Kyowa Kirin is a global specialty pharmaceutical company backed by more than 70 years of breakthrough life science innovation, dedicated to discovering and advancing treatments for diseases in which unmet need is greatest. Based in Japan with worldwide operations, we work across the continuum from drug discovery to commercialization, guided by our commitment to patients and their families.

Our research teams, located in California and around the world, are focused on developing the next generation of antibody, cell, and gene therapies, with particular emphasis on bone and mineral disorders, hemato-oncology, and rare diseases. We accelerate development through collaborations with industry, academia, patients, and healthcare providers, and since 2018 we have introduced four new therapies serving patients with progressive illnesses often in need of new therapeutic alternatives.

Our culture is grounded in our values: Commitment to Life, Integrity, Innovation, and Teamwork/Wa, and brought to life through the Kabegoe Principles, which define the behaviors and actions that guide how we work together to deliver meaningful impact for patients.

We’re proud of the progress we’ve made and mindful of the countless individuals still waiting for their own breakthroughs. A commitment to making people smile unites our efforts. Learn more at www.kkna.kyowakirin.com.

Summary of Job

Director, Commercial Analytics

The Director of Commercial Analytics will work closely with sales, marketing and patient services team to lead specific commercial excellence initiatives and drive data-driven strategic decision-making by providing actionable insights from market data, sales trends, and competitive analysis. This role is key to driving the growth and commercial success of Oncology products, focusing on the integration of data from various sources to inform business strategies, marketing, and sales efforts.

Key Responsibilities

Market Insights & Analysis

Collaborate with cross-functional teams to translate insights into commercial strategies for product positioning, targeting, and promotion.
Lead in-depth analysis of market trends, competitive landscape, and customer behaviors.
Monitor and forecast pharmaceutical market dynamics, including product performance, market share, and pricing trends.

Data & Analytics

Build advanced and predictive / ML data analytics capabilities to drive commercial excellence across functions
Design and execute advanced analytics, including predictive modeling, segmentation, and customer journey analysis.
Leverage big data, advanced analytics tools, and platforms to uncover commercial opportunities and optimize resource allocation.

Business & Commercial Strategy

Provide strategic recommendations to optimize marketing campaigns, sales efforts, and product launches based on data-driven insights.
Collaborate with commercial teams (e.g., Sales, Marketing, Market Access) to ensure that data insights align with business objectives and customer needs.
Work closely with leadership to inform long-term commercial strategies and investment decisions.

Stakeholder Management

Act as a key point of contact for internal stakeholders, providing clear communication of analytics insights and strategic recommendations.
Present findings and reports to senior leadership, driving data-informed decision-making across the organization.

Qualifications

Education

Bachelor’s degree in a relevant field such as Business, Economics, Data Science, Statistics, or related disciplines.
Advanced Degree Preferred.

Experience

15 years of experience in analytics, market insights, or related roles in the pharmaceutical or healthcare industry.
Experience in using data to inform commercial strategies within the pharmaceutical industry is highly preferred.
Proven track record of working with large datasets, advanced analytics techniques, and data visualization tools (e.g., Tableau, Power BI).

Skills

Strong analytical skills with experience in data mining, statistical analysis, and predictive modeling.
Proficient in tools such as SQL, Databricks, and Python for data analysis.