Director, Decision Intelligence & AI Product Strategy

Bayer•Hanover Township, NJ

22h•$151,120 - $226,680•Hybrid

About The Position

The Director, Decision Intelligence & AI Product Strategy is the senior analytical architect and strategic thought partner for the US Asundexian Product Squad. Reporting to the Senior Director who leads Decision Intelligence (DI) for Asundexian, you translate the business’s most important decisions into clear analytical blueprints, design the approach and evidence needed to answer them, and ensure the resulting insights are embedded into business workflows and actions. In this role, you will help shape strategic priorities alongside the Senior Director while also rolling up your sleeves to conduct sophisticated analyses and generate breakthrough insights. You will connect business context, analytics, research, data and technology so that decision products address the Product’s most important needs and generate measurable business value. Working across the full decision-product lifecycle, you will partner closely with other groups within DI to design, build, validate, deploy, operate and continuously improve reusable analytical capabilities. While accountability shifts across the lifecycle, you hold primary accountability for architecting the analysis — framing decisions into blueprints, defining methods and evidence, and assuring analytical quality — and you own the interpretation, adoption and decision impact of the analytics you shape. This position combines the intellectual rigor of deep analytical work with the strategic impact of advising senior leadership on high-stakes business decisions. You will work closely with the Senior Director to drive high-quality insights, effective decisions, product growth and competitive advantage. The preferred location for this role is Whippany, NJ, however, residence-based candidates in the US will be considered based upon needs of the business.

Requirements

Minimum of a Bachelor’s degree
Extensive experience in pharmaceutical or healthcare commercial market intelligence, including primary research, secondary research, third-party data analytics and vendor management
Strong knowledge of the US healthcare environment
Proven track record of serving as a strategic advisor to senior business leaders
Demonstrated ability to frame complex business decisions and translate them into analytical blueprints, hypotheses, KPIs and actionable recommendations
Experience leading analytical initiatives or products from initial problem framing through deployment, adoption and continuous improvement
Strong analytical and synthesis skills, including hands-on experience executing complex analyses and facilitating insight generation
Excellent strategic thinking and problem-solving capabilities
Comprehensive knowledge of relevant pharmaceutical data sources, including IQVIA, Komodo, Symphony, laptop and iPad detailing data, Specialty Pharmacy data and formulary data
Strong verbal and written communication skills, demonstrated through executive presentations, succinct PowerPoint narratives, structured syntheses and clear recommendations

Nice To Haves

Postgraduate degree (such as a Master’s or PhD) in Health Economics, Statistics, Management Science, Business, Marketing or a related field
Ten or more years of relevant work experience
Deep understanding of health system and IDN dynamics
Market access analytics experience

Responsibilities

Serve as a strategic thought partner and analytical architect for the Product Squad
Act as a trusted advisor to Product leadership, and partner with the Senior Director to shape and prioritize the Product’s decision agenda by expected value, urgency and strategic importance.
Translate business questions into analytical blueprints that define the required evidence, data, methods, KPIs, drivers and measures of success.
Design analytical blueprints that define the decisions, users, cadence, evidence, data, methods, KPIs and measures of success, distinguishing one-time questions from recurring decisions that warrant a reusable decision product.
Generate insights through the synthesis of multiple data sources, and lead major analytical deliverables including situation analyses, forecasting, launch analytics, performance analytics and reporting.
Conduct sophisticated analyses and market research such as patient journey mapping, segmentation and competitive intelligence.
Determine whether a business need is a one-time analytical question or a recurring decision that should be supported through a reusable decision product.
Own the analytical blueprint end-to-end — establishing business context, success measures, driver architecture, evidence requirements and decision workflows — while partnering with Integrated Decision Products and Data, AI & Product Engineering, recognizing that primary accountability shifts across lifecycle stages.
Validate the analytical approach as products are built, then confirm business fitness, traceability and appropriate release controls before embedding insights into business workflows and enabling users.
Monitor quality, performance and usage to recommend what to enhance, scale, recalibrate or retire, and work with partners to resolve recurring failure patterns in models, assumptions, business rules and user experience.
Co-own product design, scope and priority trade-offs with other groups within DI on data needs, standards and technical requirements.
Promote reuse of analytical capabilities and decision products where common business needs and workflows exist.