Senior Director, Advanced Analytics, Data Science & AI at Biogen

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, PharmaceuticalsIndustries

Requirements

Minimum of 10 years of experience in advanced analytics in US commercial setting
Strong background in data science and AI
Proven experience in leading and developing high-performing teams of data scientists (internal and external) and AI experts
Passion for data-driven problem solving
Proven ability to prioritize and manage complex and innovative projects
Ability to establish vision and direction in a fast-moving, challenging, and energetic commercial environment
Highly collaborative and perceptive problem-solver
Demonstrated ability to synthesize strategic insights and drive innovation
Exceptional and proven ability to influence, collaborate, and communicate with internal and external stakeholders at all levels

Responsibilities

Provide an enterprise view of insights across Product/Brand and Therapeutic Areas (TA) on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action
Lead the development and implementation of data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics
Manage and mentor a team of data scientists (internal and external) and AI experts to drive innovation and deliver high-quality results
Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations
Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them
Collaborate within the insights & analytics team, coordinating efforts with Insights & Analytics counterparts to develop and execute a comprehensive brand analytics plan
Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings
Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives
Define and track key performance indicators to measure the success and impact of data-driven solutions
Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI
Stay up to date with the latest advancements in data science and AI and apply them to improve processes and outcomes
Represent the company as a thought leader in data science and AI at conferences, events, and industry forums
Build university partnerships for driving innovation and leading-edge research techniques
Build strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making
Ensure compliance with data privacy and security regulations and maintain a high level of data integrity
Develop and manage budgets, resource allocation, and timelines for data science and AI projects