge delivery teams.

• Experience directing data integration and engineering work, including analytical data models, ETL/ELT pipelines, data-quality controls, lineage, and reusable delivery assets.

• Experience designing or governing machine-learning or generative-AI solutions, including model validation, adoption, monitoring, and responsible AI considerations.

• Demonstrated experience managing senior client relationships, multidisciplinary teams, project economics, delivery risks, and competing priorities.

Domain and Consulting Skills

• Deep pharmaceutical commercial and healthcare domain expertise, with credibility in senior business discussions.

• Strategic, hypothesis-driven problem solving and the ability to structure complex, ambiguous client challenges.

• Ability to connect commercial strategy, analytical methods, AI opportunities, data architecture, and implementation realities.

• Strong executive communication, facilitation, negotiation, and storytelling skills.

• High standards for analytical rigor, data quality, documentation, and delivery governance.

• Inclusive people leadership, coaching, and performance-management capability across diverse and distributed teams.

• Commercial acumen and the ability to identify client value, shape proposals, and expand relationships.

Educational Qualifications

• Bachelor’s or Master’s degree in life sciences, engineering, data science, business, or a related discipline.

• An MBA or advanced degree in pharma, healthcare, analytics, or a related field is preferred.

Preferred (Good-to-Have) Experience

• Experience supporting US or global pharmaceutical commercial teams.

• Experience in oncology or another complex specialty therapeutic area.

• Experience contributing to consulting proposals, reusable accelerators, or analytics products.

What we look for

• People who can develop and implement creative solutions to challenging problems and work well with teams to accomplish them.

• We value an entrepreneurial spirit; people who are innovative by nature and continually explore better approaches, products, services, and technologies.

• Helping clients solve complex problems and implement practical solutions requires intellectual rigor, commercial judgment, curiosity, and a clear understanding of what works in real delivery environments.

• We seek people who lead themselves and others effectively, foster inclusive teamwork, and consistently deliver high-quality outcomes.

What working at EY offers

At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You will work on inspiring and meaningful projects, supported by education, coaching, and practical experience that enables your continued development. You will be part of an interdisciplinary environment that emphasizes high quality, knowledge exchange, and opportunities to build new skills and progress your career. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.