Assoc. Dir , Data Science & Advanced Analytics

Job Description

This role will reside within the DHH US Market Engagement Team for Pharma. This team provided strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co‑creating DHH demand and associated business requirements aligned to business priorities. The US Market Engagement team Quarterbacks demand fulfillment and leads the activation of DHH products and services.

The Associate Director, Data Science & Advanced Analytics, will be responsible for developing data‑driven insights to inform brand strategy and tactics in support of the pharma portfolio. This role will focus on applying advanced data science to deliver strategic non‑product DHH services to US Pharma Business unit such as HCP targeting/segmentation, call planning, campaign measurement & effectiveness etc.

• 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, DDD, and other sources) to develop insights that inform commercial business strategies.
• Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
• Contribute to innovative experiments
  , specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.
• Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.
• Lead 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.

The individual in this role will be an independent contributor or lead 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 empower a growth mindset and inspire 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 mindset, experience in immunology and / or ophthalmology. They should have a demonstrated record of producing actionable insights from analytics leveraging digital/technology (AI, agentic etc.). The person should be able to identify the data, analytics and research needs to define, enable, 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 thrive 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 that require advanced and scalable solutions that produce actionable insights.

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health is required.
• MBA, MS or PhD degree is preferred.

• 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
• Knowledge in mining patient medical claims/EMR data as well as…