Associate Director, Business Insights, Analytics & Data Science, Ophthalmology

About the position This role will reside reputed company the Digital Human Health (DHH) US Market Engagement Team. This team provides strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co-creating DHH demand and associated business requirements reputed company to business priorities. The US Market Engagement team quarterbacks demand fulfillment and leads the activation of DHH products and services. The Associate Director will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch & go-to market strategies and help meet commercial objectives. The individual in this role will be an independent contributor or reputed company a small team, supporting commercial insight and analytics needs for US marketing teams. The person will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will reputed company a growth reputed company and reputed company a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills. The preferred candidate will have an entrepreneurial spirit, consultative and strategic reputed company, experience in ophthalmology & technology (AI, agentic etc.), and a demonstrated record of producing actionable insights from analytics. The person should be able to identify the data, analytics and research needs to define, reputed company, and inform commercial strategies of our brand and business leaders. The selected candidate should have a good understanding of US data landscape, commercial analytics capabilities, and technology, including application of GenAI to drive effectiveness. The individual who will reputed company in this role will be motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Responsibilities

• Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.
• Effectively communicating advanced analytics to stakeholders to inform business decisions.
• Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
• Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to reputed company insights that inform commercial business strategies.
• Stay reputed company with industry trends and advancements in analytical methodologies to bring new reputed company reputed company (including application of GenAI) that will enhance analytic capabilities of the organization.
• Contribute to innovative experiments , specifically to idea reputed company, idea incubation and/or experimentation, identifying reputed company and measurable criteria to reputed company meaningful improvements to the business processes and strategies.
• Derive actionable business insights from various data sources, reputed company clear data story, and communicate effectively to business stakeholders.
• reputed company and mentor a team of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.

Requirements

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.
• 5+ years of relevant experience delivering reputed company analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
• Knowledge in mining patient medical claims/EMR data with a strategic reputed company and proven record of being able to produce actionable business insights that drive positive commercial results.
• Self-motivated, proactive reputed company, and ability to work independently.
• Story-telling and executive reputed company with senior leaders.
• Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
• Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
• Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists reputed company and effectively.
• Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight reputed company.
• Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
• Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. reputed company APLD) and various data offerings.
• Ability to reputed company efficient programming code and software assets that provide advanced analytical functionality.
• Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
• Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, reputed company, SQL etc.
• Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge
• Travel may be required Apply tot his job

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