Director, Data Science

Job Description Job Title:Director Personalized Customer Engagement (PCE) – US Market Engagement, US Oncology, Digital Human Health Job Description: This role will reside within the Digital Human Health (DHH) US Market Engagement Team. This team operates as part of the US commercial team, providing 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 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 in-line commercial objectives. The individual in this role will be an independent contributor, as well as a team leader, 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 oncology & technology (ML algorithm, AI, agentic etc.), The candidate will be accountable for creating targeting and segmentation models for the Oncology Business Unit that will be used for the allocation of promotional resources and tactics across channels, brands, and customer segments. The Director will also develop and lead self-service analytics, AI solutions, and decision-support capabilities that improve commercial performance, HCP segmentation and engagement; establish KPI, data, and measurement standards across omnichannel engagement, performance reporting, and HCP/account analytics; lead analytics resources and external partners, building capabilities, prioritizing work, and scaling best practices across the organization; work with HH market leaders and provide guidance to help define omnichannel tactics and strategies to implement customer targeting and segmentation schemes using predictive and machine learning models, with a focus on automation , standardization and Agentic AI enablement across our company's oncology portfolio. &#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61; Key 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 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. Education Requirements: BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline. Required Experience and Skills: 7&#43; years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry. Self-motivated, proactive mindset, and ability to work independently. Story-telling and executive presence 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. Superior Organizational and project management skills to work effectively across the organization Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation. 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). Travel may be required Ability to develop efficient programming code and software assets that provide advanced analytical functionality. Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc. &#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61;&#61; Preferred Experience and Skills: Domain knowledge in oncology , specifically as it relates to data analytics. Previous experience in managing employees or contractors. MBA, MS or PhD degree is a plus. Work location : Upper Gwynedd, PA (role will be hybrid and chosen candidate is expected to be in the office at least 3 days/week). Required Skills: Advanced Analytics, Advanced Analytics, Analytical Tools, Base SAS, Business Acumen, Business Decisions, Business Intelligence (BI), Business Metrics, Business Opportunity Identification, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Executive Leadership, Growth Mindset, Ideation, Insight Generation, Machine Learning (ML), Marketing Science, Python (Programming Language), Software Development, Stakeholder Relationship Management, Statistical Analysis {+ 1 more} Preferred Skills: Current Employees apply HERE <p st